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Last Week

Principal Data Architect
 
machine learning nlp big data cloud aws testing Apr 05
Atlassian is continuing to hire with all interviewing and on-boarding done virtually due to COVID-19. All new and existing Atlassians will continue to work from home until it’s safe to return to our offices. When our offices re-open, we will provide the choice to work from home or return to work in an office unless a job requirement makes it necessary for a particular role to be performed at an Atlassian office.


Job description

Atlassian is seeking an experienced, strategic, and innovative Principal Data Architect to lead in the expansion of the company’s use of data as a strategic enabler of corporate goals and objectives. This individual will act as a trusted technical partner to the Data Engineering leadership team.

In this role as a Principal Data Architect, you will be working with the Corporate Data Engineering (DE), Go to Market (DE), and Data platform teams to provide strategic guidance as to how teams should approach the design and implementation of reliable, performant and scalable data solutions. You will be relied up on to research and recommend integration and analytical products and architectural patterns as well as possessing the ability to provide implementation guidance. Great communication and collaboration is crucial to this role as you will be partnering with teams across IT, R&D and various business units and should be able to articulate the current and end-state architectures to the various stakeholders.

More about you

In this role, you will:

  • Lead the IT data strategy and data architecture (which includes Enterprise IT information architecture, as well as applications / tools / platforms that are related to data architect) in order to meet the business' information needs
  • Gain an understanding of the current data architecture, sources and tooling and then, with the data data platform team, define the target data architecture strategy that builds on business objectives
  • Partner with other architects to influence data strategy at Enterprise level
  • Push the organization become more data driven and drive forward towards innovations in the data space; actively learn from the broader industry and brings insights back to the organization
  • Foster a culture of collaboration with the disparate data teams throughout the organization
  • Introduce standard methodologies and principles around data governance to enable consistent delivery and enable alignment with strategic direction
  • Partner with compliance teams to ensure DE is meeting data governance requirements (privacy, security, data retention, etc)

On your first day, we'll expect you to have:

  • 10 + years demonstrated ability as an Data Architect for a technology organization
  • Combined 15+ years of experience in several of the following areas: software design and development; architecting of modern heavily utilized, highly available data applications
  • Proficiency in defining current and future state data architecture models
  • In depth knowledge of cloud data platforms (eg Amazon AWS, DataBricks)
  • Expertise in designing and building SQL, no-SQL, big data, GraphDB, APIs and streaming solutions
  • Deep experience in software engineering practices – design principles and patterns, unit testing, performance engineering, best practices for security and privacy
  • Experience with Neural Networks, machine learning, deep learning and NLP tools and frameworks
  • Experience working in an Agile/Scrum environment
  • Strong analytical and conceptual skills and the ability to build original concepts and hypotheses for a variety of projects
  • Excellent communication skills that translates business problems in technical solutions
  • Ability to switch anytime from being a high-level strategy person to an “in the weeds” technical person
  • High level of energy and a desire to thrive in a large, fast-paced organization; ability to balance multiple projects under pressure
More about our team

Data is a BIG deal at Atlassian. We ingest over 180 billion events each month into our real-time platform and we have dozens of teams across the company depending on the speed and data the platform provides.

You’ll be joining a strong team that is spread out among multiple Atlassian locations. We value when people ask hard questions and challenge each other to constantly improve our work. We are independent but love highly collaborative team environments, so you'll get the opportunity to work with lots of other awesome people just like you.

More about our benefits

Whether you work in an office or a distributed team, Atlassian is highly collaborative and yes, fun! To support you at work (and play) we offer some fantastic perks: ample time off to relax and recharge, flexible working options, five paid volunteer days a year for your favourite cause, an annual allowance to support your learning & growth, unique ShipIt days, a company paid trip after five years and lots more.

More about Atlassian

Creating software that empowers everyone from small startups to the who’s who of tech is why we’re here. We build tools like Jira, Confluence, Bitbucket, and Trello to help teams across the world become more nimble, creative, and aligned—collaboration is the heart of every product we dream of at Atlassian. From Amsterdam and Austin, to Sydney and San Francisco, we’re looking for people who want to write the future and who believe that we can accomplish so much more together than apart. At Atlassian, we’re committed to an environment where everyone has the autonomy and freedom to thrive, as well as the support of like-minded colleagues who are motivated by a common goal to: Unleash the potential of every team.

Additional Information

We believe that the unique contributions of all Atlassians is the driver of our success. To make sure that our products and culture continue to incorporate everyone's perspectives and experience we never discriminate on the basis of race, religion, national origin, gender identity or expression, sexual orientation, age, or marital, veteran, or disability status.

All your information will be kept confidential according to EEO guidelines.

Learn more about Atlassian’s culture, interviewing flow, and hiring process by checking out our Candidate Resource Hub.
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This Year

Data Scientist - Compliance Systems
python data science machine learning big data crypto nlp Feb 17
About Kraken

Kraken is changing the world. Join the revolution!

Our mission is to accelerate the adoption of cryptocurrency so that you and the rest of the world can achieve financial freedom and inclusion. Founded in 2011 and with over 4 million clients, Kraken is one of the world’s largest, most successful bitcoin exchanges and we’re growing faster than ever. Our range of successful products are playing an important role in the mainstream adoption of crypto assets. We attract people who constantly push themselves to think differently and chart exciting new paths in a rapidly growing industry. Kraken is a diverse group of dreamers and doers who see value in being radically transparent.

In less than a decade Kraken has risen to become one of the best and most respected crypto exchanges in the world. We are changing the way the world thinks about money and finance. The crypto industry is experiencing unprecedented growth and Kraken is leading the charge. We’ve grown from 70 Krakenites in January 2017 to over 1200 today and we have no intention of slowing down.

The Compliance Systems team works at the intersection of Data Science, Product and Compliance. The Systems team is looking for a Data Scientist with a background in statistics, machine learning and/or natural language processing to help us build and maintain models to describe and predict anomalous customer activity on Kraken’s platform. The role will involve maintaining the transaction monitoring rules codebase, ensuring that requirements for model validation are met, and building a number of new models to enhance existing controls. There is significant scope for innovation in this role, and we are looking for someone who thrives in an environment of ‘freedom with responsibility’. The ideal candidate would have some familiarity with the control systems used to comply with regulatory requirements under BSA/AML or AMLD 4+, but this is not required. A great candidate will be someone who has experience solving customer and behaviour profiling problems in an evolving data environment.

Responsibilities

  • Partner with Compliance operations, Product, Engineering and other stakeholders to build descriptive and predictive models to identify anomalous activity.
  • Maintain the existing transaction monitoring rules codebase.
  • Ensure that all activities meet model validation requirements.
  • Design and build proof-of-concept models to test hypotheses and help with idea generation and refinement.
  • Use structured and unstructured data to enrich transaction monitoring metadata.
  • Drive cross functional projects from beginning to end: build relationships with partner teams.
  • Communicate model methodology and results to operations teams and Compliance leadership.
  • Develop anomaly detection and data modelling tools to monitor key performance indicators to improve the efficiency of models.

Requirements

  • PhD or Masters degree in Statistics, Computer Science, Physical Sciences, Economics, Math or a related technical field.
  • 3+ years industry experience in data science or analytics.
  • A consistent track record of performing data analysis using Python, SQL or other CLI tools.
  • Experience using statistics and predictive analytics to solve complex business problems.
  • Versatility and willingness to learn new technologies on the job.
  • The ability to clearly communicate complex results to technical and non-technical audiences.
  • Familiarity with big data tools such as Zeppelin, Spark, Kubernetes is a strong plus.
  • Familiarity with financial crime and market abuse typologies is a plus.


We’re powered by people from around the world with their own unique backgrounds and experiences. We value all Krakenites and their talents, contributions, and perspectives.

Check out all our open roles at https://www.kraken.com/careers. We’re excited to see what you’re made of.  

Learn more about us

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QA Engineer, ML
qa python machine learning testing api healthcare Feb 16
Company Description
Hyperscience is a technology company blazing a new path in enterprise automation with a reimagined approach to building and powering processes. The Hyperscience Platform is the world's first Software-Defined, Input-to-Outcome Automation platform used by top public companies and government organizations around the world to build and run mission-critical processes with ease and speed.

Hyperscience helps enterprises quickly build and roll out new business processes with built-in automations, reduce manual errors, increase high- and low-skilled employee productivity, and eliminate the need for costly transformation. Hyperscience’s Intelligent Document Processing solution has been implemented at some of the world's leading financial services, insurance, healthcare and government organizations, including TD Ameritrade, QBE Insurance Group Limited and Voya Financial, helping them lower costs, reduce error rates by 67% and increase employee capacity by 10x.

Since its founding in 2014, Hyperscience has grown to more than 250 employees with offices in New York City, Sofia, Bulgaria, and London, UK, and has consistently been recognized as one of the best places to work, with a collaborative and innovative culture and best-in-class benefits.

Job description
We are focused on building the world’s first Software-Defined, Input-to-Outcome platform by understanding documents, extracting structured and unstructured data, and automating business processes end-to-end - and we’re looking for amazing people to join us.  

Machine Learning (ML) sits at the core of our efforts to automate the future work. We turn ML lab experiments into enterprise-ready AI solutions to solve complex machine perception and natural language understanding problems. 

This is an opportunity to work on the full lifecycle of an AI solution - you will research cutting-edge techniques (Computer Vision, Natural Language Processing, Meta Learning, Online Learning), implement them in a fast-growth AI startup environment, and ensure thеy are integrated in a reliable and scalable way to bring real value to customers. 

We're looking to grow our Machine Learning team with the addition of Quality Assurance Engineer. You will be working directly with our world-class Machine Learning engineers and Product team and will help them to test and improve our products.

Responsibilities:

  • Provide input/status updates regarding test progress/results on a daily basis
  • Prepare test environments
  • Report and verify bugs
  • Check the compatibility of our ML model with the application versions
  • Analyse performance results of the model
  • Report and identify errors and inconsistencies throughout all functional areas or identify and research issues with our products
  • Execute end to end scenarios to verify that the model performs as expected
  • Work closely with the Product Manager to define and clarify requirements
  • Help the teams to identify and resolve ML problems
  • Help Product Manager in custom demos preparation for prospects
  • Create and write efficient manual and automation test cases
  • Execute the test suites for the application
  • Contribute to the improvement of the development and release process
  • Early engagement during requirement definition

Qualifications:

  • At least 3+ years of experience in the QA and Manual Testing field
  • At least 1+ years of experience in test automation
  • Experience of working in distributed teams and Agile environment
  • Excellent understanding of the Development and Test process and the role of the QA Engineer
  • Very good troubleshooting and analytical skills
  • Experience with data analysis
  • Excellent verbal and written communication skills in English 
  • Understands usability and UX, and the importance of design and presentation
  • Self-driven, curious and highly-motivated
  • Able to work in collaboration with other team members as well as to meet deadlines
  • Willingness to help out in other functional areas and able to adjust to changing priorities
  • Trustworthy and energetic team player with a strong work ethic

Nice-to-haves

  • Programming skills in Python or other languages
  • Experience with Selenium or other Web testing tools and frameworks
  • Experience with REST API testing and CI/CD platforms
  • Good skills at mathematics
  • Good skills at statistics

Benefits & Perks

  • You’ll work with some of the best machine learning, software and test engineers in one of the most innovative tech companies in Sofia
  • Budget to attend conferences, train, and further your education
  • A dedicated budget to set your work from home space & monthly reimbursement on recurring expenses
  • Monthly budget to cover child care and educational needs/expenses30 days of paid leave annually to help nurture work-life symbiosis
  • A great office, with excellent location
  • Massages at the office by a professional massage therapist
  • Auto assistant for your car
  • Catered lunches, afternoon breakfasts, and a great variety of snacks and drinks
  • A sports card, covering various options for sport
  • Additional health insurance package, including extensive medical, dental & vision care
  • Truly competitive salary
  • Stock Options
  • Referral bonus
All job applications will be treated and processed with strict confidentiality and in full compliance with the GDPR provisions. We are an equal opportunity employer and value diversity at our company. We do not discriminate on the basis of race, religion, color, national origin, gender, sexual orientation, age, marital status, veteran status, or disability status.
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Software engineer AI & Machine Learning - Paris
Dataiku  
machine learning java python javascript scala data science Feb 10
Dataiku allows enterprises to create value with their data in a human-centered way while breaking down silos and encouraging collaboration. One of the most unique characteristics of our product, Data Science Studio (DSS), is the breadth of its scope and the fact that it caters both to technical and non-technical users. Through DSS, we aim to empower people through data and democratize data science.

We are looking for a talented software developer interested in AI and machine learning to join us at Dataiku to work on the very core of our world-renowned platform used by 350+ organizations and thousands of data scientists every day. As a software engineer, you will build a cutting-edge product that has a real impact on our customers. You will focus on Dataiku DSS’ machine learning and statistics capabilities, from building algorithms to better use ML models to developing the required visualization interfaces that allow users to make the most of their models. 

What we do

Dataiku DSS is an on-premises or SaaS platform that connects together many data science technologies. We work with Pandas, Spark, scikit-learn, Keras, TensorFlow, Kubernetes, and many more. Basically, our technological stack is made up of the latest and greatest technologies from the big data and machine learning landscape. 

What you will be doing

Your role will be to add new features or improve existing ones to help our customers use predictive algorithms and put them into production with an intuitive and user-friendly interface, as well as APIs that let coders control and automate all those operations. You may also develop some other AI features (think NLP, time series, computer vision, labeling management, etc.) or collaborate with the AI Lab, our research department, to develop cutting edge POCs and experiments on a broad set of emerging machine learning topics. 

The platform itself is in Java, Python, and Scala for the backend, with JavaScript and Angular on the frontend.

You are the ideal recruit if:

  • You have some experience in software development.
  • You  are interested in machine learning and are not afraid of statistics.
  • You are customer-oriented — you want to understand how the product is used and solve actual customer problems.
  • You know that boosted trees are not only about silviculture.
  • You have firsthand experience (either professional or personal) building a real product.
  • You are humble and kind.
  • You don't hesitate to ask questions when you don't know, and you treat your colleagues with respect, kindness, and honesty. 
  • (Note : This is a Software Engineering job. We have separate Data Scientist positions open.)

Hiring process:

  • Initial call with the talent acquisition manager
  • On-site meeting (or video call) with a software developer or a team lead
  • Home test to show your skills
  • Final interviews with an engineering manager and a VP of engineering
  • An informal interview with a Dataiker to understand our culture

Dataiku’s culture is right for you if

  • You want to be able to define your own version of work-life balance - flexible is our go-to word,  it applies equally to remote work, vacations and parental benefits 
  • You need autonomy to thrive - we trust our people, give them space to do their best and stay away from artificial deadlines 
  • You enjoy spending time with your colleagues and learning from your peers - meet for Friday universities, annual offsites, virtual trivia nights and more   
  • You like feeling cared about - watch out for the magical Christmas box delivered at home and an unforgettable onboarding week
  • You care about giving back - it’s what our Ikig.AI program is all about: Dataikers are encouraged to work pro bono for one or several nonprofits of their choosing
To fulfill its mission, Dataiku is growing fast! In 2019, we achieved unicorn status, went from 200 to 400 people and opened new offices across the globe. Spanning from Sydney to Frankfurt, Denver to London, geography doesn’t stop Dataikers from working closely together and sharing experiences. Collaboration is key within our product and culture. We strive to create a sense of belonging and community while fostering diverse thinking by encouraging cross-team, cross-office interactions like our annual company offsite or Paris onboarding. Fly over to Twitter, LinkedIn, and Instagram to read stories about our culture, people, and success. 

Our practices are rooted in the idea that everyone should be treated with dignity, decency and fairness. Dataiku also believes that a diverse identity is a source of strength and allows us to optimize across the many dimensions that are needed for our success. Therefore, we are proud to be an equal opportunity employer. All employment practices are based on business needs, without regard to race, ethnicity, gender identity or expression, sexual orientation, religion, age, neurodiversity, disability status, citizenship, veteran status or any other aspect which makes an individual unique or protected by laws and regulations in the locations where we operate. This applies to all policies and procedures related to recruitment and hiring, compensation, benefits, performance, promotion and termination and all other conditions and terms of employment.
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Software engineer AI & Machine Learning - London
Dataiku  
machine learning java python javascript scala data science Feb 10
Dataiku allows enterprises to create value with their data in a human-centered way while breaking down silos and encouraging collaboration. One of the most unique characteristics of our product, Data Science Studio (DSS), is the breadth of its scope and the fact that it caters both to technical and non-technical users. Through DSS, we aim to empower people through data and democratize data science.

We are looking for a talented software developer interested in AI and machine learning to join us at Dataiku to work on the very core of our world-renowned platform used by 350+ organizations and thousands of data scientists every day. As a software engineer, you will build a cutting-edge product that has a real impact on our customers. You will focus on Dataiku DSS’ machine learning and statistics capabilities, from building algorithms to better use ML models to developing the required visualization interfaces that allow users to make the most of their models. 

What we do

Dataiku DSS is an on-premises or SaaS platform that connects together many data science technologies. We work with Pandas, Spark, scikit-learn, Keras, TensorFlow, Kubernetes, and many more. Basically, our technological stack is made up of the latest and greatest technologies from the big data and machine learning landscape. 

What you will be doing

Your role will be to add new features or improve existing ones to help our customers use predictive algorithms and put them into production with an intuitive and user-friendly interface, as well as APIs that let coders control and automate all those operations. You may also develop some other AI features (think NLP, time series, computer vision, labeling management, etc.) or collaborate with the AI Lab, our research department, to develop cutting edge POCs and experiments on a broad set of emerging machine learning topics. 

The platform itself is in Java, Python, and Scala for the backend, with JavaScript and Angular on the frontend.

You are the ideal recruit if:

  • You have some experience in software development.
  • You  are interested in machine learning and are not afraid of statistics.
  • You are customer-oriented — you want to understand how the product is used and solve actual customer problems.
  • You know that boosted trees are not only about silviculture.
  • You have firsthand experience (either professional or personal) building a real product.
  • You are humble and kind.
  • You don't hesitate to ask questions when you don't know, and you treat your colleagues with respect, kindness, and honesty. 
  • (Note : This is a Software Engineering job. We have separate Data Scientist positions open.)

Hiring process:

  • Initial call with the talent acquisition manager
  • On-site meeting (or video call) with a software developer or a team lead
  • Home test to show your skills
  • Final interviews with an engineering manager and a VP of engineering
  • An informal interview with a Dataiker to understand our culture

Dataiku’s culture is right for you if

  • You want to be able to define your own version of work-life balance - flexible is our go-to word,  it applies equally to remote work, vacations and parental benefits 
  • You need autonomy to thrive - we trust our people, give them space to do their best and stay away from artificial deadlines 
  • You enjoy spending time with your colleagues and learning from your peers - meet for Friday universities, annual offsites, virtual trivia nights and more   
  • You like feeling cared about - watch out for the magical Christmas box delivered at home and an unforgettable onboarding week
  • You care about giving back - it’s what our Ikig.AI program is all about: Dataikers are encouraged to work pro bono for one or several nonprofits of their choosing
To fulfill its mission, Dataiku is growing fast! In 2019, we achieved unicorn status, went from 200 to 400 people and opened new offices across the globe. Spanning from Sydney to Frankfurt, Denver to London, geography doesn’t stop Dataikers from working closely together and sharing experiences. Collaboration is key within our product and culture. We strive to create a sense of belonging and community while fostering diverse thinking by encouraging cross-team, cross-office interactions like our annual company offsite or Paris onboarding. Fly over to Twitter, LinkedIn, and Instagram to read stories about our culture, people, and success. 

Our practices are rooted in the idea that everyone should be treated with dignity, decency and fairness. Dataiku also believes that a diverse identity is a source of strength and allows us to optimize across the many dimensions that are needed for our success. Therefore, we are proud to be an equal opportunity employer. All employment practices are based on business needs, without regard to race, ethnicity, gender identity or expression, sexual orientation, religion, age, neurodiversity, disability status, citizenship, veteran status or any other aspect which makes an individual unique or protected by laws and regulations in the locations where we operate. This applies to all policies and procedures related to recruitment and hiring, compensation, benefits, performance, promotion and termination and all other conditions and terms of employment.
Share this job:
Software engineer AI & Machine Learning - Remote
Dataiku  
machine learning java python javascript scala data science Feb 10
Dataiku allows enterprises to create value with their data in a human-centered way while breaking down silos and encouraging collaboration. One of the most unique characteristics of our product, Data Science Studio (DSS), is the breadth of its scope and the fact that it caters both to technical and non-technical users. Through DSS, we aim to empower people through data and democratize data science.

We are looking for a talented software developer interested in AI and machine learning to join us at Dataiku to work on the very core of our world-renowned platform used by 350+ organizations and thousands of data scientists every day. As a software engineer, you will build a cutting-edge product that has a real impact on our customers. You will focus on Dataiku DSS’ machine learning and statistics capabilities, from building algorithms to better use ML models to developing the required visualization interfaces that allow users to make the most of their models. 

What we do

Dataiku DSS is an on-premises or SaaS platform that connects together many data science technologies. We work with Pandas, Spark, scikit-learn, Keras, TensorFlow, Kubernetes, and many more. Basically, our technological stack is made up of the latest and greatest technologies from the big data and machine learning landscape. 

What you will be doing

Your role will be to add new features or improve existing ones to help our customers use predictive algorithms and put them into production with an intuitive and user-friendly interface, as well as APIs that let coders control and automate all those operations. You may also develop some other AI features (think NLP, time series, computer vision, labeling management, etc.) or collaborate with the AI Lab, our research department, to develop cutting edge POCs and experiments on a broad set of emerging machine learning topics. 

The platform itself is in Java, Python, and Scala for the backend, with JavaScript and Angular on the frontend.

You are the ideal recruit if:

  • You have some experience in software development.
  • You  are interested in machine learning and are not afraid of statistics.
  • You are customer-oriented — you want to understand how the product is used and solve actual customer problems.
  • You know that boosted trees are not only about silviculture.
  • You have firsthand experience (either professional or personal) building a real product.
  • You are humble and kind.
  • You don't hesitate to ask questions when you don't know, and you treat your colleagues with respect, kindness, and honesty. 
  • (Note : This is a Software Engineering job. We have separate Data Scientist positions open.)

Hiring process:

  • Initial call with the talent acquisition manager
  • On-site meeting (or video call) with a software developer or a team lead
  • Home test to show your skills
  • Final interviews with an engineering manager and a VP of engineering
  • An informal interview with a Dataiker to understand our culture

Dataiku’s culture is right for you if

  • You want to be able to define your own version of work-life balance - flexible is our go-to word,  it applies equally to remote work, vacations and parental benefits 
  • You need autonomy to thrive - we trust our people, give them space to do their best and stay away from artificial deadlines 
  • You enjoy spending time with your colleagues and learning from your peers - meet for Friday universities, annual offsites, virtual trivia nights and more   
  • You like feeling cared about - watch out for the magical Christmas box delivered at home and an unforgettable onboarding week
  • You care about giving back - it’s what our Ikig.AI program is all about: Dataikers are encouraged to work pro bono for one or several nonprofits of their choosing
To fulfill its mission, Dataiku is growing fast! In 2019, we achieved unicorn status, went from 200 to 400 people and opened new offices across the globe. Spanning from Sydney to Frankfurt, Denver to London, geography doesn’t stop Dataikers from working closely together and sharing experiences. Collaboration is key within our product and culture. We strive to create a sense of belonging and community while fostering diverse thinking by encouraging cross-team, cross-office interactions like our annual company offsite or Paris onboarding. Fly over to Twitter, LinkedIn, and Instagram to read stories about our culture, people, and success. 

Our practices are rooted in the idea that everyone should be treated with dignity, decency and fairness. Dataiku also believes that a diverse identity is a source of strength and allows us to optimize across the many dimensions that are needed for our success. Therefore, we are proud to be an equal opportunity employer. All employment practices are based on business needs, without regard to race, ethnicity, gender identity or expression, sexual orientation, religion, age, neurodiversity, disability status, citizenship, veteran status or any other aspect which makes an individual unique or protected by laws and regulations in the locations where we operate. This applies to all policies and procedures related to recruitment and hiring, compensation, benefits, performance, promotion and termination and all other conditions and terms of employment.
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Senior Product Manager
 
senior manager product manager nlp backend Jan 31
Atlassian is continuing to hire with all interviewing and on-boarding done virtually due to COVID-19. All new and existing Atlassians will continue to work from home until it’s safe to return to our offices. When our offices re-open, we will provide the choice to work from home or return to work in an office unless a job requirement makes it necessary for a particular role to be performed at an Atlassian office.

Are you passionate about building scalable automation solutions to seek business-critical application challenges? If so, we want you to join our team!

Atlassian is looking for an experienced Sr. IT Product Manager to join its Intelligent Automation team. Our fast-moving team delivers a self-serve platform and managed solutions to address business problems & opportunities. We are always growing, learning, and adapting - in and out of the office. Our team is smart and direct; we ask difficult questions and challenge each other to constantly improve our work. We are driven but team-oriented.

We're dedicated to agile methodology. We know the importance of validating our assumptions about users and deploying various types of technologies to enable functional teams. Our bottom line is enabling the business & IT to consume quality integration assets with speed and agility - no matter what.

What you’ll be doing?
As the Senior Product Manager, you’ll work with the team to champion and manage the technology roadmap. Our team works with internal customers and stakeholders directly and will be looking for your strong product management and proactive leadership to help them achieve their goals.
Define and execute the roadmap for Intelligent Automation teams and work with Delivery and Team leads.
Work with a myriad of different technology experts in areas like NLP, nocode/lowcode, Integration and business process automations (eg. Workato, NLP, Camunda, RPA) to solve real-world business problems faced by internal teams.
Articulate and educate on business value, technical and architectural concepts to a variety of audiences, including business users, developers, architects, IT operations professionals, and senior IT management
Partner with Business Process owners, Engineering, and designers for delivery.

More about you
On your first day, we'll expect you to have:
*Minimum 8 years of product management experience with a focus on platform
*Experience in leading / prioritizing product roadmaps and effective partner engagement
*Partner closely with other Product Management leaders to build roadmap for the team.
*Experience working with cross-functional and cross-geo teams to build product roadmap from initial idea to launch including product limitations into a roadmap
*Excellent communication skills: you've got extensive experience collaborating with executives, Engineers, Product Managers, and Designers to build great experiences

Nice to have, but not mandatory:
*Experience in some/combination of the following markets: Robotic Process Automation (RPA), Business Process Automation (BPM), Low-Code / No-Code Tools, Backend Integration, NLP, AI, Chatbots
*Solid understanding of the changing nature of the citizen developer experience
*Strong functional design experience.
*Proven data-driven decision-making skills and agility to solve business challenges, handle competing priorities, and maintaining an attention to detail
*Good understanding of modern enterprise software technologies and solutions skills that involve such technologies.

More about our benefits

Whether you work in an office or a distributed team, Atlassian is highly collaborative and yes, fun! To support you at work (and play) we offer some fantastic perks: ample time off to relax and recharge, flexible working options, five paid volunteer days a year for your favourite cause, an annual allowance to support your learning & growth, unique ShipIt days, a company paid trip after five years and lots more.

More about Atlassian

Creating software that empowers everyone from small startups to the who’s who of tech is why we’re here. We build tools like Jira, Confluence, Bitbucket, and Trello to help teams across the world become more nimble, creative, and aligned—collaboration is the heart of every product we dream of at Atlassian. From Amsterdam and Austin, to Sydney and San Francisco, we’re looking for people who want to write the future and who believe that we can accomplish so much more together than apart. At Atlassian, we’re committed to an environment where everyone has the autonomy and freedom to thrive, as well as the support of like-minded colleagues who are motivated by a common goal to: Unleash the potential of every team.

Additional Information

We believe that the unique contributions of all Atlassians is the driver of our success. To make sure that our products and culture continue to incorporate everyone's perspectives and experience we never discriminate on the basis of race, religion, national origin, gender identity or expression, sexual orientation, age, or marital, veteran, or disability status.

All your information will be kept confidential according to EEO guidelines.

Learn more about Atlassian’s culture, interviewing flow, and hiring process by checking out our Candidate Resource Hub.
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Principal Engineer, Intelligent Automation
 
nlp finance Jan 27
Atlassian is continuing to hire with all interviewing and on-boarding done virtually due to COVID-19. All new and existing Atlassians will continue to work from home until it’s safe to return to our offices. When our offices re-open, we will provide the choice to work from home or return to work in an office unless a job requirement makes it necessary for a particular role to be performed at an Atlassian office.

Come join Atlassian as a Principal Engineer to lead and support architecture activities across teams providing Intelligent Automation Solutions.

As a Principal Engineer, you will drive the vision and architecture of myriad of technologies for digital transformation (RPA, BPM, Low Code/No code, NLP, ML, AI).

Our fast paced team delivers self-serve and managed platform solutions to address business problems & opportunities. We are also pioneers for incubating new technologies within IT. We are always growing, learning, and adapting, in and out of the office. Our team is smart and direct; we ask difficult questions and challenge each other to constantly improve our work. We are driven but team oriented. We're dedicated to agile methodology. We know the importance of validating our assumptions about users and deploying various types of technologies to enable functional teams. Our bottom line is enabling the business & IT to consume quality integration assets with speed and agility - no matter what!

What you’ll be doing?

·      Defining and driving the overall platform's strategic vision and architecture, such as platform roadmap, service roadmap, and technology selection
·      Support business and technology innovation that drives the organization's top and bottom lines
·      Engage key business stakeholders and IT Senior Leaders to facilitate both strategy and innovation planning
·      Own the Business Capability Map and models, Architecture, and influence solution architecture
·      Collaborate with IT’s Strategic Planning group to influence investment roadmaps
·      Work with other Enterprise Architects and key organisational stakeholders to define a strategic plan for leveraging integrated architecture as part of the enterprise architecture
·      Participate in Architecture development, including business architecture, information architecture, application portfolio and technical architecture
·      Seek ways to apply new technology, and reuse existing technology for, business processes. Research and provide information on technical trends and competitors' practices relevant to Intelligent Automations.

More about you

·      Bachelor's degree in business, information systems or related field, or equivalent and extensive related project experience;
·      12-15 years of business or IT experience with direct responsibility for strategy formulation and/or translation, business analytics, and program management
·      Management or leadership experience in one or more of the following areas: Enterprise and/or Solutions Architecture, Digital Transformation, Business Process Management
·      Experience leading large-scale transformation projects and implementations!
·      Experience with designing and developing digital solutions architectures that support business requirements
·      Knowledge of existing, new, and emerging technologies and being able to apply them to new business designs and business models

Nice to have, but not mandatory:

·      Knowledge and understanding of different types of business and operating models (existing, new, emerging, and hybrid)
·      In-depth experience with a number of business domains (e.g., Sales, Marketing, Finance, etc.) technology, and architecture
·      Strong analytical and conceptual skills and the ability to build original concepts and hypotheses for a variety of projects
·      Experience leading or influencing multi-disciplined, high-performance work teams
·      Exhibited skills in leading program management efforts involving the coordination of resources and goals across multiple related projects
·      Experience developing and supervising the delivery of efficient and effective solutions to diverse and complex business problems
·      Knowledge of finance, accounting, valuation, and metrics development
·      Experience with BPMN, AI/ML, NLP, Chatbots, RPA
·      Familiarity with Atlassian products

 
More about our team:

The Intelligent Automations team handles process automation across the entire Atlassian organization, which means taking a broad approach by demonstrating the combination of existing and new complementary technological capabilities to automate end to end business processes to help Atlassian scale. Presently our team is focused on the following areas:

·       Robotic Process Automation (RPA)
·       Integration Platform
·       Technology incubation

More about our benefits

Whether you work in an office or a distributed team, Atlassian is highly collaborative and yes, fun! To support you at work (and play) we offer some fantastic perks: ample time off to relax and recharge, flexible working options, five paid volunteer days a year for your favourite cause, an annual allowance to support your learning & growth, unique ShipIt days, a company paid trip after five years and lots more.

More about Atlassian

Creating software that empowers everyone from small startups to the who’s who of tech is why we’re here. We build tools like Jira, Confluence, Bitbucket, and Trello to help teams across the world become more nimble, creative, and aligned—collaboration is the heart of every product we dream of at Atlassian. From Amsterdam and Austin, to Sydney and San Francisco, we’re looking for people who want to write the future and who believe that we can accomplish so much more together than apart. At Atlassian, we’re committed to an environment where everyone has the autonomy and freedom to thrive, as well as the support of like-minded colleagues who are motivated by a common goal to: Unleash the potential of every team.

Additional Information

We believe that the unique contributions of all Atlassians is the driver of our success. To make sure that our products and culture continue to incorporate everyone's perspectives and experience we never discriminate on the basis of race, religion, national origin, gender identity or expression, sexual orientation, age, or marital, veteran, or disability status.

All your information will be kept confidential according to EEO guidelines.

Learn more about Atlassian’s culture, interviewing flow, and hiring process by checking out our Candidate Resource Hub.
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Senior Software Engineer, Intelligent Automation
 
senior java nlp saas aws testing Jan 21
Atlassian is continuing to hire with all interviewing and on-boarding done virtually due to COVID-19. All new and existing Atlassians will continue to work from home until it’s safe to return to our offices. When our offices re-open, every Atlassian will have the choice to work from an office or from home.

Are you passionate about building scalable automation solutions to tackle mission-critical application challenges? If so, we want you to join our team!

Atlassian is looking for a Senior Software Engineer to join our IT Intelligent Automation team. Our fast-paced team delivers self-serve platform solutions to address business problems & opportunities. We are always growing, learning, and adapting, in and out of the office. Our team is smart and direct; we ask difficult questions and constantly challenge each other to improve our work. We are driven but team-oriented. We're dedicated to agile methodology. We know the importance of validating our assumptions about users and deploying various types of technologies to enable functional teams. Our bottom line is enabling the business & IT to consume quality integration assets with speed and agility - no matter what!

In this role, you will:

·       Drive the overall platform's strategic vision and architecture, such as platform roadmap, service roadmap, and technology selection
·       Work with a myriad of different technologies (SaaS, Open source, custom builds, and hybrids of the preceding) to tackle real-world business problems faced by multiple teams
·       Build proofs of concept and reference applications to demonstrate technology in action
·       Work with multiple teams to assist them in coming up to speed and deploying the solutions
·       Build reusable assets and automation for SaaS platforms
·       Work with different technologies with which you may be completely unfamiliar regularly
·       Review, mentor, and guide other software engineers to produce reliable and high-quality code
·       Articulate and educate on business value, technical and architectural concepts to a variety of audiences, including business users, developers, architects, IT operations engineers, and senior IT management

On day one, we’ll expect you to have:

·       8+ years of professional software development experience
·       Strong Java programming skills
·       Experience with AWS infrastructure and/or Microservices
·       Experience working in Middleware products such as TIBCO, MuleSoft, IBM Message Broker, BPMN, Camunda, Workato, etc.
·       A voracious appetite for learning new things
·       Experience building, testing, deploying, and managing applications
·       Strong interpersonal and communication skills
·       Strong ability to speak to, as well as collaborate with, engineers, project managers, and business system analysts
·       Experience with building platforms and frameworks that are used by other developers
·       Experience translating partners needs into product features

It’s awesome, but not required if you have:

·       Experience with AI/ML, NLP, chatbots, etc
·       Experience with RPA
·       Familiarity with Atlassian products
·       A strong DevOps background
More about our team:

The Intelligent Automations team handles process automation across the entire Atlassian organisation, which means taking a broad approach by demonstrating the combination of existing and new complementary technological capabilities to automate end to end business processes to help Atlassian scale. Presently our team is focused on the following areas:

· Robotic Process Automation (RPA)
· Integration Platform
· Technology incubation

More about our benefits

Whether you work in an office or a distributed team, Atlassian is highly collaborative and yes, fun! To support you at work (and play) we offer some fantastic perks: ample time off to relax and recharge, flexible working options, five paid volunteer days a year for your favourite cause, an annual allowance to support your learning & growth, unique ShipIt days, a company paid trip after five years and lots more.

More about Atlassian

Creating software that empowers everyone from small startups to the who’s who of tech is why we’re here. We build tools like Jira, Confluence, Bitbucket, and Trello to help teams across the world become more nimble, creative, and aligned—collaboration is the heart of every product we dream of at Atlassian. From Amsterdam and Austin, to Sydney and San Francisco, we’re looking for people who want to write the future and who believe that we can accomplish so much more together than apart. At Atlassian, we’re committed to an environment where everyone has the autonomy and freedom to thrive, as well as the support of like-minded colleagues who are motivated by a common goal to: Unleash the potential of every team.

Additional Information

We believe that the unique contributions of all Atlassians is the driver of our success. To make sure that our products and culture continue to incorporate everyone's perspectives and experience we never discriminate on the basis of race, religion, national origin, gender identity or expression, sexual orientation, age, or marital, veteran, or disability status.

All your information will be kept confidential according to EEO guidelines.

Learn more about Atlassian’s culture, interviewing flow, and hiring process by checking out our Candidate Resource Hub.
Share this job:
Senior Data Scientist
Medium  
senior python data science machine learning nlp big data Nov 10 2020
Medium’s mission is to help people deepen their understanding of the world and discover ideas that matter. We are building a place where ideas are judged on the value they provide to readers, not the fleeting attention they can attract for advertisers. We are creating the best place for reading and writing on the internet—a place where today’s smartest writers, thinkers, experts, and storytellers can share big, interesting ideas.

We are looking for a Senior Data Scientist who will help us build a new future for the written word on the web, as part of a team that translates data into actionable insights. Broadly, Data Scientists at Medium focus on analysis — interpreting data, sharing insights, and developing models that improve the product. We work together to analyze patterns at a macro level, answering questions the rest of the company hasn’t thought to ask yet.

You’ll spend most of your time working on a product team: a group of engineers, designers, a product manager, and you, the Data Scientist, all working together in a small group to build new features. You’ll extract key data and findings, define metrics, evaluate A|B tests, identify opportunities based on the data, and share new insights that no one considered before. You’ll bring data to bear on a set of thorny questions at the intersection of tech and media, helping us grow our ecosystem of readers and writers and build a new economic model for written content.

On the day to day, you will

  • Be a strategic partner to diverse range of stakeholders in editorial, engineering, marketing and product management, generating data-driven insights, to influence the direction of our product roadmap and critical operating decisions
  • Partner with the organization to define our goals and the portfolio of metrics to measure performance against
  • Identify the level and cadence of information needed to operate key areas of the business and build dashboards and reports to drive decisions
  • Leverage a range of sophisticated ML techniques to uncover deeper insights about our our users and content  
  • Design and analyze experiments to answer key business questions.
  • Build data pipelines and models that enable incisive analyses and performant  data visualizations 
  • Provide mentorship and guidance to team members, identify and recommend best practices, help level up overall team capabilities
  • Be a champion for Data Science and evidence-based decision making throughout the organization, educating and advocating for its use 

You should have

  • 6+ years of experience doing quantitative analysis and ML at a consumer-facing technology company
  • Experience with stakeholder management; effectively driving shared priorities and persuading through storytelling with data
  • Strong python skills at running data analytics using pandas, jupyter notebook, and the python ecosystem
  • Experience writing and optimizing complex SQL queries on large data sets
  • Experience with data pipelining, from data preparation to analysis to deployment
  • Strong in inferential statistics, especially in an experimentation setting (hypothesis testing, power analysis, experimental design)
  • Skilled in building machine learning models including classification models, natural language processing, and training models on large data sets
  • Experience manipulating large data sets through SQL, Python

Nice to have

  • Experience leading others in a data / analytics function
  • Experience developing in Looker
  • Natural Language processing (NLP) with large data sets
  • Experience in big data technologies like Spark
  • Experience with production model deployment in cloud environments like AWS
  • Management consulting or similar internal strategy experience 
At Medium, we foster an inclusive, supportive, fun yet challenging team environment. We value having a team that is made up of a diverse set of backgrounds and respect the healthy expression of diverse opinions. We embrace experimentation and the examination of all kinds of ideas through reasoning and testing. Come join us as we continue to change the world of digital media. Medium is an equal opportunity employer.

Interested? We'd love to hear from you.

Please note that communication regarding your application, interviews, and job offers will only come from e-mail addresses ending in"@medium.com". Anything else is not a legitimate outreach.
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Data Scientist
Medium  
nlp big data testing Nov 10 2020
Medium’s mission is to help people deepen their understanding of the world and discover ideas that matter. We are building a place where ideas are judged on the value they provide to readers, not the fleeting attention they can attract for advertisers. We are creating the best place for reading and writing on the internet—a place where today’s smartest writers, thinkers, experts, and storytellers can share big, interesting ideas.

We are looking for a Data Scientist who will help us build a new future for the written word on the web, as part of a team that translates data into actionable insights. Broadly, Data Scientists at Medium focus on analysis — interpreting data, sharing insights, and developing models that improve the product. We work together to analyze patterns at a macro level, answering questions the rest of the company hasn’t thought to ask yet.

You’ll spend most of your time working on a product team: a group of engineers, designers, a product manager, and you, the Data Scientist, all working together in a small group to build new features. You’ll extract key data and findings, define metrics, evaluate A|B tests, identify opportunities based on the data, and share new insights that no one considered before. You’ll bring data to bear on a set of thorny questions at the intersection of tech and media, helping us grow our ecosystem of readers and writers and build a new economic model for written content.

On the day to day, you will

  • Partner with a diverse range of stakeholders in editorial, engineering, marketing and product management to extract actionable insight from our usage data
  • Be an organization-wide advocate for evidence-based decision-making and the use of data
  • Build dashboards and reports that provide visibility into how people use our products. 
  • Build statistical models that help us understand the ins and outs of how users experience our products   
  • Design and analyze experiments to answer key business questions.
  • Build data pipelines and models that enable incisive analyses and performant  data visualizations 

You should have

  • 2+ years of experience doing quantitative analysis at a consumer-facing technology company
  • Experience with data pipelining, from data preparation to analysis to deployment
  • Experience writing and optimizing complex SQL queries on large data sets
  • Knowledge of inferential statistics, especially in an experimentation setting (hypothesis testing, power analysis, experimental design)
  • Experience communicating the results of analyses with product and leadership teams to influence the strategy of the product
  • Experience manipulating large data sets through SQL or Python

Nice to have

  • Development experience in Python
  • Experience developing in Looker
  • Natural Language processing (NLP) with large data sets
  • Experience in big data technologies like Spark
At Medium, we foster an inclusive, supportive, fun yet challenging team environment. We value having a team that is made up of a diverse set of backgrounds and respect the healthy expression of diverse opinions. We embrace experimentation and the examination of all kinds of ideas through reasoning and testing. Come join us as we continue to change the world of digital media. Medium is an equal opportunity employer.

Interested? We'd love to hear from you.

Please note that communication regarding your application, interviews, and job offers will only come from e-mail addresses ending in"@medium.com". Anything else is not a legitimate outreach.
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Senior Full Stack Developer
python react-js django aws mysql full stack Nov 01 2020

About us
We're a startup specializing in applying Natural Language Processing and Artificial Intelligence to solve problems across a number of exciting industries. Our Document Intelligence Platform helps companies make smarter, faster & more informed decisions by by classifying, extracting, enriching, and integrating, their most useful data. As a team we value diversity, creativity, new ideas, and a willingness to learn.
We are looking for a Full Stack Developer / Web Engineer with a passion and history for building performant and beautiful web applications (inside and out) to help lead development of our flagship cloud-based web app.

What we’re looking for
Here are a few things that we need you to be good at: Python 3.5

  • Django
  • MySQL, Postgres
  • React
  • Flask, Celery, Nginx, SQLAlchemy, Redis
  • Continuous Integration and Continuous Deployment CI/CD Modern CSS, pre-processors, polyfills, etc
  • Modern JavaScript and related tooling ES6, Webpack, Babel, etc) RESTful API design and implementation, RPC, Pub/Sub Test-driven Development TDD, PyTest, Sentry
  • Code organization, performance, and security best practices
  • Micro-service architecture, design, and communication GIT, Git-flow, Github/Bitbucket
  • Agile Workflow - Clubhouse or JIRA
  • Confluence

And these will score you some bonus points if you have some knowledge and experience of them:

  • Node.js, Elixir, Ruby/Rails, and other languages/web app frameworks NoSQL, MongoDB, Cassandra, RDBMS
  • VueJS, Angular and other JS Frameworks
  • Amazon Web Services EC2, S3, RDS, Aurora, Lambda, Batch, Cognito, Secrets Manager, etc) and Microsoft Azure Azure Active Directory / Identity Management, Azure Storage, Azure API Management, Azure Kubernetes Service, Azure Functions / Serverless, etc.)
  • Familiarity with Docker Containerization), Infrastructure Orchestration / Automation (e.g. Terraform)
  • Object Oriented CSS/Bootstrap/SMACSS
  • Python application scaling issues and best practices
  • Some experience with Machine/Deep Learning, AI, etc.
  • Agile development experience

In addition, we’ll likely get along really well if you:

  • Constantly reflect on code reuse, readability, shareability, and modularization (humor is not the only thing you like DRY
  • Feel mildly ashamed when QA finds a hole you didn't think of (i.e. you test your own features before considering them "done”)
  • Are a developer at heart, but a pragmatist in practice
  • Care little about the buzz in AI and web app development and are more driven by finding new solutions to challenging problems

What you’ll be doing
We are using natural language processing, machine learning, and AI to solve some of the most interesting and challenging problems facing the enterprise world today. As a full-stack developer / web engineer, you'll be working directly alongside our Director of Engineering, Director of AI, CTO, and CEO to envision, architect, and deliver the future of our product. You'll have the chance to integrate state-of-the-art machine learning/AI into tools meant for high volume everyday use. Our engineering team is only a handful of people, but it is the heart of everything we do, so you’d be coming in near the ground floor with a chance to contribute to our flagship products.

Still here? Good.
If this sounds like a good fit for you, we want to chat. Please include links to whatever credentials or sample work you prefer to share (e.g. résumé, portfolio, GitHub, LinkedIn, etc).

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Director of Applied Research / Data Science
Scribd  
data science executive python cs machine learning nlp Oct 28 2020
At Scribd (pronounced “scribbed”), we believe reading is more important than ever. Join our cast of characters as we build the world’s largest and most fascinating digital library: giving subscribers access to a growing collection of ebooks, audiobooks, magazines, documents, Scribd Originals and more. In addition to works from major publishers and top authors. Our community includes over 1.4M subscribers in nearly every country worldwide.

Our data science team is digesting terabytes of data, making sense of it, and delivering key insights that drive both business and product decisions. The team works on every aspect of the business so you’ll touch everything we do and have an impact on all aspects of Scribd. Reporting to the Head of Data Science, you will assume leadership of a team that currently includes two Data Scientists. We anticipate that this team will grow to as many as seven over the next year or so. Initially, the role will include individual contributor work, but that should diminish as the team expands.

At present one Data Scientist focuses on machine learning and the other on payments and fraud. However, we are open to your suggestions for organizing the team and work moving forward. The team is involved in a lot of activities, including product science, A/B test design, exploratory analyses, modeling and more.  You'll oversee the team, providing technical support, managing performance, training/coaching, assigning work, monitoring progress, and more. 

The team is expected to:
* Provide decision support to the whole company by doing analysis, building predictive models, creating reports - doing whatever it takes - to support data needs across the organization.
* Becoming domain experts in all aspects of the Scribd business, product, and data model; use this expertise to provide advice to all teams in the usage of our data.
* Solve ambiguous problems.
* Collaborate with stakeholders to determine the highest-impact opportunities.

You have:

  • A bachelor's degree or higher in math, stats, CS, or physics, or equivalent experience.8 to 10 years of progressive experience, including a couple of years at the management level.
  • Solid professional experience in data science, and familiarity with at one or more of the following; NLP, recommendation systems, neural networks, predictive modeling.
  • Experience writing in SQL. Experience with a scripting language like Python, R, etc.
  • Knowledge of A/B testing.
  • Experience designing metrics such as success metrics.
  • Willingness to roll up your sleeves to achieve goals.
  • The ability to adapt as our company grows and evolves.

Ideally you have:

  • Different companies/business models.
  • Experimental design or deep learning.
  • Building a small team.
  • Working remotely from your supervisor.
At Scribd, we value people above everything else. We're building a diverse workplace and an inclusive culture to give more people the chance to change the way the world reads. Scribd is proud to be an equal opportunity employer and considers all qualified applicants for employment without regard to race, color, religion, age, sex, sexual orientation, gender, gender identity, national origin, disability, veteran status or any other legally protected characteristic. We encourage people of all backgrounds to apply because we believe that a diverse set of perspectives and experiences create a foundation for the best ideas. Come join us in building something meaningful.
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NLP Engineer
nlp python machine learning Oct 22 2020
BlackSky, a geospatial intelligence solutions provider based out of Herndon, VA, is looking for an NLP Engineer to join their growing team! Providing an easy, affordable way to access high-quality satellite imaging and insights, they enable various organizations from different fields to task, collect, and transform data from earth observation, global sensor networks, mobile devices, and social media. In this role, you will be supporting the development, operation, and capability evolution of Spectra AI, BlackSky’s cutting edge AI/ML Platform. You will use Natural Language Processing and related statistical methods to solve customer specific problems and adapt state of the art NLP research into production models.The ideal candidate has AI model development, operations, and test experience; familiarity with national security use cases; and success working in an agile development environment. Additionally, the ideal candidate has demonstrated the ability to manage their own efforts over a broad scope of work as an independent contributor.

Clearance Requirement: The successful candidate must hold an Active TS/SCI security clearance for which the US Government requires US Citizenship.

Location: This role is remote.

Does This Describe You?

  • You have at least 5+ years of hands-on experience as a machine learning engineer or data scientist with at least 2 years focused on Natural Language Processing
  • You have familiarity with open source python NLP and machine learning libraries such as NumPy, SpaCy, scikit-learn, Pandas, Keras, and Tensorflow.
  • You have a working knowledge of a wide range of machine learning concepts including statistics, Bayesian probability, supervised and unsupervised learning, descriptive data analysis, and deep learning
  • Bonus points if you have exposure to Probabilistic Programming, including open source libraries such as PyMC3, PyMC4, Edward, Stan, and/or TensorFlow Probability
If you are interested in learning more about this company or any Startups/Small Businesses in the area, please contact us and check us out here!! 
We are an equal opportunity employer and value diversity at our company. We do not discriminate on the basis of race, religion, color, national origin, gender, sexual orientation, age, marital status, veteran status, or disability status

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Senior Automation Engineer
 
senior java nlp testing dot net cs Oct 16 2020
Atlassian is continuing to hire with all interviewing and on-boarding done virtually due to COVID-19. All new and existing Atlassians will continue to work from home until it’s safe to return to our offices. When our offices re-open, every Atlassian will have the choice to work from an office or from home.

Atlassian is a fast-paced, rapidly growing company and our Intelligent Automations team focuses on automations to enable all of Atlassian to scale.

The Senior Automation Engineer role within Intelligent Automation team is responsible for all aspects of designing and deploying business Process Automations across various modules in order to meet requirements that are unique to Atlassian's business model. While evaluating new technological solutions you'll also make recommendations to improve existing systems and tools. This includes developing appropriate documentation for architectural, design, technical, implementation and test activities.

More about You:

You are a self-starter, motivated, data-driven, passionate about quality and efficiency in your work. You’ll work closely with process owners to prepare technical documentations(Design, Architecture) and educated domain experts and deliver robust & scalable business process automations.

On your first day, we'll expect you to have:
 
·    7+ years of experience in programming (including scripting/coding), SQL and relational databases, and application development.
·     Solid Programming skills using Java J2EE or C# or .NET, Design Patterns, SOAP/ REST Web Services, Spring Framework and Python.
·      Experience in developing, testing and deployment of RPA bots using UiPath and/or strong BPMN experience.
·    Strong experience in the Application Integration Architecture, Solution Design, and Development using SOA/EAI solutions.

Preferred Qualification:

·    Experience in AWS(SQS and Kinesis).
·   Hands on experience in one of the following: Mulesoft, Camunda and Workato.
·   Experience with Process Analysis, Solution Design, and Implementation, support junior developers implementing best practices, Business and Technical requirements, Problem-Solving, and System(s).
·  Experience in maintaining Dev/Test/Stage environments including performing common maintenance activities, setting up alerting, logging and upgrading assets as needed.
· Strong scripting experience, NLP modeling.
· BE/BTECH/BSc Degree or equivalent experience.

More about our team
The Intelligent Automations team handles process automation across the entire Atlassian organisation, which means taking a broad approach by demonstrating the combination of existing and new complementary technological capabilities to automate end to end business processes to help Atlassian scale. Presently our team is focused on the following areas:

· Robotic Process Automation (RPA)
· Integration Platform
· Technology incubation

More about our benefits

Whether you work in an office or a distributed team, Atlassian is highly collaborative and yes, fun! To support you at work (and play) we offer some fantastic perks: ample time off to relax and recharge, flexible working options, five paid volunteer days a year for your favourite cause, an annual allowance to support your learning & growth, unique ShipIt days, a company paid trip after five years and lots more.

More about Atlassian

Creating software that empowers everyone from small startups to the who’s who of tech is why we’re here. We build tools like Jira, Confluence, Bitbucket, and Trello to help teams across the world become more nimble, creative, and aligned—collaboration is the heart of every product we dream of at Atlassian. From Amsterdam and Austin, to Sydney and San Francisco, we’re looking for people who want to write the future and who believe that we can accomplish so much more together than apart. At Atlassian, we’re committed to an environment where everyone has the autonomy and freedom to thrive, as well as the support of like-minded colleagues who are motivated by a common goal to: Unleash the potential of every team.

Additional Information

We believe that the unique contributions of all Atlassians is the driver of our success. To make sure that our products and culture continue to incorporate everyone's perspectives and experience we never discriminate on the basis of race, religion, national origin, gender identity or expression, sexual orientation, age, or marital, veteran, or disability status.

All your information will be kept confidential according to EEO guidelines.

Learn more about Atlassian’s culture, interviewing flow, and hiring process by checking out our Candidate Resource Hub.
Share this job:
Automation Engineer
 
nlp testing dot net cs Oct 16 2020
Atlassian is continuing to hire with all interviewing and on-boarding done virtually due to COVID-19. All new and existing Atlassians will continue to work from home until it’s safe to return to our offices. When our offices re-open, every Atlassian will have the choice to work from an office or from home.

Atlassian is a fast-paced, rapidly growing company and our Intelligent Automations team focuses on automations to enable all of Atlassian to scale.

The Automation Engineer role within Intelligent Automation team is responsible for all aspects of developing and deploying Process Automations across various modules in order to meet requirements that are unique to Atlassian's business model. This includes developing appropriate documentation for development, technical, implementation and test activities.

More about You:

You are a self-starter, motivated, data-driven, passionate about quality and efficiency in your work. You’ll work closely with Solution Architects to prepare Development and Test Stories and support and maintain various environments and deliver robust & scalable business process automations.

On your first day, we'll expect you to have:
 
·    4+ years of experience in programming (including scripting/coding), SQL and relational databases, and application development
·     Solid Programming skills using J2EE or C# or .NET, Design Patterns, SOAP/ REST Web Services, Spring Framework and Python
·      Experience in developing, testing and deployment of RPA bots using UiPath and/or strong BPMN experience.

Preferred Qualification:

·    Experience in AWS(SQS and Kinesis)
·   Hands on experience in one of the following: Mulesoft, Camunda and Workato
·   Experience with Process Analysis, Solution Design, and Implementation, support junior developers implementing best practices, Business and Technical requirements, Problem-Solving, and System(s)
·  Experience in maintaining Dev/Test/Stage environments including performing common maintenance activities, setting up alerting, logging and upgrading assets as needed.
· Strong scripting experience, NLP modeling
· BE/BTECH/BSc Degree or equivalent experience

More about our team
The Intelligent Automations team handles process automation across the entire Atlassian organisation, which means taking a broad approach by demonstrating the combination of existing and new complementary technological capabilities to automate end to end business processes to help Atlassian scale. Presently our team is focused on the following areas:

· Robotic Process Automation (RPA)
· Integration Platform
· Technology incubation


More about our benefits

Whether you work in an office or a distributed team, Atlassian is highly collaborative and yes, fun! To support you at work (and play) we offer some fantastic perks: ample time off to relax and recharge, flexible working options, five paid volunteer days a year for your favourite cause, an annual allowance to support your learning & growth, unique ShipIt days, a company paid trip after five years and lots more.

More about Atlassian

Creating software that empowers everyone from small startups to the who’s who of tech is why we’re here. We build tools like Jira, Confluence, Bitbucket, and Trello to help teams across the world become more nimble, creative, and aligned—collaboration is the heart of every product we dream of at Atlassian. From Amsterdam and Austin, to Sydney and San Francisco, we’re looking for people who want to write the future and who believe that we can accomplish so much more together than apart. At Atlassian, we’re committed to an environment where everyone has the autonomy and freedom to thrive, as well as the support of like-minded colleagues who are motivated by a common goal to: Unleash the potential of every team.

Additional Information

We believe that the unique contributions of all Atlassians is the driver of our success. To make sure that our products and culture continue to incorporate everyone's perspectives and experience we never discriminate on the basis of race, religion, national origin, gender identity or expression, sexual orientation, age, or marital, veteran, or disability status.

All your information will be kept confidential according to EEO guidelines.

Learn more about Atlassian’s culture, interviewing flow, and hiring process by checking out our Candidate Resource Hub.
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Engineering Lead, Full Stack
full stack docker cloud aws azure frontend Oct 08 2020
At Respondent, our mission is to Make Research Inclusive. Our marketplace empowers entire organizations by connecting researchers with verified business professionals so they can conduct the kind of research interviews that yield invaluable results. With these new insights, high-quality decision making is scaled across our customer’s organization and innovation flourishes.  
 
B2B companies like IBM, Stripe, Atlassian, Twilio, Microsoft, and many more choose to leverage Respondent to conduct their research interviews and make smarter business decisions.  
 
We are a small (but quickly growing), fully remote tech startup. Working as a distributed team allows us to hire the best talent regardless of location. We look forward to learning more about you and how you might fit into our thriving community of initiative-takers and diverse thinkers.

What you'll do

  • Build scalable backend and frontend applications to support the growing needs of the business
  • Work with both SQL and NoSQL databases and caching technologies like Redis
  • Scale our infrastructure and introduce technologies like Docker
  • Build complex matching algorithms
  • Manage projects and collaborate with key stakeholders
  • Improve and scale our front and backend applications
  • Take full ownership and responsibility for building, shipping, and maintaining core features
  • Act as Engineering Lead in squads that work on initiatives: review technical specifications, make architectural decisions, approve the introduction of new technologies, and define performance requirements 
  • Work across teams to understand dependencies and impacts on other services 
  • Code and solutions reviews
  • Assist with testing if needed
  • Helps translate work to User Stories
  • Ensure developers have a clear understanding of the goals
  • Ensure developers are on track to meet deadlines
  • Manage development resource needs throughout projects
  • Assist with testing
  • Conduct research to validate
  • Own development deadlines

Who you are

  • A seasoned engineer with deep experience developing and supporting production environments
  • Production experience with Docker (AWS/Azure/Google Cloud)
  • Very experienced with Node.js/typescript applications - most of our stack
  • Very experienced with Vue.js and angularjs
  • Excellent technical communication skills, the ability to navigate complex technical concepts and collaborate effectively with fellow engineers
  • A passion for taking ownership of your work and building a world class product
  • An excitement for full stack development across multiple technologies and support of your code
  • A high level of intellectual curiosity and a talent for troubleshooting bugs anywhere in the stack 

  • Bonus
  • Experience with Graph Databases (We use Neo4j)
  • Experience with Elastic search
  • Experience with Natural Language Processing, Machine Learning
  • Experience with managed infrastructure in AWS (Or any cloud provider)


We are looking for someone who matches our level of joy for the work we do, brings something new to the team, and elevates our game. Our core values are very important to us and we hope they resonate with you, too. You can read more about them here!

Benefits
Working at Respondent is a unique experience. You will be part of a remote, diverse team. We care deeply about creating a cohesive, tight-knit culture that gets results. That’s why we offer our employees the following:

- Work remotely from anywhere in a continental U.S. Time Zone (we are not able to accommodate continuous travel e.g. digital nomadism, remote year, etc.)
- A full office set up, including a MacBook Pro, desk, second screen, ergonomic chair, and wireless mouse & keyboard
- Health insurance for U.S based employees with premiums covered at 99% for individuals and 50% for dependents (non U.S. employees receive a healthcare stipend)
- Short term disability covered at 100% for all U.S based employees
- Dental and vision insurance offered at group rates to lower the cost for U.S based employees
- Four weeks of flexible paid vacation per year (need a bit more for religious or country holidays--no problem!)
- 12 paid holidays per year
- Stock options
- 401k (no matching) Only U.S based employees can participate
- Parental leave - 12 weeks fully paid with an additional optional 4 weeks unpaid
- Company retreats for teammates to get to know one another in person (recent locations include New Orleans, San Antonio, and Wickenburg)!

Respondent is an equal opportunity employer
We understand it takes a diverse team of highly intelligent, passionate, curious, and creative people to solve the challenges involved in Respondent's long term success. Our dynamic team members have incredible perspectives to share, just as we know you do, and we take great pride in being an equal opportunity workplace and encourage candidates from underrepresented backgrounds to apply.
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Backend Engineer
python backend javascript machine learning nlp big data Oct 03 2020

The TrustYou Guest Feedback Platform is used by more than 50,000 hotels worldwide to consolidate and analyze guest feedback. Within one tool, our clients get an overview of all reviews from Booking.com, Google, TripAdvisor, and are able to drill down into insights extracted from the text via TrustYou’s NLP capabilities. Our product also has real-time communication features, allowing guests to message the hotel reception while they’re at the hotel.

We are now looking for developers that will help us build our Team Productivity (TX) product. TX is a new product to help Hotel Staff communicate with each other seamlessly, accomplish daily tasks, and handle ad hoc guest requests. The product helps hotels deliver great guest experiences and more efficiently manage internal team communication in team chat rooms and 1:1 communication.

TX ecosystem will consist of a mobile application for hotel staff (ex: housekeepers and valet) to use to communicate and complete tasks, a web application for hotel staff (ex: front desk, and general manager) to message their staff and track all task statuses, a web application that allows hotel admins to track aggregate metrics for hotel efficiency and operational excellence.

What challenges await you?

  • Ship data-intensive APIs used by TrustYou partners to enable them in creating awesome experiences for their hotels.
  • Take responsibility for planning and designing software within a small team.
  • Apply cutting-edge Python 3 asynchronous frameworks.
  • Design database schemata and optimize queries.

What do we expect from you?

  • Solid understanding of Python, preferably Python 3.
  • Solid understanding of relational database systems, preferably PostgreSQL.
  • Good understanding of a unit testing framework, preferably pytest.
  • Experience in developing scalable data-intensive Web APIs.
  • Good understanding of industry-level API designs and practices, e.g. REST, RPC, JSON API.
  • Willingness to work with an asynchronous Python framework, such as Tornado, aiohttp, or FastAPI.
  • Fluent in English.

Contract duration.

  • Mid October - Dec 31 (Possibly through Jan 31)

TrustYou has engineering excellence in its DNA. Our employees are experts in big data, machine learning, natural language processing, interactive JavaScript applications, and web technologies. Our tech stack is varied and modern!

TrustYou is an equal opportunity employer - We celebrate diversity and we are committed to creating an inclusive environment for all employees. Different makes us better.

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Sr. Technical Lead Engineer
RAIN  
python cloud aws azure testing api Sep 14 2020

Who We Are: RAIN is a digital consultancy who is the preeminent leader in Voice and Conversational AI. We help clients navigate voice technology. We combine strategy, technology, and creativity to drive growth for our clients and use data-driven insight to design and implement voice ecosystems to help leverage a shifting technology landscape into a competitive edge. We’re guided by the belief that technology is, by definition, an extension of humanity, and that great ideas come from a desire to enhance the lives of real people.

At RAIN, we want to work with people of different backgrounds who come from different paths in life. We want individuals who can bring diverse perspectives and experiences to our culture and company. We believe that transparency builds trust, so we default to disclosure in our communications. We believe in a safe, welcoming, and inclusive environment.

Restless & Ready. These are the two attributes that mark the talent thriving at RAIN. We look for people who don’t fit the traditional mold, with skill sets you don’t often see in agencies and consultancies. Said differently, we’re always keen to add more unicorns to the stable. We look for people motivated by big ideas and determined enough to make it a reality.

If this sounds like you and you love technology, read on…

About the Role: We are looking for a Sr. Technical Lead Engineer within our team to provide valuable leadership in and outside of projects. They not only help guide and direct the work efforts on projects but can help shape the direction of our department, have a major influence on our profitability and company direction in meaningful ways.

We are looking for a highly passionate and hands-on Sr Technical Lead to work with our remote team. You will report directly into RAIN’s Director of Technology and collaborate with company leadership on development decisions for our clients. You will serve as a key member of the leadership team to set and execute high-level engineering strategy. This position requires exceptional programming ability, strong engineering management experience with a track record of leading engineers and the ability to make smart technical decisions in a fast-paced environment.

The candidate should be a transformative, innovative leader who is a proven catalyst for change. They should also be astoundingly exceptional when talking to clients and making them feel comfortable.

Who You Are: A Sr Technical Lead Engineer who, as a project lead:

  • Can work with RAIN’s strategy, UX/VX, and creative teams; interact with clients, exploring and advising technological possibilities, discovering solutions that fit their goals.
  • Can architect solutions, based on customer specific requirements and use cases, and own their implementation by taking ownership and ensuring the solutions are deployed and fit for purpose.
  • Specialize in voice assistants and be extremely knowledgeable about voice technology and provide passion towards creating an integrated solution to become the primary UI for voice-enabled applications.
  • Is reflective about the things that they do, evaluating their successes and failures when approaching problems with intellectual honesty.
  • Understands that there is a spectrum of strengths and weaknesses (they are aware of their own strengths and weaknesses) and can build project plans and code which plays to their own strengths whenever possible.
  • Thinks in terms of “context” when applying theory. They understand that there is no “Right Way” to build software, and that the only way to build good software is by adapting theory to fit the needs of the client, codebase, team, tools, and organization.
  • Is aware of how their organization and their clients' work, what their values are, and what is both important and not important for success. When a ball is dropped within the team, they will do what they can to pick it up. The phrase “this is not my job” is never, ever said in those situations.
  • Can break a project down into logical streams of work like milestones or sprints and is familiar with the merits and drawbacks of waterfall and agile development (both Kanban and SCRUM).

A Sr Technical Lead Engineer who, as an individual contributor:

  • Completes hands-on development work and remove roadblocks as part of the client engagements
  • Can speak to examples of solutions (both single pieces of code and systems) they have both under, and over designed, and the pros and cons of each.
  • Writes clean, structured code with change and reuse in mind. Is obsessed with simplicity but loves complex problems.
  • Discovers and implement new technologies that yield competitive advantage
  • Understands that everything in our field involves tradeoff, and will look for what that is for design patterns, libraries, frameworks, and processes.
  • Understands that their job is to provide solutions to problems, not write code. Because of that, they will always think of what they are doing in terms of how much value it brings to their organization vs how much effort they are putting in.
  • Will take a step back and question when systems fail or are harder than expected, interrogating what is breaking down and will evaluate the cost of fixing root problems, and either fix them directly, or put things in motion so they will be fixed eventually.

What You’ll Bring: A Sr Technical Lead Engineer is someone who:

  • Has at least 5 years as a lead developer in a team setting, with at least 12 years of development experience overall
  • Experience with NodeJS and Python necessary, but has experience across the full stack
  • Bachelor’s degree (in Computer Science or Engineering preferred)
  • Familiarity with Natural Language Processing, at least in terms of available Cloud APIs (Ie: Amazon Lex, Amazon Alexa APIs, Google's Text to Speech, etc)
  • Experience with containerized deployment and development environments across AWS and GCP with some Azure understanding
  • Understanding how concepts like SLAs and contracts within software development teams work
  • Understand emerging web development models and major trends within the software development community
  • Experience with high scalability projects involving cloud-based infrastructure design and implementation
  • Successful track record of developing quality software products and shipping production ready software
  • Good understanding of REST-ful API design patterns
  • Understanding of data models and an understanding for how data should be modeled for performance
  • Experience writing SQL queries for SQL Server or another Relational Database
  • Design, develop and implement unit and scenario testing for existing code base and for new functionality under development
  • Has mentored junior software developers on design patterns, development best practices and DevOps trade-offs
  • Experience with Scrum/Agile development methodologies
  • Understanding of architecture patterns such as Domain Driven Design or MVC architecture
  • Excellent use of both version control softwares such as GIT and patterns and practices around development workflow and branching strategy patterns
  • Performance and Security minded
  • Must have strong communication, analytical, and problem-solving skills
  • Demonstrated ability to influence technical and non-technical audiences including those at the senior leadership level
  • Able to meet deadlines, define timetables, balance multiple priorities, and manage parallel projects to completion in a test-driven collaborative and iterative programming environment
  • Ability to develop product user stories and estimate development costs

How You Will Be Successful: In order for someone in this role to be successful, they must be someone who is both a self starter and self aware, equally capable technically as with working in teams. They must be comfortable with ambiguity and know when to lean in and find a direction to go. While not every senior developer desires to be a leader, the soft skills, knowledge of trends in software development (their pros and cons) and design patterns are just as important as their hard skills in development. Most importantly, you must someone who balances well knowing which moments require them total control and guide and direct a stream of work and when to ask questions and find avenues to learn what is necessary to get the job done. You will be surrounded by an amazing team.

How We'll Define Success in This Role: Directly, you will be measured by your ability to design systems that meet the client needs, while delivering them on time and budget. Doing so allows us to win more work with our clients, more success in our field and grow our teams. You directly influence the quality of the code you touch and the projects you are on. Indirectly, you influence the profitability and output of the company by bringing to the table solutions to both the technical and human or process components of an engineering team.

Our office is located in the Flatiron District in NYC with remote team members across the country. Currently, we all are working remotely and will be flexible for the future.

What We Offer: We genuinely care about our employees’ happiness and engagement.

  • Comprehensive Benefits Package: Health, Dental, Vision, and Health Savings Account (HSA).
  • Generous Paid Time Off that increases with tenure and seniority.
  • Mental Health/Wellness perks. Including 2 RAIN Check Days- for those days when you just need to take a rain check from work, we get it.
  • Volunteer Days.
  • 401k plan with employer contribution.
  • Short/Long Term Disability.
  • Fully stocked kitchen (when in the office).
  • Commuter subsidy.
  • Challenging problems to solve and an awesome team to collaborate with every single day.
  • Work culture focused on innovation and creation of lasting value for our clients and employees.
  • Salary will be evaluated commensurate with experience and location. This role will be eligible for a year-end discretionary incentive award.

Note to Recruiters and Placement Agencies: We do not accept unsolicited agency resumes.

RAIN is an Equal Opportunity Employer and is committed to fair and equitable hiring practices. All hiring decisions at RAIN are based on strategic business needs, job requirements, and individual qualifications. All candidates are considered without regard to race, color, religion, gender, sexuality, national origin, age, disability, genetics, or any other protected status.

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Software Engineer
python javascript html css machine learning testing Sep 08 2020
​Thresher, a successful startup built on machine learning and natural language processing solutions​, is looking for a Software Engineer to join their team! Their product enables data scientists to quickly and transparently label data to train machine learning and other models​. In this role, you will participate in the full software development life cycle including design, implementation, testing, maintenance, and support.​ The ideal candidate will have expertise designing and authoring well-structured and testable code. You will be proficient with Python, unit testing, and integration and functional testing. You will also be familiar with Django, Flask, PostgreSQL, or similar technologies, along with HTML, Javascript, CSS, and 
front-end development framework. 
This role is fully remote.


Does This Describe You?

  • You have at least 4 years of software engineering experience, ideally with Python
  • You are familiar with developing for a cloud environment
  • You are able to convey complex topics concisely and clearly, and are able and willing to learn new things.
  • A BS in Computer Science, Engineering, Mathematics, or related is preferred,​ but not required 
  • You are interested in working on complex problems with a highly collaborative team at a fast-paced startup!
If you are interested in learning more about this company or any Startups/Small Businesses in the area, please contact us and check us out here!! 
We are an equal opportunity employer and value diversity at our company. We do not discriminate on the basis of race, religion, color, national origin, gender, sexual orientation, age, marital status, veteran status, or disability status

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Data Scientist
Auth0  
python data science machine learning nlp docker aws Aug 18 2020
Auth0 is a unicorn that just closed a $120M Series F round of funding, with total capital raised to date of $330M and valuation of nearly $2B. We are growing rapidly and looking for exceptional new team members to add to our exceptional talent pool - and who will help take us to the next level of success. One team, one score. 

Our vision is to provide people with secure access to any application in one click or less. And our promise is to make identity work for everyone—whether you’re a developer looking to innovate, or a security professional looking to mitigate. We are looking for curious, excited, boundary-pushing team members. So, if you’re a big thinker who is nimble and adaptable, Auth0 may be an ideal place for you to shine.

The Data Scientist will help build, scale and maintain the entire data science platform. The ideal candidate will have a deep technical understanding, hands-on experience in building Machine Learning models coming up with valuable insights, and promoting a data-driven culture across the organization. They would not hesitate to wrangle data, understand the business objectives and have a good understanding of the entire data stack.

This position plays a key role in data initiatives, analytics projects, and influencing key stakeholders with critical business insights. You should be passionate for continuous learning, experimenting, applying and contributing towards cutting edge open source Data Science technologies.

Responsibilities:

  • Use Python and the vast array of AI/ML libraries to analyze data and build statistical models to solve specific business problems.
  • Improve upon existing methodologies by identifying new data sources, testing model enhancements, and fine-tuning model parameters.
  • Collaborate with researchers, software developers, and business leaders to define product requirements and provide analytical support.
  • Directly contribute to the design and development of automated selection systems.
  • Track the performance of and maintain models once they are deployed into production.
  • Communicate verbally and in writing to business customers and leadership team with various levels of technical knowledge, educating them about our systems, as well as sharing insights and recommendations.
  • This role will focus specifically on initiatives for the Growth Marketing team. This may include work on projects such as Market Basket Analysis, Recommendation Engines, Lead Scoring, Lead Segmentation/Clustering, Optimization of Advertisement Spending, User Path Modeling, etc.

Skills and Abilities:

  • At least 3 years of relevant work experienceAbility to write, analyze, and debug SQL queries.
  • Exceptional Problem-solving and analytical skills.
  • Fluent in implementing logistic regression, random forest, XGBoost, bayesian and ARIMA in Python/R
  • Familiarity or experience with A/B testing and associated frameworks
  • Familiarity with Sentiment Analysis (NLP) and LSTM AI modelsExperience in full AI/ML life-cycle from model development, training, deployment, testing, refining and iterating.
  • Experience with or willingness to learn tools such as Tableau, Apache SuperSet, Looker or similar BI tools.
  • Knowledge of AWS Redshift, Snowflake or similar databasesFamiliarity with tools such as Airflow and Docker are a plus

Basic Qualifications:

  • Bachelor's degree in Statistics, Applied Math, Operations Research, Engineering, Computer Science, or a related quantitative field.
  • Proficient with data analysis and modeling software such as Spark, R, Python etc.
  • Proficient with using scripting language such as Python and data manipulation/analysis libraries such as Scikit-learn and Pandas.
  • Experienced in using a wide array of Machine Learning models to solve complex business problems.
  • Experienced in handling large data sets using SQL and databases in a business environment.
  • Excellent verbal and written communication.
  • Strong troubleshooting and problem-solving skills.
  • Thrive in a fast-paced, innovative environment.

Preferred Qualifications:

  • Graduated with a Master's degree or PhD in Statistics, Applied Math, Operations Research, Engineering, Computer Science, or a related quantitative field.
  • 2+ years’ experience as a Data Scientist.
  • Fluency in Python (or the ability to pick it up quickly)· Superior verbal and written communication skills with the ability to effectively advocate technical solutions to scientists, engineering teams, and business audiences.
  • Experienced in writing academic-styled papers for presenting both the methodologies used and results for data science projects.
  • Demonstrable track record of dealing well with ambiguity, ability to self-motivate, prioritizing needs, and delivering results in a dynamic environment.
  • Combination of deep technical skills and business savvy to interface with all levels and disciplines within our and our customer’s organizations.

Preferred Locations:

  • #US
Auth0 safeguards more than 4.5 billion login transactions each month and its top priorities are availability and security.

We like to think that we are helping make the internet safer. Our team is spread across more than 35 countries and we are proud to continually be recognized as a great place to work. Culture is critical to us, and we are transparent about our vision and principles

Auth0 is an Equal Employment Opportunity employer. Auth0 conducts all employment-related activities without regard to race, religion, color, national origin, age, sex, marital status, sexual orientation, disability, citizenship status, genetics, or status as a Vietnam-era special disabled and other covered veteran status, or any other characteristic protected by law. Auth0 participates in E-Verify and will confirm work authorization for candidates residing in the United States.
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Applied Scientist - Machine Learning
machine learning python c cs computer vision nlp Jul 19 2020
Company Description
Hyperscience is a technology company blazing a new path in enterprise automation with a reimagined approach to building and powering processes. The Hyperscience Platform is the world's first Software-Defined, Input-to-Outcome Automation platform used by top public companies and government organizations around the world to build and run mission-critical processes with ease and speed.

Hyperscience helps enterprises quickly build and roll out new business processes with built-in automations, reduce manual errors, increase high- and low-skilled employee productivity, and eliminate the need for costly transformation. Hyperscience’s Intelligent Document Processing solution has been implemented at some of the world's leading financial services, insurance, healthcare and government organizations, including TD Ameritrade, QBE Insurance Group Limited and Voya Financial, helping them lower costs, reduce error rates by 67% and increase employee capacity by 10x.

Since its founding in 2014, Hyperscience has grown to more than 140 employees with offices in New York City, Sofia, Bulgaria, and London, UK, and has consistently been recognized as one of the best places to work, with a collaborative and innovative culture and best-in-class benefits.

Job Description
We are focused on building the world’s first Software-Defined, Input-to-Outcome platform by understanding documents, extracting structured and unstructured data, and automating business processes end-to-end - and we’re looking for amazing people to join us. 

Machine Learning (ML) sits at the core of our efforts to automate the future work. We turn ML lab experiments into enterprise-ready AI solutions to solve complex machine perception and natural language understanding problems.

This is an opportunity to work on the full lifecycle of an AI solution - you will research cutting-edge techniques (Computer Vision, Natural Language Processing, Meta Learning, Online Learning), implement them in a fast-growth AI startup environment, and ensure thеy are integrated in a reliable and scalable way to bring real value to customers.

Responsibilities

  • Following advancements in AI/ML research and applying them to create technologies for automating business processes like data entry.
  • Bringing algorithms and models research into practice; helping integrate the state of the art into Hyperscience’s suite of products.
  • End-to-end ownership of ML models, from collecting training data to deploying in production.
  • Responsible for the quality and ongoing evaluation of the ML models.
  • Working closely with the application teams to successfully integrate models into our product.
  • Collaborate with other engineers to build common tools for accelerating ML research internally.

Qualifications

  • 5 years relevant processional experience
  • Solid understanding of Math and CS fundamentals
  • Strong analytical skills
  • Deep knowledge of modern ML/DL technologies and proven experience applying them to real-world problems
  • Experience in Computer Vision or NLP is a plus.
  • Able to perform applied research projects and bring them to production.
  • Strong experience with one or more general purpose languages (Java, C/C++, Python, etc)
  • Demonstrated ability to write high-quality code is an advantage
  • Team player with strong communication skills

Benefits & Perks

  • Top notch healthcare for you and your family
  • 30 days of paid leave annually to help nurture work-life symbiosis
  • A 100% 401(k) match for up to 6% of your annual salary
  • Stock Options
  • Paid gym membership
  • Pre-tax transportation and commuter benefits
  • 6 month parental leave (or double salary to pay for your partner's unpaid leave)
  • Free travel for any person accompanying a breastfeeding mother and her baby on a business trip
  • A child care and education stipend up to $3,000 per month, per child, under the age of 21 for a maximum of $6,000 per month total
  • Daily catered lunch, snacks, and drinks
  • Budget to attend conferences, train, and further your education
  • Relocation assistance
We are an equal opportunity employer. We welcome people of different backgrounds, experiences, abilities and perspectives. Qualified applicants will receive consideration for employment without regard to race, color, religion, sex, national origin, sexual orientation, gender identity, disability or protected veteran status.
For Sofia/UK roles: All job applications will be treated and processed with strict confidentiality and in full compliance with the GDPR provisions. We are an equal opportunity employer and value diversity at our company. We do not discriminate on the basis of race, religion, color, national origin, gender, sexual orientation, age, marital status, veteran status, or disability status.
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Senior Engineer, Full Stack
full stack senior docker cloud aws azure Jun 26 2020
At Respondent, we believe in-depth research interviews are the oxygen for intelligent innovation. Our marketplace empowers entire organizations by connecting researchers with verified business professionals so they can conduct the kind of research interviews that yield invaluable results. With these new insights, high-quality decision making is scaled across our customer’s organization and innovation flourishes.  

B2B companies like IBM, Oracle, Atlassian, Twilio, Microsoft, and many more choose to leverage Respondent to conduct their research interviews and make smarter business decisions.  

We are a small (but quickly growing), fully remote tech startup. Working as a distributed team allows us to hire the best talent regardless of location. We look forward to learning more about you and how you might fit into our thriving community of initiative-takers and diverse thinkers.


What you'll do

  • Build scalable backend and frontend applications to support the growing needs of the business
  • Work with both SQL and NoSQL databases and caching technologies like Redis
  • Scale our infrastructure and introduce technologies like Docker
  • Build complex matching algorithms
  • Manage projects and collaborate with key stakeholders
  • Improve and scale our front and backend applications
  • Take full ownership and responsibility for building, shipping, and maintaining core fe

Who you are

  • A seasoned senior engineer with deep experience developing and supporting production environments
  • Production experience with Docker (AWS/Azure/Google Cloud)
  • Very experienced with Node.js/typescript applications - most of our stack
  • Very experienced with Vue.js and angularjs
  • Excellent technical communication skills, the ability to navigate complex technical concepts and collaborate effectively with fellow engineers
  • A passion for taking ownership of your work and building a world class product
  • An excitement for full stack development across multiple technologies and support of your code
  • A high level of intellectual curiosity and a talent for troubleshooting bugs anywhere in the stack 

  • Bonus
  • Experience with Graph Databases (We use Neo4j)
  • Experience with Elastic search
  • Experience with Natural Language Processing, Machine Learning
  • Experience with managed infrastructure in AWS (Or any cloud provider)
We are looking for someone who matches our level of joy for the work we do, brings something new to the team, and elevates our game. Our core values are very important to us and we hope they resonate with you, too. You can read more about them here!

Benefits
Working at Respondent is a unique experience. You will be part of a remote, diverse team. We care deeply about creating a cohesive, tight-knit culture that gets results. That’s why we offer our employees the following:

- Work remotely from anywhere in a continental U.S. Time Zone (we are not able to accommodate continuous travel e.g. digital nomadism, remote year, etc.)
- A full office set up, including a MacBook Pro, desk, second screen, ergonomic chair, and wireless mouse & keyboard
- Health insurance for U.S based employees with premiums covered at 99% for individuals and 50% for dependents (non U.S. employees receive a healthcare stipend)
- Short term disability covered at 100% for all U.S based employees
- Dental and vision insurance offered at group rates to lower the cost for U.S based employees
- Four weeks of flexible paid vacation per year (need a bit more for religious or country holidays--no problem!)
- 12 paid holidays per year
- Stock options
- 401k (no matching) Only U.S based employees can participate
- Company retreats for teammates to get to know one another in person (recent locations include New Orleans, San Antonio, and Wickenburg)!

Respondent is an equal opportunity employer
We understand it takes a diverse team of highly intelligent, passionate, curious, and creative people to solve the challenges involved in Respondent's long term success. Our dynamic team members have incredible perspectives to share, just as we know you do, and we take great pride in being an equal opportunity workplace and encourage candidates from under represented backgrounds to apply.
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VP of Machine Learning
machine learning computer vision healthcare nlp Jun 10 2020
Company Description
Hyperscience is a technology company blazing a new path in enterprise automation with a reimagined approach to building and powering processes. The Hyperscience Platform is the world's first Software-Defined, Input-to-Outcome Automation platform used by top public companies and government organizations around the world to build and run mission-critical processes with ease and speed.

Hyperscience helps enterprises quickly build and roll out new business processes with built-in automations, reduce manual errors, increase high- and low-skilled employee productivity, and eliminate the need for costly transformation. Hyperscience’s Intelligent Document Processing solution has been implemented at some of the world's leading financial services, insurance, healthcare and government organizations, including TD Ameritrade, QBE Insurance Group Limited and Voya Financial, helping them lower costs, reduce error rates by 67% and increase employee capacity by 10x.

Since its founding in 2014, Hyperscience has grown to more than 140 employees with offices in New York City, Sofia, Bulgaria, and London, UK, and has consistently been recognized as one of the best places to work, with a collaborative and innovative culture and best-in-class benefits.

Job Description
We are focused on building the world’s first Software-Defined, Input-to-Outcome platform by understanding documents, extracting structured and unstructured data, and automating business processes end-to-end - and we’re looking for amazing people to join us. 

Machine Learning (ML) sits at the core of our efforts to automate the future work. We turn ML lab experiments into enterprise-ready AI solutions to solve complex machine perception and natural language understanding problems.

This is an opportunity to work on the full lifecycle of an AI solution - you will research cutting-edge techniques (Computer Vision, Natural Language Processing, Meta Learning, Online Learning), implement them in a fast-growth AI startup environment, and ensure thеy are integrated in a reliable and scalable way to bring real value to customers.

The VP of Machine Learning (“ML”) will build, grow, and lead the cutting-edge research of Hyperscience’s Machine Learning team. You will lead the team in research, experimentation, and implementation of new ML models and approaches which are mission-critical for Hyperscience. Your team will also own the foundation for data, infrastructure, and tooling that accelerates ML experimentation at Hyperscience. As a machine learning thought leader and executive partner, you will identify key strategic opportunities and product improvements, helping to solidify Hyperscience’s position as the leader in automation.

Responsibilities

  • Shape, grow and lead an exceptional team that delivers novel, strategic ML solutions.
  • Lead ML research and development of tooling in deep learning, computer vision, natural language processing, and data engineering, using state-of-the-art approaches.
  • Leverage your ML industry expertise to introduce new technologies and processes, and drive innovation within Hyperscience’s product offerings.

Qualifications

  • Deep technical background in applied machine learning, including deep learning, computer vision, natural language processing, and data engineering.
  • An eye for product and relentlessly putting the customer at the heart of your strategic decisions.
  • Previous experience in building and leading ML teams in creating end-to-end machine learning pipelines, including algorithms and tooling.
  • Nice-to-have: Published researcher with a strong track record of academic experience in ML and AI.

Benefits & Perks

  • Top notch healthcare for you and your family
  • 30 days of paid leave annually to help nurture work-life symbiosis
  • A 100% 401(k) match for up to 6% of your annual salary
  • Stock Options
  • Paid gym membership
  • Pre-tax transportation and commuter benefits
  • 6 month parental leave (or double salary to pay for your partner's unpaid leave)
  • Free travel for any person accompanying a breastfeeding mother and her baby on a business trip
  • A child care and education stipend up to $3,000 per month, per child, under the age of 21 for a maximum of $6,000 per month total
  • Daily catered lunch, snacks, and drinks
  • Budget to attend conferences, train, and further your education
  • Relocation assistance
We are an equal opportunity employer. We welcome people of different backgrounds, experiences, abilities and perspectives. Qualified applicants will receive consideration for employment without regard to race, color, religion, sex, national origin, sexual orientation, gender identity, disability or protected veteran status. For Sofia:All job applications will be treated and processed with strict confidentiality and in full compliance with the GDPR provisions. We are an equal opportunity employer and value diversity at our company. We do not discriminate on the basis of race, religion, color, national origin, gender, sexual orientation, age, marital status, veteran status, or disability status.
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Director of Machine Learning Research
machine learning executive computer vision healthcare nlp Jun 10 2020
Company Description
Hyperscience is a technology company blazing a new path in enterprise automation with a reimagined approach to building and powering processes. The Hyperscience Platform is the world's first Software-Defined, Input-to-Outcome Automation platform used by top public companies and government organizations around the world to build and run mission-critical processes with ease and speed.

Hyperscience helps enterprises quickly build and roll out new business processes with built-in automations, reduce manual errors, increase high- and low-skilled employee productivity, and eliminate the need for costly transformation. Hyperscience’s Intelligent Document Processing solution has been implemented at some of the world's leading financial services, insurance, healthcare and government organizations, including TD Ameritrade, QBE Insurance Group Limited and Voya Financial, helping them lower costs, reduce error rates by 67% and increase employee capacity by 10x.

Since its founding in 2014, Hyperscience has grown to more than 140 employees with offices in New York City, Sofia, Bulgaria, and London, UK, and has consistently been recognized as one of the best places to work, with a collaborative and innovative culture and best-in-class benefits.

Job Description
We are focused on building the world’s first Software-Defined, Input-to-Outcome platform by understanding documents, extracting structured and unstructured data, and automating business processes end-to-end - and we’re looking for amazing people to join us. 

Machine Learning (ML) sits at the core of our efforts to automate the future work. We turn ML lab experiments into enterprise-ready AI solutions to solve complex machine perception and natural language understanding problems.

This is an opportunity to work on the full lifecycle of an AI solution - you will research cutting-edge techniques (Computer Vision, Natural Language Processing, Meta Learning, Online Learning), implement them in a fast-growth AI startup environment, and ensure thеy are integrated in a reliable and scalable way to bring real value to customers.

The Director of Machine Learning Research will lead a cutting-edge ML research team at Hyperscience. You will drive and lead mission-critical research and experimentation into new ML models and approaches. As a machine learning thought leader with a strong academic background in ML and AI, you will identify key strategic opportunities and areas for focused research, solidifying Hyperscience’s position as the leader in automation.

Responsibilities

  • Lead research into the latest ML academic literature in order to develop innovative new ML models and approaches, in areas such as on-premise learning and natural language processing.
  • Lead a team that continuously adopts, experiments with and implements the latest ML research in order to develop new ML models and approaches.
  • Leverage your ML industry expertise to introduce new technologies and processes to Hyperscience’s product offerings.

Qualifications

  • Published researcher with a strong track record of academic experience in ML and AI.
  • Deep technical background in applied machine learning, including deep learning, computer vision, natural language processing, and data engineering.
  • Industry experience productizing ML insights
  • Nice-to-have: Previous experience in building and leading ML teams in creating end-to-end machine learning pipelines, including algorithms and tooling.

Benefits & Perks

  • Top notch healthcare for you and your family
  • 30 days of paid leave annually to help nurture work-life symbiosis
  • A 100% 401(k) match for up to 6% of your annual salary
  • Stock Options
  • Paid gym membership
  • Pre-tax transportation and commuter benefits
  • 6 month parental leave (or double salary to pay for your partner's unpaid leave)
  • Free travel for any person accompanying a breastfeeding mother and her baby on a business trip
  • A child care and education stipend up to $3,000 per month, per child, under the age of 21 for a maximum of $6,000 per month total
  • Daily catered lunch, snacks, and drinks
  • Budget to attend conferences, train, and further your education
  • Relocation assistance
We are an equal opportunity employer. We welcome people of different backgrounds, experiences, abilities and perspectives. Qualified applicants will receive consideration for employment without regard to race, color, religion, sex, national origin, sexual orientation, gender identity, disability or protected veteran status. For Sofia:All job applications will be treated and processed with strict confidentiality and in full compliance with the GDPR provisions. We are an equal opportunity employer and value diversity at our company. We do not discriminate on the basis of race, religion, color, national origin, gender, sexual orientation, age, marital status, veteran status, or disability status.
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Research Engineer
python c cs computer vision nlp healthcare May 11 2020
Company Description
At Hyperscience we develop and deliver intelligent solutions to automate manual document processing for global financial services, insurance, healthcare, and government organizations. Founded in 2014, our solution extracts handwritten, cursive and printed typed text at better-than-human levels of accuracy and automation that get better over time. By streamlining operations and reducing the costs associated with data entry, we enable some of the world’s largest companies to improve customer service and drive new business opportunities.

With more than $50 million raised to date, we’re growing quickly and looking for individuals to join our team and make a difference in our organization and for our customers.

Job Description
Machine Learning (ML) is at the core of what we do. We turn ML lab experiments into enterprise-ready AI solutions - and we’re looking for continuous learners to work on these efforts. We are focusing on understanding document images and extracting structured and unstructured data. This naturally leads us to solve a number of problems in machine perception and natural language understanding. This is an opportunity to work on the full lifecycle of an ML solution - you will research cutting edge techniques (Computer Vision, Natural Language Processing, Meta Learning), implement them in a fast-growth AI startup environment, and ensure thеy are integrated in a reliable and scalable way to bring real value to customers. Furthermore, you’ll provide opportunities for these models to be automatically retrained and get smarter over time.

Responsibilities

  • Following advancements in AI/ML research and applying them to create technologies for automating business processes like data entry.
  • Bringing algorithms and models research into practice; helping integrate the state of the art into Hyperscience’s suite of products.
  • End-to-end ownership of ML models, from collecting training data to deploying in production.
  • Responsible for the quality and ongoing evaluation of the ML models.
  • Working closely with the application teams to successfully integrate models into our product.
  • Collaborate with other engineers to build common tools for accelerating ML research internally.

Qualifications

  • 5 years relevant professional experience
  • Solid understanding of Math and CS fundamentals
  • Strong analytical skills
  • Deep knowledge of modern ML/DL technologies and proven experience applying them to real-world problems
  • Experience in Computer Vision or NLP is a plus.
  • Able to perform applied research projects and bring them to production.
  • Strong experience with one or more general purpose languages (Java, C/C++, Python, etc)
  • Demonstrated ability to write high-quality code is an advantage
  • Team player with strong communication skills

Benefits & Perks

  • Top notch healthcare for you and your family
  • 30 days of paid leave annually to help nurture work-life symbiosis
  • A 100% 401(k) match for up to 6% of your annual salary
  • Stock Options
  • Paid gym membership
  • Pre-tax transportation and commuter benefits
  • 6 month parental leave (or double salary to pay for your partner's unpaid leave)
  • Free travel for any person accompanying a breastfeeding mother and her baby on a business trip
  • A child care and education stipend up to $3,000 per month, per child, under the age of 21 for a maximum of $6,000 per month total
  • Daily catered lunch, snacks, and drinks
  • Budget to attend conferences, train, and further your education
  • Relocation assistance
We are an equal opportunity employer. We welcome people of different backgrounds, experiences, abilities and perspectives. Qualified applicants will receive consideration for employment without regard to race, color, religion, sex, national origin, sexual orientation, gender identity, disability or protected veteran status. For Sofia:All job applications will be treated and processed with strict confidentiality and in full compliance with the GDPR provisions. We are an equal opportunity employer and value diversity at our company. We do not discriminate on the basis of race, religion, color, national origin, gender, sexual orientation, age, marital status, veteran status, or disability status.
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Data Scientist
Auth0  
python data science machine learning nlp docker aws Apr 17 2020
Auth0 is a pre-IPO unicorn. We are growing rapidly and looking for exceptional new team members to add to our teams and will help take us to the next level. One team, one score. 

We never compromise on identity. You should never compromise yours either. We want you to bring your whole self to Auth0. If you’re passionate, practice radical transparency to build trust and respect, and thrive when you’re collaborating, experimenting and learning – this may be your ideal work environment.  We are looking for team members that want to help us build upon what we have accomplished so far and make it better every day.  N+1 > N.

The Data Scientist will help build, scale and maintain the entire data science platform. The ideal candidate will have a deep technical understanding, hands-on experience in building Machine Learning models coming up with valuable insights, and promoting a data-driven culture across the organization. They would not hesitate to wrangle data, understand the business objectives and have a good understanding of the entire data stack.This position plays a key role in data initiatives, analytics projects, and influencing key stakeholders with critical business insights. You should be passionate for continuous learning, experimenting, applying and contributing towards cutting edge open source Data Science technologies.

RESPONSIBILITIES

  • Use Python and the vast array of AI/ML libraries to analyze data and build statistical models to solve specific business problems.
  • Improve upon existing methodologies by developing new data sources, testing model enhancements, and fine-tuning model parameters.
  • Collaborate with researchers, software developers, and business leaders to define product requirements and provide analytical support.
  • Directly contribute to the design and development of automated selection systems.
  • Build customer-facing reporting tools to provide insights and metrics which track system performance.
  • Communicate verbally and in writing to business customers and leadership team with various levels of technical knowledge, educating them about our systems, as well as sharing insights and recommendations.

BASIC QUALIFICATIONS

  • Bachelor's degree in Statistics, Applied Math, Operations Research, Engineering, Computer Science, or a related quantitative field.
  • Proficient with data analysis and modeling software such as Spark, R, Python etc.
  • Proficient with using scripting language such as Python and data manipulation/analysis libraries such as Scikit-learn and Pandas for analyzing and modeling data.
  • Experienced in using multiple data science methodologies to solve complex business problems.
  • Experienced in handling large data sets using SQL and databases in a business environment.
  • Excellent verbal and written communication.
  • Strong troubleshooting and problem-solving skills.
  • Thrive in a fast-paced, innovative environment.

PREFERRED QUALIFICATIONS

  • Graduated with a Master's degree or PhD in Statistics, Applied Math, Operations Research, Engineering, Computer Science, or a related quantitative field.
  • 2+ years’ experience as a Data Scientist.
  • Fluency in a scripting or computing language (e.g. Python)· Superior verbal and written communication skills with the ability to effectively advocate technical solutions to scientists, engineering teams, and business audiences.
  • Experienced in writing academic-styled papers for presenting both the methodologies used and results for data science projects.
  • Demonstrable track record of dealing well with ambiguity, ability to self-motivate, prioritizing needs, and delivering results in a dynamic environment.
  • Combination of deep technical skills and business savvy to interface with all levels and disciplines within our and our customer’s organizations.

SKILLS AND ABILITIES

  • At least 3 years of relevant work experienceAbility to write, analyze, and debug SQL queries.
  • Exceptional Problem-solving and analytical skills.
  • Fluent in implementing logistic regression, random forest, XGBoost, bayesian and ARIMA in Python/RFamiliarity or experience with A/B testing and associated frameworksFamiliarity with Sentiment Analysis (NLP) and LSTM AI modelsExperience in full AI/ML life-cycle from model development, training, deployment, testing, refining and iterating.
  • Experience with or willingness to learn tools such as Tableau, Apache SuperSet, Looker or similar BI tools.
  • Knowledge of AWS Redshift, Snowflake or similar databasesFamiliarity with tools such as Airflow and Docker are a plus

PREFERRED LOCATIONS

  • #AR; #US;
Auth0’s mission is to help developers innovate faster. Every company is becoming a software company and developers are at the center of this shift. They need better tools and building blocks so they can stay focused on innovating. One of these building blocks is identity: authentication and authorization. That’s what we do. Our platform handles 2.5B logins per month for thousands of customers around the world. From indie makers to Fortune 500 companies, we can handle any use case.

We like to think that we are helping make the internet safer.  We have raised $210M to date and are growing quickly. Our team is spread across more than 35 countries and we are proud to continually be recognized as a great place to work. Culture is critical to us, and we are transparent about our vision and principles

Join us on this journey to make developers more productive while making the internet safer!
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