Remote Natural Language Processing Jobs

Last Week

NLP Engineer
nlp python machine learning Oct 22
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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This Month

Senior Automation Engineer
 
senior java nlp testing dot net cs Oct 16
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.
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Automation Engineer
 
nlp testing dot net cs Oct 16
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
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

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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This Year

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

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
​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
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
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
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
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
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
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
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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Machine Learning Engineer or Data Scientist
python machine-learning nlp artificial-intelligence machine learning scala Feb 22

Builders and Fixers Wanted!

Company Description:  

Ephesoft is the leader in Context Driven Productivity solutions, helping organizations maximize productivity and fuel their journey towards the autonomous enterprise through contextual content acquisition, process enrichment and amplifying the value of enterprise data. The Ephesoft Semantik Platform turns flat data into context-rich information to fuel data scientists, business users and customers with meaningful data to automate and amplify their business processes. Thousands of customers worldwide employ Ephesoft’s platform to accelerate nearly any process and drive high value from their content. Ephesoft is headquartered in Irvine, Calif., with regional offices throughout the US, EMEA and Asia Pacific. To learn more, visit ephesoft.com.

Ready to invent the future? Ephesoft is immediately hiring a talented, driven Machine Learning Engineer or Data Scientist to play a key role in developing a high-profile AI platform in use by organizations around the world. The ideal candidate will have experience in developing scalable machine learning products for different contexts such as object detection, information retrieval, image recognition, and/or natural language processing.

In this role you will:

  • Develop and deliver CV and NLP systems to bring structure and understanding to unstructured documents.
  • Innovate by designing novel solutions to emerging and extant problems within the domain of  invoice processing.
  • Be part of a team of Data Scientists, Semantic Architects, and Software Developers responsible for developing AI, ML, and Cognitive Technologies while building a pipeline to continuously deliver new capabilities and value. 
  • Implement creative data-acquisition and labeling solutions that will form the foundations of new supervised ML models.
  • Communicate effectively with stakeholders to convey technical vision for the AI capabilities in our solutions. 

 You will bring to this role:

  • Love for solving problems and working in a small, agile environment.
  • Hunger for learning new skills and sharing your findings with others.
  • Solid understanding of good research principles and experimental design.
  • Passion for developing and improving CV/AI components--not just grabbing something off the shelf.
  • Excitement about developing state-of-the-art, ground-breaking technologies and owning them from imagination to production.

Qualifications:

  • 3+ years of experience developing and building AI/ML driven solutions
  • Development experience in at least one object-oriented programming language  (Java, Scala, C++) with preference given to Python experience
  • Demonstrated skills with ML, CV and NLP libraries/frameworks such as NLTK, spaCy, Scikit-Learn, OpenCV, Scikit-Image
  • Strong experience with deep learning libraries/frameworks like TensorFlow, PyTorch, or Keras
  • Proven background of designing and training machine learning models to solve real-world business problems

EEO Statement:

Ephesoft embraces diversity and equal opportunity. We are committed to building a team that represents a variety of backgrounds, perspectives, and skills. We believe the more inclusive we are, the better our company will be.

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Software Engineer, Backend
Fathom  
backend machine learning nlp testing healthcare Feb 12
We’re on a mission to understand and structure the world’s medical data, starting by making sense of the terabytes of clinician notes contained within the electronic health records of the world’s largest health systems.

We’re seeking exceptional Backend Engineers to work on data products that drive the core of our business--a backend expert able to unify data, and build systems that scale from both an operational and an organizational perspective.

Please note, this position has a minimum requirement of 3+ years of experience.  For earlier career candidates, we encourage you to apply to our SF and/or Toronto locations

As a Backend Engineer you will:

  • Develop data infrastructure to ingest, sanitize and normalize a broad range of medical data, such as electronics health records, journals, established medical ontologies, crowd-sourced labelling and other human inputs
  • Build performant and expressive interfaces to the data
  • Build infrastructure to help us not only scale up data ingest, but large-scale cloud-based machine learning

We’re looking for teammates who bring:

  • 3+ years of development experience in a company/production setting
  • Experience building data pipelines from disparate sources
  • Hands-on experience building and scaling up compute clusters
  • Excitement about learning how to build and support machine learning pipelines that scale not just computationally, but in ways that are flexible, iterative, and geared for collaboration
  • A solid understanding of databases and large-scale data processing frameworks like Hadoop or Spark.  You’ve not only worked with a variety of technologies, but know how to pick the right tool for the job
  • A unique combination of creative and analytic skills capable of designing a system capable of pulling together, training, and testing dozens of data sources under a unified ontology

Bonus points if you have experience with:

  • Developing systems to do or support machine learning, including experience working with NLP toolkits like Stanford CoreNLP, OpenNLP, and/or Python’s NLTK
  • Expertise with wrangling healthcare data and/or HIPAA
  • Experience with managing large-scale data labelling and acquisition, through tools such as through Amazon Turk or DeepDive

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VP, Data Science & Engineering
machine-learning hadoop data science c machine learning big data Feb 10

The Wikimedia Foundation is seeking an experienced executive to serve as Vice President of Data Science & Engineering for our Technology department. At the Wikimedia Foundation, we operate the world’s largest collaborative project: a top ten website, reaching a billion people globally every month, while incorporating the values of privacy, transparency and community that are so important to our users. 

Reporting to the Chief Technology Officer, the VP of Data Science & Engineering is a key member of the Foundation’s leadership team and an active participant in the strategic decision making framing the work of the technology department, the Wikimedia Foundation and the Wikimedia movement.

This role is responsible for planning and executing an integrated multi-year data science and engineering strategy spanning our work in artificial intelligence, machine learning, search, natural language processing and analytics. This strategy will interlock with and support the larger organization and movement strategy in service of our vision of enabling every human being to share freely in the sum of human knowledge.

Working closely with other Technology and Product teams, as well as our community of contributors and readers, you’ll lead a team of dedicated directors, engineering managers, software engineers, data engineers, and data scientists who are shaping the next generation of data usage, analysis and access across all Wikimedia projects.

Some examples of our teams work in the realm of data science and data engineering can be found on our blog, including deeper info on our work in improving edit workflows with machine learning, our use of Kafka and Hadoop or our analysis of analysis of people falling into the “Wikipedia rabbit hole”. As of late we have been thinking on how to best identify traffic anomalies that might indicate outages or, possibly, censorship.  

You are responsible for:

  • Leading the technical and engineering efforts of a global team of engineers, data scientists and managers focused on our efforts in productionizing artificial intelligence, data science, analytics, machine learning and natural language processing models as well as data operations. These efforts currently encompass three teams: Search Platform, Analytics and Scoring Platform (Machine Learning Engineering)
  • Working closely with our Research, Architecture, Security, Site Reliability and Platform teams to define our next generation of data architecture, search, machine learning and analytics infrastructure
  • Creating scalable engineering management processes and prioritization rubrics
  • Developing the strategy, plan, vision, and the cross-functional teams to create a holistic data strategy for Wikimedia Foundation taking into account our fundamental values of transparency, privacy, and collaboration and in collaboration with internal and external stakeholders and community members.
  • Ensure data is available, reliable, consistent, accessible, secure, and available in a timely manner for external and internal stakeholders and in accordance with our privacy policy.
  • Negotiating shared goals, roadmaps and dependencies with finance, product, legal and communication departments
  • Contributing to our culture by managing, coaching and developing our engineering and data teams
  • Illustrating your success in making your mark on the world by collaboratively measuring and adapting our data strategy within the technology department and the broader Foundation
  • Managing up to 5 direct reports with a total team size of 20

Skills and Experience:

  • Deep experience in leading data science, machine learning, search or data engineering teams that is able to separate the hype in the artificial intelligence space from the reality of delivering production ready data systems
  • 5+ years senior engineering leadership experience
  • Demonstrated ability to balance competing interests in a complex technical and social environment
  • Proven success at all stages of the engineering process and product lifecycle, leading to significant, measurable impact.
  • Previous hands-on experience in production big data and machine learning environments at scale
  • Experience building and supporting diverse, international and distributed teams
  • Outstanding oral and written English language communications

Qualities that are important to us:

  • You take a solutions-focused approach to challenging data and technical problems
  • A passion for people development, team culture and the management of ideas
  • You have a desire to show the world how data can be done while honoring the user’s right to privacy

Additionally, we’d love it if you have:

  • Experience with modern machine learning, search and natural language processing platforms
  • A track record of open source participation
  • Fluency or familiarity with languages in addition to English
  • Spent time having lived or worked outside your country of origin
  • Experience as a member of a volunteer community

The Wikimedia Foundation is... 

...the nonprofit organization that hosts and operates Wikipedia and the other Wikimedia free knowledge projects. Our vision is a world in which every single human can freely share in the sum of all knowledge. We believe that everyone has the potential to contribute something to our shared knowledge, and that everyone should be able to access that knowledge, free of interference. We host the Wikimedia projects, build software experiences for reading, contributing, and sharing Wikimedia content, support the volunteer communities and partners who make Wikimedia possible, and advocate for policies that enable Wikimedia and free knowledge to thrive. The Wikimedia Foundation is a charitable, not-for-profit organization that relies on donations. We receive financial support from millions of individuals around the world, with an average donation of about $15. We also receive donations through institutional grants and gifts. The Wikimedia Foundation is a United States 501(c)(3) tax-exempt organization with offices in San Francisco, California, USA.

The Wikimedia Foundation is an equal opportunity employer, and we encourage people with a diverse range of backgrounds to apply.

U.S. Benefits & Perks*

  • Fully paid medical, dental and vision coverage for employees and their eligible families (yes, fully paid premiums!)
  • The Wellness Program provides reimbursement for mind, body and soul activities such as fitness memberships, baby sitting, continuing education and much more
  • The 401(k) retirement plan offers matched contributions at 4% of annual salary
  • Flexible and generous time off - vacation, sick and volunteer days, plus 19 paid holidays - including the last week of the year.
  • Family friendly! 100% paid new parent leave for seven weeks plus an additional five weeks for pregnancy, flexible options to phase back in after leave, fully equipped lactation room.
  • For those emergency moments - long and short term disability, life insurance (2x salary) and an employee assistance program
  • Pre-tax savings plans for health care, child care, elder care, public transportation and parking expenses
  • Telecommuting and flexible work schedules available
  • Appropriate fuel for thinking and coding (aka, a pantry full of treats) and monthly massages to help staff relax
  • Great colleagues - diverse staff and contractors speaking dozens of languages from around the world, fantastic intellectual discourse, mission-driven and intensely passionate people

*Eligible non-US benefits are specific to location and dependent on employer of record

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Senior Data Scientist
python aws tensorflow pytorch scikit-learn senior Jan 17

XOi Technologies is changing the way field service companies capture data, create efficiencies, collaborate with their technicians, and drive additional revenue through the use of the XOi Vision platform. Our cloud-based mobile application is powered by a robust set of machine learning capabilities to drive behaviors and create a seamless experience for our users.

We are a group of talented and passionate engineers and data scientists working together to discover and provide valuable insights for our customers. We leverage state-of-the-art machine learning techniques to provide our users with these unique insights, best practices, and solutions to the challenges they face in their workplace. Problems and solutions typically center around aspects of the Vision platform such as image recognition, natural language processing, and content recommendation.

As a Senior Data Scientist, you will build machine learning products to help automate workflows and provide valuable assistance to our customers. You’ll have access to the right tools for the job, large amounts of quality data, and support from leadership that understands the full data science lifecycle. You’ll build models using technologies such as Python, Tensorflow, and Docker.

Responsibilities:

  • Interpret and understand business needs/market opportunities, and translate those into production analytics.
  • Select appropriate technologies and algorithms for given use cases.
  • Work directly with product managers and engineering teams to tightly integrate new analytic capabilities.
  • Prepare reports, visualizations, and other documentation on the status, operation and maintenance of the analytics you create.
  • Stay current on relevant machine learning and data science practices, and apply those to existing problem sets.

Requirements: 

  • Excellent understanding of machine learning algorithms, processes, tools, and platforms including: CNN, RNN, NLP, Tensorflow, PyTorch, etc.
  • Proficient with the following (or comparable): Linux, Python, scikit-learn, NumPy, pandas, spaCy.
  • Applied experience with machine learning on large datasets/sparse data with structured and unstructured data.
  • Experience with deep learning techniques and their optimizations for efficient implementation.
  • Great communication skills, ability to explain predictive analytics to non-technical audiences
  • Bachelor’s in Math, Engineering, or Computer Science (or technical degree with commensurate industry experience).
  • 3+ years of relevant work experience in data science/machine learning.

Nice to Have:

  • AWS services such as Lambda, AppSync, S3, and DynamoDB
  • DevOps experience with continuous integration/continuous deployment.
  • Experience in software engineering best practices, principles, and code design concepts.
  • Speech-to-text or OCR expertise.

You Are Someone Who:  

  • Has a passion for code quality and craftsmanship.
  • Views your profession as your craft and continuously pursues excellence in your work.
  • Thrives in a fast-paced, high-growth startup environment.
  • Collaborates effectively across various teams, coordinating regularly to set and manage expectations.

You’ll experience:  

  • Being a key part of a fast-growing software company where you can make a difference.
  • Comprehensive insurance plans.
  • Monthly wellness allowance.
  • Flexible paid time off & paid volunteer time.
  • Learning & development.
  • Working in the historic and centrally located Marathon Village in Nashville, TN.
  • Participating in team outings, events, and general fun! 
  • Helping to change an industry by serving the men and women that make our world turn.
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Data Scientist
python sql spacy powerbi github data science Jan 07

Position Overview:

Our tech team is looking for a data scientist with excellent communication skills and demonstrated experience writing idiomatic Python code. You’re comfortable fielding a question from a non-technical stakeholder about our dataset and then putting together a data visualization with the answer. You’re also ready to troubleshoot a bug in one of our existing ETL scripts and make a pull request with a detailed write-up of the fix. We use Google BigQuery, PowerBI, spaCy, pandas, Airflow, Docker.

The right candidate has experience with the Python data science stack as well as one or more BI tools such as Tableau or PowerBI, and is able to juggle competing priorities with finesse. Working in a fast-paced, flexible, start-up environment; we welcome your adaptability, curiosity, passion, grit, and creativity to contribute to our cutting-edge research of this growing, fascinating industry.

Key Responsibilities:

  • Query and transform data with Standard SQL and pandas
  • Build BI reports to answer questions of our data
  • Work with our data engineering team to munge large datasets using our existing data pipelines for our existing BI reports

Qualifications & Skills:

REQUIRED:

  • 1-3 years of experience working full-time with Python for data science; we use pandas, scikit-learn, and numpy
  • Intermediate-to-expert level SQL experience; we use Standard SQL
  • Experience with one or more natural language processing frameworks; we use spaCy.
  • Excellent communication skills and demonstrated ability to collaborate with non-technical stakeholders to create compelling answers to tough data questions
  • Intermediate-to-expert level skills with one or more interactive business intelligence tools like PowerBI or Tableau

PREFERRED:

  • Experience with CI/CD tools like CircleCI; we use GitHub Actions
  • Experience with Docker
  • Experience with Airflow

BENEFITS:

  • Choose your own laptop
  • Health Insurance
  • 401K
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Data Engineer
python sql google-bigquery pandas airflow data science Jan 06

Position Overview:

The ideal candidate is an experienced data engineer. You will help us develop and maintain our data pipelines, built with Python, Standard SQL, pandas, and Airflow within Google Cloud Platform. We are in a transitional phase of refactoring our legacy Python data transformation scripts into iterable Airflow DAGs and developing CI/CD processes around these data transformations. If that sounds exciting to you, you’ll love this job. You will be expected to build scalable data ingress and egress pipelines across data storage products, deploy new ETL pipelines and diagnose, troubleshoot and improve existing data architecture. Working in a fast-paced, flexible, start-up environment; we welcome your adaptability, curiosity, passion, grit, and creativity to contribute to our cutting-edge research of this growing, fascinating industry. 

Key Responsibilities:

  • Build and maintain ETL processes with our stack: Airflow, Standard SQL, pandas, spaCy, and Google Cloud. 
  • Write efficient, scalable code to munge, clean, and derive intelligence from our dataPage Break

Qualifications & Skills: 

REQUIRED:

  • 1-3 years experience in a data-oriented Python role, including use of:
    • Google Cloud Platform (GCE, GBQ, Cloud Composer, GKE)
    • Airflow
    • CI/CD like: GitHub Actions or CircleCI 
    • Docker
  • Fluency in the core tenants of the Python data science stack: SQL, pandas, scikit-learn, etc. 
  • Familiarity with modern NLP systems and processes, ideally spaCy

PREFERRED:

  • Demonstrated ability to collaborate effectively with non-technical stakeholders
  • Experience scaling data processes with Kubernetes 
  • Experience with survey and/or social media data
  • Experience preparing data for one or more interactive data visualization tools like PowerBI or Tableau

BENEFITS:

  • Choose your own laptop
  • Health Insurance
  • 401K
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Senior Python Engineer
python aws-lambda graphql rest aws senior Dec 15 2019

The product engineering team is responsible for the creation and quality of the XOi Vision platform. This platform serves thousands of Field Technicians across the country.  We’re looking for a Senior Python Engineer (Analytics) to play a key role in building and maintaining the backend code and services that support our mobile and web applications. 

We are a group of talented and passionate group of engineers and data scientists working together to discover and provide valuable insights for our customers. We leverage state-of-the-art machine learning techniques to provide our users with these unique insights, best practices, and assistance to the problems they face in their workplace. Problems and solutions typically center around aspects of the XOi platform such as image recognition, natural language processing, and content recommendation.

As a senior-level engineer on the analytics team, you will build applications and data pipelines to curate and organize XOi’s data. Data is our most valued asset, and in this position, you will be a key contributor to the team. You’ll build applications using technologies such as Python (AWS Lambda), Docker, GraphQL and DynamoDB.

Responsibilities:

  • Build effective, well-tested server and APIs
  • Build data pipelines and web scrapers
  • Build containerized services for machine learning models
  • Assist in gathering and implementing requirements for data applications
  • Take ownership for application components and ensure quality throughout the development process
  • Build and maintain CI / CD pipelines.
  • Create reports, dashboards and documentation on the status, operation, and maintenance of the applications you build

Requirements: 

  • Bachelor’s degree in Computer Science or equivalent field (or 6+ years of working experience).
  • 3+ years of demonstrated experience building and deploying applications or services in a cloud infrastructure environment.
  • Expertise with functional or object-oriented program design patterns with a demonstrated ability to choose between and synthesize them.
  • Experience with both statically and dynamically typed programming languages and a solid understanding of the strengths and weaknesses of both paradigms.
  • Good understanding of REST-based services and service-based architecture.
  • Experience in developing best practices, software principles, and code design concepts.
  • Experience in developing and supporting rapid iterations of software in an Agile context.

Nice to Have:

  • Experience with CI/CD development and organizational practices
  • AWS services such as Lambda, AppSync, S3, and DynamoDB
  • Experience deploying machine learning models with Tensorflow or similar deep learning frameworks
  • Experience with web-development frameworks and visualization libraries such as React and D3.js

You Are Someone Who:  

  • Has a passion for code quality and craftsmanship.
  • Views your profession as your craft and continuously pursues excellence in your work.
  • Thrives in a fast-paced, high-growth startup environment.
  • Collaborates effectively across various teams, coordinating regularly to set and manage expectations.

You’ll experience:  

  • Being a key part of a fast-growing software company where you can make a difference.
  • Comprehensive insurance plans.
  • Monthly wellness allowance.
  • Flexible paid time off & paid volunteer time.
  • Learning & development.
  • Working in the historic and centrally located Marathon Village in Nashville, TN.
  • Participating in team outings, events, and general fun! 
  • Helping to change an industry by serving the men and women that make our world turn.
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Data Scientist
python machine learning computer vision mongodb healthcare aws Dec 12 2019
We are looking for a talented Data Scientist to join our team at Prominent Edge. We are a small company of 24+ developers and designers who put themselves in the shoes of our customers and make sure we deliver strong solutions. Our projects and the needs of our customers vary greatly; therefore, we always choose the technology stack and approach that best suits the particular problem and the goals of our customers. As a result, we want developers who do high-quality work, stay current, and are up for learning and applying new technologies when appropriate. We want engineers who have an in-depth knowledge of Amazon Web Services and are up for using other infrastructures when needed. We understand that for our team to perform at its best, everyone needs to work on tasks that they enjoy. Most of our projects are web applications which and often have a geospatial aspect to them. We also really take care of our employees as demonstrated in our exceptional benefits package. Check out our website at http://prominentedge.com for more information and apply through http://prominentedge.com/careers.

Ideal candidates are those who can find value out of data.  Such a person proactively fetches information from various sources and analyzes it for a better understanding of the problem, and may even build AI/ML tools to make insights. The ideal candidate is adept at using large datasets to find the right needle in a pile of needles and uses models to test the effectiveness of different courses of action. Candidates must have strong experience using a variety of data mining/data analysis methods, using a variety of data tools, building and implementing models, using/creating algorithms and creating/running simulations. They must have a proven ability to drive results with their data-based insights. They must be comfortable working with a wide range of stakeholders and functional teams. The right candidate will have a passion for discovering solutions hidden in large datasets and working with stakeholders to improve mission outcomes.  A successful candidate will have experience in many (if not all) of the following technical competencies including: statistics and machine learning, coding languages, databases, and reporting technologies.

Required Skills

  • Bachelor's Degree in Computer Science, Information Systems, Engineering or other related scientific or technical discipline.
  • Proficient in data preparation, exploration, and statistical analysis
  • Proficient in a programing language such as Python, Rm Julia, or JavaScript
  • Experience with batch scripting and data processing
  • Experience with Machine Learning libraries and frameworks such as TensorFlow/Pytorch or Bayesian Analysis using SAS/R Studio.
  • Experience with databases such as Postgres, Elasticsearch, MongoDB, or Redis

Desired Skills

  • Master's degree in Computer Science or related technical discipline.
  • Experience with natural language processing, computer vision, or deep learning
  • Experience working with geospatial data
  • Experience with statistical techniques
  • Experience as either back-end or front-end/visualization developer
  • Experience with visualization and reporting technologies such as Kibana or Tableau

W2 Benefits

  • Not only you get to join our team of awesome playful ninjas, we also have great benefits:
  • Six weeks paid time off per year (PTO+Holidays).
  • Six percent 401k matching, vested immediately.
  • Free PPO/POS healthcare for the entire family.
  • We pay you for every hour you work. Need something extra? Give yourself a raise by doing more hours when you can.
  • Want to take time off without using vacation time? Shuffle your hours around in any pay period.
  • Want a new MacBook Pro laptop? We'll get you one. If you like your MacBook Pro, we’ll buy you the new version whenever you want.
  • Want some training or to travel to a conference that is relevant to your job? We offer that too!
  • This organization participates in E-Verify.
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Sr. Data Scientist
python machine learning design nlp Dec 07 2019
THE JOURNEY TO YOUR DREAM JOB COULD BE JUST A CLICK AWAY…
In 2012, Tuft & Needle(tn.com) revolutionized the mattress space by turning the focus to the customer with always-honest pricing, an insistence on high-quality products, and world-class customer experience. We started our journey with two software engineers and a dream and today we have grown to a team of more than 175 talented people, working each day to bring the world premium sleep products at an honest cost.

As a Data Scientist, you'll be an important part of the company's decision-making process. You will help us understand how things are related to each other, which approaches are working, and which aren't. You'll also help us maintain our data-infrastructure. This includes our reporting and data management, as well as automated statistical and machine learning tools.

Together, we are radically reshaping how we think about sleep, mattresses, and shopping - and we’re just getting started. Want to join us?

*Open to remote opportunity

RESPONSIBILITIES:

    • Write programs to automate analyses and data wrangling
    • Build machine learning models to forecast and understand customer behavior
    • Maintain and improve reporting in Looker, Metabase, and R
    • Explain analyses and discoveries with articles and presentations


REQUIREMENTS:

    • Strong knowledge of statistics and inference
    • 2+ years writing and maintaining code
    • 2+ years working with SQL
    • Experience communicating statistical concepts to a broad audience


PREFERRED EXPERIENCE:

    • Programming in R and/or Python
    • Managing and organizing a large codebase
    • Experience with Bayesian Methods
    • Deep experience in some part of statistics (Ex: time series analysis, experimental design, multivariate analysis, natural language processing, etc.)
    • Interest in functional style programming
    • Interest in causal inference


YOU CAN SLEEP BETTER WHEN YOU WORK AT T&N
Our people – You will be working alongside some of the most talented, supportive, savvy individuals out there… people we are so proud to work with.  Together, we are shaking things up in the mattress industry and delivering an experience for clients that they would never expect.

Our product – Each team member receives a great bundle of products for themselves.  You will too if you join the team!  Your friends and family will also have access to a great product discount.

Our benefits - We offer comprehensive health benefits for you, eligible partners and dependents, paid maternity & paternity leave, 401k with a match, a generous vacation plan, and so much more. 

Tuft & Needle is proud to be an equal opportunity employer. We will not discriminate against any applicant or employee on the basis of age, race, color, creed, religion, sex, sexual orientation, gender, gender identity or expression, medical condition, national origin, ancestry, citizenship, marital status or civil partnership/union status, physical or mental disability, pregnancy, childbirth, genetic information, military and veteran status, or any other basis prohibited by applicable federal, state or local law.

Your experience is important to us. If you have any questions with your application, please contact our Candidate Experience Team at talent@tuftandneedle.com
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Senior NodeJS/React Developer
node-js javascript senior html css machine learning Dec 07 2019

*This position can be remote, but US based candidates only.

Dealer Inspire, a CARS Inc. company, is hiring for our Conversations Team!

Conversations is Dealer Inpire's messaging platform that connects today’s car shoppers with dealerships wherever, whenever, and however they want to shop. Fast, mobile, and fully integrated with text messaging and Facebook Messenger™ Conversations  uses A.I. technology and managed chat support to instantly respond to all incoming chats 24/7.

Essential Duties & Responsibilities (including, but not limited to):

  • Development of new features, including adding functionality to our AI chat bot, Ana.
  • Writing high quality, clean code that is paired with automated unit and integration tests.
  • Taking new features through the entire development lifecycle, working in conjunction with our product owner to define the feature, develop it, and test it.
  • Refactoring non-ideal portions of both our Node API and our React apps.
  • Mentoring developers in your area of expertise.

Required Skills & Experience:

  • 3+ years of professional experience working with NodeJS; including the Express framework.
  • 2+ years of professional experience with front-end technologies; including React, Redux, Webpack.
  • Mastery of JavaScript, HTML, and CSS/SASS/StyledComponents.
  • 5+ years of professional experience working with SQL databases; the ability to write efficient queries and benchmark/profile them.
  • Strong understanding of asynchronous programming.
  • Experience with performance debugging and benchmarking.
  • Experience with testing frameworks, such as karma, mocha, or jest.
  • Experience with Git version control.
  • Understanding of CI/CD.
  • Strong attention to design detail (UI/UX).
  • Strong verbal & written communication skills.
  • Strong documentation skills.
  • Experience working remotely & as part of a distributed engineering team.

Highly Desired:

  • AWS Cloud Architecture
  • Typescript
  • Understanding of NLP and Machine Learning • Mobile-first, responsive web design
  • MySQL
  • Algolia
  • Some experience with PHP

About Dealer Inspire: 

Dealer Inspire (DI) is a leading disruptor in the automotive industry through our innovative culture, legendary service, and kick-ass website, technology, and marketing solutions. Our mission is to future-proof local dealerships by building the essential, mobile-first platform that makes automotive retail faster, easier, and smarter for both shoppers and dealers. Headquartered in Naperville, IL, our team of nearly 600 work friends are spread across the United States and Canada, pushing the boundaries and getting **** done every day, together.

DI offers an inclusive environment that celebrates collaboration and thinking differently to solve the challenges our clients face. Our shared success continues to lead to rapid growth and positive change, which opens up opportunities to advance your career to the next level by working with passionate, creative people across skill sets. If you want to be challenged, learn every day, and work as a team with some of the best in the industry, we want to meet you. Apply today.

Want to learn more about who we are? Check us out here!

Perks:

  • Health Insurance with BCBS, Delta Dental (Orthodontics coverage available), and Eye Med Vision
  • 401k plan with company match
  • Tuition Reimbursement
  • 13 days paid time off, parental leave, and selected paid holidays
  • Life and Disability Insurance
  • Subsidized gym membership
  • Subsidized internet access for your home
  • Peer-to-Peer Bonus program

*Not a complete, detailed list. Benefits have terms and requirements before employees are eligible.

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Solutions Engineer
Rasa  
docker python linux nlp machine learning backend Nov 02 2019

This role is US Remote/San Francisco based.

 ABOUT US

At Rasa, we're building the standard infrastructure for conversational AI. With over half a million downloads since launch, our open source tools are loved by developers worldwide, and Rasa runs in production everywhere from startups to Fortune 500s. Our friendly community is growing fast, with developers from all over the world learning from each other and working together to make text- and voice-based AI assistants better.

Rasa's machine learning-based dialogue tools allow developers to automate contextual conversations. What are contextual conversations? Real back-and-forth dialogue that is handled seamlessly. Taking AI assistants beyond fixed question / answer pairs creates exciting new use cases for people and business. The tip of the iceberg includes automation of sales & marketing, internal processes, and advanced customer service that integrates into existing backend systems. With Rasa, companies control their own destiny, investing in AI that they own and ship instead of relying on third parties.

Rasa has raised $14 million in total funding from Accel, Basis Set Ventures and open source founders such as Ross Mason (MuleSoft), Mitchell Hashimoto (Hashicorp) and Florian Leibert (Mesosphere). The company is headquartered in San Francisco, CA, with R&D offices in Berlin, Germany and was founded in 2016.

Rasa is an equal opportunity employer. We are still a small team and are committed to growing in an inclusive manner. We want to augment our team with talented, compassionate people irrespective of race, color, religion, national origin, sex, physical or mental disability, or age.

SUMMARY 

We are looking for enthusiastic support engineers to help our customers with the use of our product, from debugging machine learning models to debugging their docker setup. Doing this well is core to the success of the company.

ABOUT THIS ROLE

Thousands of developers worldwide build voice and chat systems with Rasa. As a solutions architect, you will be working directly with developers and product managers at companies using Rasa to build conversational assistants. You’ll support them in development, building models, testing and resolving issues. 

You will collaborate closely with Rasa’s product engineers to improve our product, including API design, docs, and usability. 

Please keep in mind that we are describing the background we imagine would best fit the role. Even if you don’t meet all the requirements, yet you are confident that you are up for the task, we absolutely want to get to know you!

ABOUT YOU 

You are excited about conversational software and letting people interact with machines through text and speech. You have experience programming in a couple of languages and a good understanding of the machine learning basics. You’re good at finding the root cause of a bug, and can find a solution or workaround when the obvious fixes haven’t worked.

You want to gain more experience with natural language processing, applied machine learning, and putting AI systems into production.

Requirements:


  • Degree in computer science or a related field, or at least 2 years experience developing software.


  • Familiarity with machine learning concepts


  • Experience teaching & communicating technical material


  • Practical experience applying machine learning


  • Experience supporting customers in a technical role


  • Comfortable with most of the following: linux, python, docker, kubernetes 

Nice to have:


  • Experience applying NLP


  • Experience shipping chatbots or voice apps

THINGS YOU WILL DO 

We’re a startup, so you’ll have to be comfortable rolling up your sleeves and doing whatever is required to support our mission. However, you can definitely expect to:


  • Help our customer's engineers build ML-based bots and assistants with Rasa


  • Help them debug their installations of our product


  • Be the voice of our customers in product discussions, using what you’ve learned from helping them succeed to make our products more usable and valuable


  • Report back when a customer encounters shortcomings in our products and discuss how to improve them with our product and applied research teams


  • Run a workshop on best practices with the Rasa stack


  • Write a blog post explaining some aspect of Rasa’s code in detail


  • Collaborate with product teams to make our open source libraries easier to use

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