Remote Natural Language Processing Jobs
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Principal Data Architect |
machine learning nlp big data cloud aws testing | Apr 05 | ||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
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Atlassian is continuing to hire with all interviewing and on-boarding done virtually due to COVID-19. All new and existing Atlassians will continue to work from home until it’s safe to return to our offices. When our offices re-open, we will provide the choice to work from home or return to work in an office unless a job requirement makes it necessary for a particular role to be performed at an Atlassian office. Job description Atlassian is seeking an experienced, strategic, and innovative Principal Data Architect to lead in the expansion of the company’s use of data as a strategic enabler of corporate goals and objectives. This individual will act as a trusted technical partner to the Data Engineering leadership team. In this role as a Principal Data Architect, you will be working with the Corporate Data Engineering (DE), Go to Market (DE), and Data platform teams to provide strategic guidance as to how teams should approach the design and implementation of reliable, performant and scalable data solutions. You will be relied up on to research and recommend integration and analytical products and architectural patterns as well as possessing the ability to provide implementation guidance. Great communication and collaboration is crucial to this role as you will be partnering with teams across IT, R&D and various business units and should be able to articulate the current and end-state architectures to the various stakeholders. More about you In this role, you will:
On your first day, we'll expect you to have:
More about our team Data is a BIG deal at Atlassian. We ingest over 180 billion events each month into our real-time platform and we have dozens of teams across the company depending on the speed and data the platform provides. You’ll be joining a strong team that is spread out among multiple Atlassian locations. We value when people ask hard questions and challenge each other to constantly improve our work. We are independent but love highly collaborative team environments, so you'll get the opportunity to work with lots of other awesome people just like you. More about our benefits Whether you work in an office or a distributed team, Atlassian is highly collaborative and yes, fun! To support you at work (and play) we offer some fantastic perks: ample time off to relax and recharge, flexible working options, five paid volunteer days a year for your favourite cause, an annual allowance to support your learning & growth, unique ShipIt days, a company paid trip after five years and lots more. More about Atlassian Creating software that empowers everyone from small startups to the who’s who of tech is why we’re here. We build tools like Jira, Confluence, Bitbucket, and Trello to help teams across the world become more nimble, creative, and aligned—collaboration is the heart of every product we dream of at Atlassian. From Amsterdam and Austin, to Sydney and San Francisco, we’re looking for people who want to write the future and who believe that we can accomplish so much more together than apart. At Atlassian, we’re committed to an environment where everyone has the autonomy and freedom to thrive, as well as the support of like-minded colleagues who are motivated by a common goal to: Unleash the potential of every team. Additional Information We believe that the unique contributions of all Atlassians is the driver of our success. To make sure that our products and culture continue to incorporate everyone's perspectives and experience we never discriminate on the basis of race, religion, national origin, gender identity or expression, sexual orientation, age, or marital, veteran, or disability status. All your information will be kept confidential according to EEO guidelines. Learn more about Atlassian’s culture, interviewing flow, and hiring process by checking out our Candidate Resource Hub.
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This Year
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Data Scientist - Compliance Systems |
python data science machine learning big data crypto nlp | Feb 17 | ||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
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About Kraken Kraken is changing the world. Join the revolution! Our mission is to accelerate the adoption of cryptocurrency so that you and the rest of the world can achieve financial freedom and inclusion. Founded in 2011 and with over 4 million clients, Kraken is one of the world’s largest, most successful bitcoin exchanges and we’re growing faster than ever. Our range of successful products are playing an important role in the mainstream adoption of crypto assets. We attract people who constantly push themselves to think differently and chart exciting new paths in a rapidly growing industry. Kraken is a diverse group of dreamers and doers who see value in being radically transparent. In less than a decade Kraken has risen to become one of the best and most respected crypto exchanges in the world. We are changing the way the world thinks about money and finance. The crypto industry is experiencing unprecedented growth and Kraken is leading the charge. We’ve grown from 70 Krakenites in January 2017 to over 1200 today and we have no intention of slowing down. The Compliance Systems team works at the intersection of Data Science, Product and Compliance. The Systems team is looking for a Data Scientist with a background in statistics, machine learning and/or natural language processing to help us build and maintain models to describe and predict anomalous customer activity on Kraken’s platform. The role will involve maintaining the transaction monitoring rules codebase, ensuring that requirements for model validation are met, and building a number of new models to enhance existing controls. There is significant scope for innovation in this role, and we are looking for someone who thrives in an environment of ‘freedom with responsibility’. The ideal candidate would have some familiarity with the control systems used to comply with regulatory requirements under BSA/AML or AMLD 4+, but this is not required. A great candidate will be someone who has experience solving customer and behaviour profiling problems in an evolving data environment. Responsibilities
Requirements
We’re powered by people from around the world with their own unique backgrounds and experiences. We value all Krakenites and their talents, contributions, and perspectives. Check out all our open roles at https://www.kraken.com/careers. We’re excited to see what you’re made of. Learn more about us
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QA Engineer, ML |
qa python machine learning testing api healthcare | Feb 16 | ||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
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Company Description Hyperscience is a technology company blazing a new path in enterprise automation with a reimagined approach to building and powering processes. The Hyperscience Platform is the world's first Software-Defined, Input-to-Outcome Automation platform used by top public companies and government organizations around the world to build and run mission-critical processes with ease and speed. Hyperscience helps enterprises quickly build and roll out new business processes with built-in automations, reduce manual errors, increase high- and low-skilled employee productivity, and eliminate the need for costly transformation. Hyperscience’s Intelligent Document Processing solution has been implemented at some of the world's leading financial services, insurance, healthcare and government organizations, including TD Ameritrade, QBE Insurance Group Limited and Voya Financial, helping them lower costs, reduce error rates by 67% and increase employee capacity by 10x. Since its founding in 2014, Hyperscience has grown to more than 250 employees with offices in New York City, Sofia, Bulgaria, and London, UK, and has consistently been recognized as one of the best places to work, with a collaborative and innovative culture and best-in-class benefits. Job description We are focused on building the world’s first Software-Defined, Input-to-Outcome platform by understanding documents, extracting structured and unstructured data, and automating business processes end-to-end - and we’re looking for amazing people to join us. Machine Learning (ML) sits at the core of our efforts to automate the future work. We turn ML lab experiments into enterprise-ready AI solutions to solve complex machine perception and natural language understanding problems. This is an opportunity to work on the full lifecycle of an AI solution - you will research cutting-edge techniques (Computer Vision, Natural Language Processing, Meta Learning, Online Learning), implement them in a fast-growth AI startup environment, and ensure thеy are integrated in a reliable and scalable way to bring real value to customers. We're looking to grow our Machine Learning team with the addition of Quality Assurance Engineer. You will be working directly with our world-class Machine Learning engineers and Product team and will help them to test and improve our products. Responsibilities:
Qualifications:
Nice-to-haves
Benefits & Perks
All job applications will be treated and processed with strict confidentiality and in full compliance with the GDPR provisions. We are an equal opportunity employer and value diversity at our company. We do not discriminate on the basis of race, religion, color, national origin, gender, sexual orientation, age, marital status, veteran status, or disability status.
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Software engineer AI & Machine Learning - Paris |
machine learning java python javascript scala data science | Feb 10 | ||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
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Dataiku allows enterprises to create value with their data in a human-centered way while breaking down silos and encouraging collaboration. One of the most unique characteristics of our product, Data Science Studio (DSS), is the breadth of its scope and the fact that it caters both to technical and non-technical users. Through DSS, we aim to empower people through data and democratize data science. We are looking for a talented software developer interested in AI and machine learning to join us at Dataiku to work on the very core of our world-renowned platform used by 350+ organizations and thousands of data scientists every day. As a software engineer, you will build a cutting-edge product that has a real impact on our customers. You will focus on Dataiku DSS’ machine learning and statistics capabilities, from building algorithms to better use ML models to developing the required visualization interfaces that allow users to make the most of their models. What we do Dataiku DSS is an on-premises or SaaS platform that connects together many data science technologies. We work with Pandas, Spark, scikit-learn, Keras, TensorFlow, Kubernetes, and many more. Basically, our technological stack is made up of the latest and greatest technologies from the big data and machine learning landscape. What you will be doing Your role will be to add new features or improve existing ones to help our customers use predictive algorithms and put them into production with an intuitive and user-friendly interface, as well as APIs that let coders control and automate all those operations. You may also develop some other AI features (think NLP, time series, computer vision, labeling management, etc.) or collaborate with the AI Lab, our research department, to develop cutting edge POCs and experiments on a broad set of emerging machine learning topics. The platform itself is in Java, Python, and Scala for the backend, with JavaScript and Angular on the frontend. You are the ideal recruit if:
(Note : This is a Software Engineering job. We have separate Data Scientist positions open.) Hiring process:
Dataiku’s culture is right for you if
To fulfill its mission, Dataiku is growing fast! In 2019, we achieved unicorn status, went from 200 to 400 people and opened new offices across the globe. Spanning from Sydney to Frankfurt, Denver to London, geography doesn’t stop Dataikers from working closely together and sharing experiences. Collaboration is key within our product and culture. We strive to create a sense of belonging and community while fostering diverse thinking by encouraging cross-team, cross-office interactions like our annual company offsite or Paris onboarding. Fly over to Twitter, LinkedIn, and Instagram to read stories about our culture, people, and success. Our practices are rooted in the idea that everyone should be treated with dignity, decency and fairness. Dataiku also believes that a diverse identity is a source of strength and allows us to optimize across the many dimensions that are needed for our success. Therefore, we are proud to be an equal opportunity employer. All employment practices are based on business needs, without regard to race, ethnicity, gender identity or expression, sexual orientation, religion, age, neurodiversity, disability status, citizenship, veteran status or any other aspect which makes an individual unique or protected by laws and regulations in the locations where we operate. This applies to all policies and procedures related to recruitment and hiring, compensation, benefits, performance, promotion and termination and all other conditions and terms of employment.
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Software engineer AI & Machine Learning - London |
machine learning java python javascript scala data science | Feb 10 | ||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
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Dataiku allows enterprises to create value with their data in a human-centered way while breaking down silos and encouraging collaboration. One of the most unique characteristics of our product, Data Science Studio (DSS), is the breadth of its scope and the fact that it caters both to technical and non-technical users. Through DSS, we aim to empower people through data and democratize data science. We are looking for a talented software developer interested in AI and machine learning to join us at Dataiku to work on the very core of our world-renowned platform used by 350+ organizations and thousands of data scientists every day. As a software engineer, you will build a cutting-edge product that has a real impact on our customers. You will focus on Dataiku DSS’ machine learning and statistics capabilities, from building algorithms to better use ML models to developing the required visualization interfaces that allow users to make the most of their models. What we do Dataiku DSS is an on-premises or SaaS platform that connects together many data science technologies. We work with Pandas, Spark, scikit-learn, Keras, TensorFlow, Kubernetes, and many more. Basically, our technological stack is made up of the latest and greatest technologies from the big data and machine learning landscape. What you will be doing Your role will be to add new features or improve existing ones to help our customers use predictive algorithms and put them into production with an intuitive and user-friendly interface, as well as APIs that let coders control and automate all those operations. You may also develop some other AI features (think NLP, time series, computer vision, labeling management, etc.) or collaborate with the AI Lab, our research department, to develop cutting edge POCs and experiments on a broad set of emerging machine learning topics. The platform itself is in Java, Python, and Scala for the backend, with JavaScript and Angular on the frontend. You are the ideal recruit if:
(Note : This is a Software Engineering job. We have separate Data Scientist positions open.) Hiring process:
Dataiku’s culture is right for you if
To fulfill its mission, Dataiku is growing fast! In 2019, we achieved unicorn status, went from 200 to 400 people and opened new offices across the globe. Spanning from Sydney to Frankfurt, Denver to London, geography doesn’t stop Dataikers from working closely together and sharing experiences. Collaboration is key within our product and culture. We strive to create a sense of belonging and community while fostering diverse thinking by encouraging cross-team, cross-office interactions like our annual company offsite or Paris onboarding. Fly over to Twitter, LinkedIn, and Instagram to read stories about our culture, people, and success. Our practices are rooted in the idea that everyone should be treated with dignity, decency and fairness. Dataiku also believes that a diverse identity is a source of strength and allows us to optimize across the many dimensions that are needed for our success. Therefore, we are proud to be an equal opportunity employer. All employment practices are based on business needs, without regard to race, ethnicity, gender identity or expression, sexual orientation, religion, age, neurodiversity, disability status, citizenship, veteran status or any other aspect which makes an individual unique or protected by laws and regulations in the locations where we operate. This applies to all policies and procedures related to recruitment and hiring, compensation, benefits, performance, promotion and termination and all other conditions and terms of employment.
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Software engineer AI & Machine Learning - Remote |
machine learning java python javascript scala data science | Feb 10 | ||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
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Dataiku allows enterprises to create value with their data in a human-centered way while breaking down silos and encouraging collaboration. One of the most unique characteristics of our product, Data Science Studio (DSS), is the breadth of its scope and the fact that it caters both to technical and non-technical users. Through DSS, we aim to empower people through data and democratize data science. We are looking for a talented software developer interested in AI and machine learning to join us at Dataiku to work on the very core of our world-renowned platform used by 350+ organizations and thousands of data scientists every day. As a software engineer, you will build a cutting-edge product that has a real impact on our customers. You will focus on Dataiku DSS’ machine learning and statistics capabilities, from building algorithms to better use ML models to developing the required visualization interfaces that allow users to make the most of their models. What we do Dataiku DSS is an on-premises or SaaS platform that connects together many data science technologies. We work with Pandas, Spark, scikit-learn, Keras, TensorFlow, Kubernetes, and many more. Basically, our technological stack is made up of the latest and greatest technologies from the big data and machine learning landscape. What you will be doing Your role will be to add new features or improve existing ones to help our customers use predictive algorithms and put them into production with an intuitive and user-friendly interface, as well as APIs that let coders control and automate all those operations. You may also develop some other AI features (think NLP, time series, computer vision, labeling management, etc.) or collaborate with the AI Lab, our research department, to develop cutting edge POCs and experiments on a broad set of emerging machine learning topics. The platform itself is in Java, Python, and Scala for the backend, with JavaScript and Angular on the frontend. You are the ideal recruit if:
(Note : This is a Software Engineering job. We have separate Data Scientist positions open.) Hiring process:
Dataiku’s culture is right for you if
To fulfill its mission, Dataiku is growing fast! In 2019, we achieved unicorn status, went from 200 to 400 people and opened new offices across the globe. Spanning from Sydney to Frankfurt, Denver to London, geography doesn’t stop Dataikers from working closely together and sharing experiences. Collaboration is key within our product and culture. We strive to create a sense of belonging and community while fostering diverse thinking by encouraging cross-team, cross-office interactions like our annual company offsite or Paris onboarding. Fly over to Twitter, LinkedIn, and Instagram to read stories about our culture, people, and success. Our practices are rooted in the idea that everyone should be treated with dignity, decency and fairness. Dataiku also believes that a diverse identity is a source of strength and allows us to optimize across the many dimensions that are needed for our success. Therefore, we are proud to be an equal opportunity employer. All employment practices are based on business needs, without regard to race, ethnicity, gender identity or expression, sexual orientation, religion, age, neurodiversity, disability status, citizenship, veteran status or any other aspect which makes an individual unique or protected by laws and regulations in the locations where we operate. This applies to all policies and procedures related to recruitment and hiring, compensation, benefits, performance, promotion and termination and all other conditions and terms of employment.
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Senior Product Manager |
senior manager product manager nlp backend | Jan 31 | ||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
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Atlassian is continuing to hire with all interviewing and on-boarding done virtually due to COVID-19. All new and existing Atlassians will continue to work from home until it’s safe to return to our offices. When our offices re-open, we will provide the choice to work from home or return to work in an office unless a job requirement makes it necessary for a particular role to be performed at an Atlassian office. Are you passionate about building scalable automation solutions to seek business-critical application challenges? If so, we want you to join our team! Atlassian is looking for an experienced Sr. IT Product Manager to join its Intelligent Automation team. Our fast-moving team delivers a self-serve platform and managed solutions to address business problems & opportunities. We are always growing, learning, and adapting - in and out of the office. Our team is smart and direct; we ask difficult questions and challenge each other to constantly improve our work. We are driven but team-oriented. We're dedicated to agile methodology. We know the importance of validating our assumptions about users and deploying various types of technologies to enable functional teams. Our bottom line is enabling the business & IT to consume quality integration assets with speed and agility - no matter what. What you’ll be doing? As the Senior Product Manager, you’ll work with the team to champion and manage the technology roadmap. Our team works with internal customers and stakeholders directly and will be looking for your strong product management and proactive leadership to help them achieve their goals. Define and execute the roadmap for Intelligent Automation teams and work with Delivery and Team leads. Work with a myriad of different technology experts in areas like NLP, nocode/lowcode, Integration and business process automations (eg. Workato, NLP, Camunda, RPA) to solve real-world business problems faced by internal teams. Articulate and educate on business value, technical and architectural concepts to a variety of audiences, including business users, developers, architects, IT operations professionals, and senior IT management Partner with Business Process owners, Engineering, and designers for delivery. More about you On your first day, we'll expect you to have: *Minimum 8 years of product management experience with a focus on platform *Experience in leading / prioritizing product roadmaps and effective partner engagement *Partner closely with other Product Management leaders to build roadmap for the team. *Experience working with cross-functional and cross-geo teams to build product roadmap from initial idea to launch including product limitations into a roadmap *Excellent communication skills: you've got extensive experience collaborating with executives, Engineers, Product Managers, and Designers to build great experiences Nice to have, but not mandatory: *Experience in some/combination of the following markets: Robotic Process Automation (RPA), Business Process Automation (BPM), Low-Code / No-Code Tools, Backend Integration, NLP, AI, Chatbots *Solid understanding of the changing nature of the citizen developer experience *Strong functional design experience. *Proven data-driven decision-making skills and agility to solve business challenges, handle competing priorities, and maintaining an attention to detail *Good understanding of modern enterprise software technologies and solutions skills that involve such technologies. More about our benefits Whether you work in an office or a distributed team, Atlassian is highly collaborative and yes, fun! To support you at work (and play) we offer some fantastic perks: ample time off to relax and recharge, flexible working options, five paid volunteer days a year for your favourite cause, an annual allowance to support your learning & growth, unique ShipIt days, a company paid trip after five years and lots more. More about Atlassian Creating software that empowers everyone from small startups to the who’s who of tech is why we’re here. We build tools like Jira, Confluence, Bitbucket, and Trello to help teams across the world become more nimble, creative, and aligned—collaboration is the heart of every product we dream of at Atlassian. From Amsterdam and Austin, to Sydney and San Francisco, we’re looking for people who want to write the future and who believe that we can accomplish so much more together than apart. At Atlassian, we’re committed to an environment where everyone has the autonomy and freedom to thrive, as well as the support of like-minded colleagues who are motivated by a common goal to: Unleash the potential of every team. Additional Information We believe that the unique contributions of all Atlassians is the driver of our success. To make sure that our products and culture continue to incorporate everyone's perspectives and experience we never discriminate on the basis of race, religion, national origin, gender identity or expression, sexual orientation, age, or marital, veteran, or disability status. All your information will be kept confidential according to EEO guidelines. Learn more about Atlassian’s culture, interviewing flow, and hiring process by checking out our Candidate Resource Hub.
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Principal Engineer, Intelligent Automation |
nlp finance | Jan 27 | ||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
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Atlassian is continuing to hire with all interviewing and on-boarding done virtually due to COVID-19. All new and existing Atlassians will continue to work from home until it’s safe to return to our offices. When our offices re-open, we will provide the choice to work from home or return to work in an office unless a job requirement makes it necessary for a particular role to be performed at an Atlassian office. Come join Atlassian as a Principal Engineer to lead and support architecture activities across teams providing Intelligent Automation Solutions. As a Principal Engineer, you will drive the vision and architecture of myriad of technologies for digital transformation (RPA, BPM, Low Code/No code, NLP, ML, AI). Our fast paced team delivers self-serve and managed platform solutions to address business problems & opportunities. We are also pioneers for incubating new technologies within IT. We are always growing, learning, and adapting, in and out of the office. Our team is smart and direct; we ask difficult questions and challenge each other to constantly improve our work. We are driven but team oriented. We're dedicated to agile methodology. We know the importance of validating our assumptions about users and deploying various types of technologies to enable functional teams. Our bottom line is enabling the business & IT to consume quality integration assets with speed and agility - no matter what! What you’ll be doing? · Defining and driving the overall platform's strategic vision and architecture, such as platform roadmap, service roadmap, and technology selection · Support business and technology innovation that drives the organization's top and bottom lines · Engage key business stakeholders and IT Senior Leaders to facilitate both strategy and innovation planning · Own the Business Capability Map and models, Architecture, and influence solution architecture · Collaborate with IT’s Strategic Planning group to influence investment roadmaps · Work with other Enterprise Architects and key organisational stakeholders to define a strategic plan for leveraging integrated architecture as part of the enterprise architecture · Participate in Architecture development, including business architecture, information architecture, application portfolio and technical architecture · Seek ways to apply new technology, and reuse existing technology for, business processes. Research and provide information on technical trends and competitors' practices relevant to Intelligent Automations. More about you · Bachelor's degree in business, information systems or related field, or equivalent and extensive related project experience; · 12-15 years of business or IT experience with direct responsibility for strategy formulation and/or translation, business analytics, and program management · Management or leadership experience in one or more of the following areas: Enterprise and/or Solutions Architecture, Digital Transformation, Business Process Management · Experience leading large-scale transformation projects and implementations! · Experience with designing and developing digital solutions architectures that support business requirements · Knowledge of existing, new, and emerging technologies and being able to apply them to new business designs and business models Nice to have, but not mandatory: · Knowledge and understanding of different types of business and operating models (existing, new, emerging, and hybrid) · In-depth experience with a number of business domains (e.g., Sales, Marketing, Finance, etc.) technology, and architecture · Strong analytical and conceptual skills and the ability to build original concepts and hypotheses for a variety of projects · Experience leading or influencing multi-disciplined, high-performance work teams · Exhibited skills in leading program management efforts involving the coordination of resources and goals across multiple related projects · Experience developing and supervising the delivery of efficient and effective solutions to diverse and complex business problems · Knowledge of finance, accounting, valuation, and metrics development · Experience with BPMN, AI/ML, NLP, Chatbots, RPA · Familiarity with Atlassian products More about our team: The Intelligent Automations team handles process automation across the entire Atlassian organization, which means taking a broad approach by demonstrating the combination of existing and new complementary technological capabilities to automate end to end business processes to help Atlassian scale. Presently our team is focused on the following areas: · Robotic Process Automation (RPA) · Integration Platform · Technology incubation More about our benefits Whether you work in an office or a distributed team, Atlassian is highly collaborative and yes, fun! To support you at work (and play) we offer some fantastic perks: ample time off to relax and recharge, flexible working options, five paid volunteer days a year for your favourite cause, an annual allowance to support your learning & growth, unique ShipIt days, a company paid trip after five years and lots more. More about Atlassian Creating software that empowers everyone from small startups to the who’s who of tech is why we’re here. We build tools like Jira, Confluence, Bitbucket, and Trello to help teams across the world become more nimble, creative, and aligned—collaboration is the heart of every product we dream of at Atlassian. From Amsterdam and Austin, to Sydney and San Francisco, we’re looking for people who want to write the future and who believe that we can accomplish so much more together than apart. At Atlassian, we’re committed to an environment where everyone has the autonomy and freedom to thrive, as well as the support of like-minded colleagues who are motivated by a common goal to: Unleash the potential of every team. Additional Information We believe that the unique contributions of all Atlassians is the driver of our success. To make sure that our products and culture continue to incorporate everyone's perspectives and experience we never discriminate on the basis of race, religion, national origin, gender identity or expression, sexual orientation, age, or marital, veteran, or disability status. All your information will be kept confidential according to EEO guidelines. Learn more about Atlassian’s culture, interviewing flow, and hiring process by checking out our Candidate Resource Hub.
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Senior Software Engineer, Intelligent Automation |
senior java nlp saas aws testing | Jan 21 | ||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
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Atlassian is continuing to hire with all interviewing and on-boarding done virtually due to COVID-19. All new and existing Atlassians will continue to work from home until it’s safe to return to our offices. When our offices re-open, every Atlassian will have the choice to work from an office or from home. Are you passionate about building scalable automation solutions to tackle mission-critical application challenges? If so, we want you to join our team! Atlassian is looking for a Senior Software Engineer to join our IT Intelligent Automation team. Our fast-paced team delivers self-serve platform solutions to address business problems & opportunities. We are always growing, learning, and adapting, in and out of the office. Our team is smart and direct; we ask difficult questions and constantly challenge each other to improve our work. We are driven but team-oriented. We're dedicated to agile methodology. We know the importance of validating our assumptions about users and deploying various types of technologies to enable functional teams. Our bottom line is enabling the business & IT to consume quality integration assets with speed and agility - no matter what! In this role, you will: · Drive the overall platform's strategic vision and architecture, such as platform roadmap, service roadmap, and technology selection · Work with a myriad of different technologies (SaaS, Open source, custom builds, and hybrids of the preceding) to tackle real-world business problems faced by multiple teams · Build proofs of concept and reference applications to demonstrate technology in action · Work with multiple teams to assist them in coming up to speed and deploying the solutions · Build reusable assets and automation for SaaS platforms · Work with different technologies with which you may be completely unfamiliar regularly · Review, mentor, and guide other software engineers to produce reliable and high-quality code · Articulate and educate on business value, technical and architectural concepts to a variety of audiences, including business users, developers, architects, IT operations engineers, and senior IT management On day one, we’ll expect you to have: · 8+ years of professional software development experience · Strong Java programming skills · Experience with AWS infrastructure and/or Microservices · Experience working in Middleware products such as TIBCO, MuleSoft, IBM Message Broker, BPMN, Camunda, Workato, etc. · A voracious appetite for learning new things · Experience building, testing, deploying, and managing applications · Strong interpersonal and communication skills · Strong ability to speak to, as well as collaborate with, engineers, project managers, and business system analysts · Experience with building platforms and frameworks that are used by other developers · Experience translating partners needs into product features It’s awesome, but not required if you have: · Experience with AI/ML, NLP, chatbots, etc · Experience with RPA · Familiarity with Atlassian products · A strong DevOps background More about our team: The Intelligent Automations team handles process automation across the entire Atlassian organisation, which means taking a broad approach by demonstrating the combination of existing and new complementary technological capabilities to automate end to end business processes to help Atlassian scale. Presently our team is focused on the following areas: · Robotic Process Automation (RPA) · Integration Platform · Technology incubation More about our benefits Whether you work in an office or a distributed team, Atlassian is highly collaborative and yes, fun! To support you at work (and play) we offer some fantastic perks: ample time off to relax and recharge, flexible working options, five paid volunteer days a year for your favourite cause, an annual allowance to support your learning & growth, unique ShipIt days, a company paid trip after five years and lots more. More about Atlassian Creating software that empowers everyone from small startups to the who’s who of tech is why we’re here. We build tools like Jira, Confluence, Bitbucket, and Trello to help teams across the world become more nimble, creative, and aligned—collaboration is the heart of every product we dream of at Atlassian. From Amsterdam and Austin, to Sydney and San Francisco, we’re looking for people who want to write the future and who believe that we can accomplish so much more together than apart. At Atlassian, we’re committed to an environment where everyone has the autonomy and freedom to thrive, as well as the support of like-minded colleagues who are motivated by a common goal to: Unleash the potential of every team. Additional Information We believe that the unique contributions of all Atlassians is the driver of our success. To make sure that our products and culture continue to incorporate everyone's perspectives and experience we never discriminate on the basis of race, religion, national origin, gender identity or expression, sexual orientation, age, or marital, veteran, or disability status. All your information will be kept confidential according to EEO guidelines. Learn more about Atlassian’s culture, interviewing flow, and hiring process by checking out our Candidate Resource Hub.
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Senior Data Scientist |
senior python data science machine learning nlp big data | Nov 10 2020 | ||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
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Medium’s mission is to help people deepen their understanding of the world and discover ideas that matter. We are building a place where ideas are judged on the value they provide to readers, not the fleeting attention they can attract for advertisers. We are creating the best place for reading and writing on the internet—a place where today’s smartest writers, thinkers, experts, and storytellers can share big, interesting ideas. We are looking for a Senior Data Scientist who will help us build a new future for the written word on the web, as part of a team that translates data into actionable insights. Broadly, Data Scientists at Medium focus on analysis — interpreting data, sharing insights, and developing models that improve the product. We work together to analyze patterns at a macro level, answering questions the rest of the company hasn’t thought to ask yet. You’ll spend most of your time working on a product team: a group of engineers, designers, a product manager, and you, the Data Scientist, all working together in a small group to build new features. You’ll extract key data and findings, define metrics, evaluate A|B tests, identify opportunities based on the data, and share new insights that no one considered before. You’ll bring data to bear on a set of thorny questions at the intersection of tech and media, helping us grow our ecosystem of readers and writers and build a new economic model for written content. On the day to day, you will
You should have
Nice to have
At Medium, we foster an inclusive, supportive, fun yet challenging team environment. We value having a team that is made up of a diverse set of backgrounds and respect the healthy expression of diverse opinions. We embrace experimentation and the examination of all kinds of ideas through reasoning and testing. Come join us as we continue to change the world of digital media. Medium is an equal opportunity employer. Interested? We'd love to hear from you. Please note that communication regarding your application, interviews, and job offers will only come from e-mail addresses ending in"@medium.com". Anything else is not a legitimate outreach.
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Data Scientist |
nlp big data testing | Nov 10 2020 | ||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
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Medium’s mission is to help people deepen their understanding of the world and discover ideas that matter. We are building a place where ideas are judged on the value they provide to readers, not the fleeting attention they can attract for advertisers. We are creating the best place for reading and writing on the internet—a place where today’s smartest writers, thinkers, experts, and storytellers can share big, interesting ideas. We are looking for a Data Scientist who will help us build a new future for the written word on the web, as part of a team that translates data into actionable insights. Broadly, Data Scientists at Medium focus on analysis — interpreting data, sharing insights, and developing models that improve the product. We work together to analyze patterns at a macro level, answering questions the rest of the company hasn’t thought to ask yet. You’ll spend most of your time working on a product team: a group of engineers, designers, a product manager, and you, the Data Scientist, all working together in a small group to build new features. You’ll extract key data and findings, define metrics, evaluate A|B tests, identify opportunities based on the data, and share new insights that no one considered before. You’ll bring data to bear on a set of thorny questions at the intersection of tech and media, helping us grow our ecosystem of readers and writers and build a new economic model for written content. On the day to day, you will
You should have
Nice to have
At Medium, we foster an inclusive, supportive, fun yet challenging team environment. We value having a team that is made up of a diverse set of backgrounds and respect the healthy expression of diverse opinions. We embrace experimentation and the examination of all kinds of ideas through reasoning and testing. Come join us as we continue to change the world of digital media. Medium is an equal opportunity employer. Interested? We'd love to hear from you. Please note that communication regarding your application, interviews, and job offers will only come from e-mail addresses ending in"@medium.com". Anything else is not a legitimate outreach.
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Senior Full Stack Developer |
python react-js django aws mysql full stack | Nov 01 2020 | ||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
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About us What we’re looking for
And these will score you some bonus points if you have some knowledge and experience of them:
In addition, we’ll likely get along really well if you:
What you’ll be doing
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Director of Applied Research / Data Science |
data science executive python cs machine learning nlp | Oct 28 2020 | ||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
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At Scribd (pronounced “scribbed”), we believe reading is more important than ever. Join our cast of characters as we build the world’s largest and most fascinating digital library: giving subscribers access to a growing collection of ebooks, audiobooks, magazines, documents, Scribd Originals and more. In addition to works from major publishers and top authors. Our community includes over 1.4M subscribers in nearly every country worldwide. Our data science team is digesting terabytes of data, making sense of it, and delivering key insights that drive both business and product decisions. The team works on every aspect of the business so you’ll touch everything we do and have an impact on all aspects of Scribd. Reporting to the Head of Data Science, you will assume leadership of a team that currently includes two Data Scientists. We anticipate that this team will grow to as many as seven over the next year or so. Initially, the role will include individual contributor work, but that should diminish as the team expands. At present one Data Scientist focuses on machine learning and the other on payments and fraud. However, we are open to your suggestions for organizing the team and work moving forward. The team is involved in a lot of activities, including product science, A/B test design, exploratory analyses, modeling and more. You'll oversee the team, providing technical support, managing performance, training/coaching, assigning work, monitoring progress, and more. The team is expected to: * Provide decision support to the whole company by doing analysis, building predictive models, creating reports - doing whatever it takes - to support data needs across the organization. * Becoming domain experts in all aspects of the Scribd business, product, and data model; use this expertise to provide advice to all teams in the usage of our data. * Solve ambiguous problems. * Collaborate with stakeholders to determine the highest-impact opportunities. You have:
Ideally you have:
At Scribd, we value people above everything else. We're building a diverse workplace and an inclusive culture to give more people the chance to change the way the world reads. Scribd is proud to be an equal opportunity employer and considers all qualified applicants for employment without regard to race, color, religion, age, sex, sexual orientation, gender, gender identity, national origin, disability, veteran status or any other legally protected characteristic. We encourage people of all backgrounds to apply because we believe that a diverse set of perspectives and experiences create a foundation for the best ideas. Come join us in building something meaningful.
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NLP Engineer |
nlp python machine learning | Oct 22 2020 | ||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
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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?
If you are interested in learning more about this company or any Startups/Small Businesses in the area, please contact us and check us out here!! We are an equal opportunity employer and value diversity at our company. We do not discriminate on the basis of race, religion, color, national origin, gender, sexual orientation, age, marital status, veteran status, or disability status
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Senior Automation Engineer |
senior java nlp testing dot net cs | Oct 16 2020 | ||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
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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 2020 | ||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
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Atlassian is continuing to hire with all interviewing and on-boarding done virtually due to COVID-19. All new and existing Atlassians will continue to work from home until it’s safe to return to our offices. When our offices re-open, every Atlassian will have the choice to work from an office or from home. Atlassian is a fast-paced, rapidly growing company and our Intelligent Automations team focuses on automations to enable all of Atlassian to scale. The Automation Engineer role within Intelligent Automation team is responsible for all aspects of developing and deploying Process Automations across various modules in order to meet requirements that are unique to Atlassian's business model. This includes developing appropriate documentation for development, technical, implementation and test activities. More about You: You are a self-starter, motivated, data-driven, passionate about quality and efficiency in your work. You’ll work closely with Solution Architects to prepare Development and Test Stories and support and maintain various environments and deliver robust & scalable business process automations. On your first day, we'll expect you to have: · 4+ years of experience in programming (including scripting/coding), SQL and relational databases, and application development · Solid Programming skills using J2EE or C# or .NET, Design Patterns, SOAP/ REST Web Services, Spring Framework and Python · Experience in developing, testing and deployment of RPA bots using UiPath and/or strong BPMN experience. Preferred Qualification: · Experience in AWS(SQS and Kinesis) · Hands on experience in one of the following: Mulesoft, Camunda and Workato · Experience with Process Analysis, Solution Design, and Implementation, support junior developers implementing best practices, Business and Technical requirements, Problem-Solving, and System(s) · Experience in maintaining Dev/Test/Stage environments including performing common maintenance activities, setting up alerting, logging and upgrading assets as needed. · Strong scripting experience, NLP modeling · BE/BTECH/BSc Degree or equivalent experience More about our team The Intelligent Automations team handles process automation across the entire Atlassian organisation, which means taking a broad approach by demonstrating the combination of existing and new complementary technological capabilities to automate end to end business processes to help Atlassian scale. Presently our team is focused on the following areas: · Robotic Process Automation (RPA) · Integration Platform · Technology incubation More about our benefits Whether you work in an office or a distributed team, Atlassian is highly collaborative and yes, fun! To support you at work (and play) we offer some fantastic perks: ample time off to relax and recharge, flexible working options, five paid volunteer days a year for your favourite cause, an annual allowance to support your learning & growth, unique ShipIt days, a company paid trip after five years and lots more. More about Atlassian Creating software that empowers everyone from small startups to the who’s who of tech is why we’re here. We build tools like Jira, Confluence, Bitbucket, and Trello to help teams across the world become more nimble, creative, and aligned—collaboration is the heart of every product we dream of at Atlassian. From Amsterdam and Austin, to Sydney and San Francisco, we’re looking for people who want to write the future and who believe that we can accomplish so much more together than apart. At Atlassian, we’re committed to an environment where everyone has the autonomy and freedom to thrive, as well as the support of like-minded colleagues who are motivated by a common goal to: Unleash the potential of every team. Additional Information We believe that the unique contributions of all Atlassians is the driver of our success. To make sure that our products and culture continue to incorporate everyone's perspectives and experience we never discriminate on the basis of race, religion, national origin, gender identity or expression, sexual orientation, age, or marital, veteran, or disability status. All your information will be kept confidential according to EEO guidelines. Learn more about Atlassian’s culture, interviewing flow, and hiring process by checking out our Candidate Resource Hub.
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Engineering Lead, Full Stack |
full stack docker cloud aws azure frontend | Oct 08 2020 | ||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
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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
Who you are
Bonus We are looking for someone who matches our level of joy for the work we do, brings something new to the team, and elevates our game. Our core values are very important to us and we hope they resonate with you, too. You can read more about them here! Benefits Working at Respondent is a unique experience. You will be part of a remote, diverse team. We care deeply about creating a cohesive, tight-knit culture that gets results. That’s why we offer our employees the following: - Work remotely from anywhere in a continental U.S. Time Zone (we are not able to accommodate continuous travel e.g. digital nomadism, remote year, etc.) - A full office set up, including a MacBook Pro, desk, second screen, ergonomic chair, and wireless mouse & keyboard - Health insurance for U.S based employees with premiums covered at 99% for individuals and 50% for dependents (non U.S. employees receive a healthcare stipend) - Short term disability covered at 100% for all U.S based employees - Dental and vision insurance offered at group rates to lower the cost for U.S based employees - Four weeks of flexible paid vacation per year (need a bit more for religious or country holidays--no problem!) - 12 paid holidays per year - Stock options - 401k (no matching) Only U.S based employees can participate - Parental leave - 12 weeks fully paid with an additional optional 4 weeks unpaid - Company retreats for teammates to get to know one another in person (recent locations include New Orleans, San Antonio, and Wickenburg)! Respondent is an equal opportunity employer We understand it takes a diverse team of highly intelligent, passionate, curious, and creative people to solve the challenges involved in Respondent's long term success. Our dynamic team members have incredible perspectives to share, just as we know you do, and we take great pride in being an equal opportunity workplace and encourage candidates from underrepresented backgrounds to apply.
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Backend Engineer |
python backend javascript machine learning nlp big data | Oct 03 2020 | ||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
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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?
What do we expect from you?
Contract duration.
TrustYou has engineering excellence in its DNA. Our employees are experts in big data, machine learning, natural language processing, interactive JavaScript applications, and web technologies. Our tech stack is varied and modern! TrustYou is an equal opportunity employer - We celebrate diversity and we are committed to creating an inclusive environment for all employees. Different makes us better.
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Sr. Technical Lead Engineer |
python cloud aws azure testing api | Sep 14 2020 | ||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
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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:
A Sr Technical Lead Engineer who, as an individual contributor:
What You’ll Bring: A Sr Technical Lead Engineer is someone who:
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.
Note to Recruiters and Placement Agencies: We do not accept unsolicited agency resumes. RAIN is an Equal Opportunity Employer and is committed to fair and equitable hiring practices. All hiring decisions at RAIN are based on strategic business needs, job requirements, and individual qualifications. All candidates are considered without regard to race, color, religion, gender, sexuality, national origin, age, disability, genetics, or any other protected status.
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Software Engineer |
python javascript html css machine learning testing | Sep 08 2020 | ||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
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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?
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 |
python data science machine learning nlp docker aws | Aug 18 2020 | ||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
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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:
Skills and Abilities:
Basic Qualifications:
Preferred Qualifications:
Preferred Locations:
Auth0 safeguards more than 4.5 billion login transactions each month and its top priorities are availability and security. We like to think that we are helping make the internet safer. Our team is spread across more than 35 countries and we are proud to continually be recognized as a great place to work. Culture is critical to us, and we are transparent about our vision and principles. Auth0 is an Equal Employment Opportunity employer. Auth0 conducts all employment-related activities without regard to race, religion, color, national origin, age, sex, marital status, sexual orientation, disability, citizenship status, genetics, or status as a Vietnam-era special disabled and other covered veteran status, or any other characteristic protected by law. Auth0 participates in E-Verify and will confirm work authorization for candidates residing in the United States.
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Applied Scientist - Machine Learning |
machine learning python c cs computer vision nlp | Jul 19 2020 | ||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
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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
Qualifications
Benefits & Perks
We are an equal opportunity employer. We welcome people of different backgrounds, experiences, abilities and perspectives. Qualified applicants will receive consideration for employment without regard to race, color, religion, sex, national origin, sexual orientation, gender identity, disability or protected veteran status. For Sofia/UK roles: All job applications will be treated and processed with strict confidentiality and in full compliance with the GDPR provisions. We are an equal opportunity employer and value diversity at our company. We do not discriminate on the basis of race, religion, color, national origin, gender, sexual orientation, age, marital status, veteran status, or disability status.
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Senior Engineer, Full Stack |
full stack senior docker cloud aws azure | Jun 26 2020 | ||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
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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
Who you are
Bonus We are looking for someone who matches our level of joy for the work we do, brings something new to the team, and elevates our game. Our core values are very important to us and we hope they resonate with you, too. You can read more about them here! Benefits Working at Respondent is a unique experience. You will be part of a remote, diverse team. We care deeply about creating a cohesive, tight-knit culture that gets results. That’s why we offer our employees the following: - Work remotely from anywhere in a continental U.S. Time Zone (we are not able to accommodate continuous travel e.g. digital nomadism, remote year, etc.) - A full office set up, including a MacBook Pro, desk, second screen, ergonomic chair, and wireless mouse & keyboard - Health insurance for U.S based employees with premiums covered at 99% for individuals and 50% for dependents (non U.S. employees receive a healthcare stipend) - Short term disability covered at 100% for all U.S based employees - Dental and vision insurance offered at group rates to lower the cost for U.S based employees - Four weeks of flexible paid vacation per year (need a bit more for religious or country holidays--no problem!) - 12 paid holidays per year - Stock options - 401k (no matching) Only U.S based employees can participate - Company retreats for teammates to get to know one another in person (recent locations include New Orleans, San Antonio, and Wickenburg)! Respondent is an equal opportunity employer We understand it takes a diverse team of highly intelligent, passionate, curious, and creative people to solve the challenges involved in Respondent's long term success. Our dynamic team members have incredible perspectives to share, just as we know you do, and we take great pride in being an equal opportunity workplace and encourage candidates from under represented backgrounds to apply.
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VP of Machine Learning |
machine learning computer vision healthcare nlp | Jun 10 2020 | ||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
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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
Qualifications
Benefits & Perks
We are an equal opportunity employer. We welcome people of different backgrounds, experiences, abilities and perspectives. Qualified applicants will receive consideration for employment without regard to race, color, religion, sex, national origin, sexual orientation, gender identity, disability or protected veteran status. For Sofia:All job applications will be treated and processed with strict confidentiality and in full compliance with the GDPR provisions. We are an equal opportunity employer and value diversity at our company. We do not discriminate on the basis of race, religion, color, national origin, gender, sexual orientation, age, marital status, veteran status, or disability status.
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Director of Machine Learning Research |
machine learning executive computer vision healthcare nlp | Jun 10 2020 | ||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
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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
Qualifications
Benefits & Perks
We are an equal opportunity employer. We welcome people of different backgrounds, experiences, abilities and perspectives. Qualified applicants will receive consideration for employment without regard to race, color, religion, sex, national origin, sexual orientation, gender identity, disability or protected veteran status. For Sofia:All job applications will be treated and processed with strict confidentiality and in full compliance with the GDPR provisions. We are an equal opportunity employer and value diversity at our company. We do not discriminate on the basis of race, religion, color, national origin, gender, sexual orientation, age, marital status, veteran status, or disability status.
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Research Engineer |
python c cs computer vision nlp healthcare | May 11 2020 | ||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
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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
Qualifications
Benefits & Perks
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 |
python data science machine learning nlp docker aws | Apr 17 2020 | ||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
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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
BASIC QUALIFICATIONS
PREFERRED QUALIFICATIONS
SKILLS AND ABILITIES
PREFERRED LOCATIONS
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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