Alexa

US, CA, East Palo Alto

We are looking for a senior audio applied scientist to work on real-time transcriptions of conversational audio.The Advanced Technology Group, within the Amazon Chime team is the cornerstone of the AWS Center for Audio and Video Excellence. Our charter is to think big, re-imagine, re:Invent, problem solve, innovate and deliver novel, state-of-the-art solutions to audio and video problems. We are interested in all aspects of audio and video technology, and we leverage the latest Machine Learning (ML) and Signal Processing (DSP) techniques to surprise and delight our customers. Our applications include real-time audio/video communications, audio/video scene analysis, anomaly detection, audio/speech/music/image/video processing, enhancement, analysis, synthesis and coding.We reach our customers in multiple ways. Our work feeds directly into the Amazon Chime SDK, which now has worldwide adoption and rapid growth. We also contribute Amazon Chime Meetings and power other AWS and Amazon multimedia offerings. In addition, we are building and launching new standalone AWS cloud services to put our technology directly into the hands of builders and customers. We have the nimbleness of a small startup outfit, but, at the same time, the immense resources of AWS - the world leader in cloud computing - behind us as well. If you want to have a profound and direct impact on the end customer experience, this is the team to be on!We have a world-class, award-winning team of research scientists, applied scientists, research engineers and software engineers, and we are looking to hire in all of these job families.Inclusive Team CultureHere at AWS, we embrace our differences. We are committed to furthering our culture of inclusion. We have ten employee-led affinity groups, reaching 40,000 employees in over 190 chapters globally. We have innovative benefit offerings, and host annual and ongoing learning experiences, including our Conversations on Race and Ethnicity (CORE) and AmazeCon (gender diversity) conferences. Amazon’s culture of inclusion is reinforced within our 14 Leadership Principles, which remind team members to seek diverse perspectives, learn and be curious, and earn trust.Work/Life BalanceOur team puts a high value on work-life balance. It isn’t about how many hours you spend at home or at work; it’s about the flow you establish that brings energy to both parts of your life. We believe striking the right balance between your personal and professional life is critical to life-long happiness and fulfillment. We offer flexibility in working hours and encourage you to find your own balance between your work and personal lives.Mentorship & Career GrowthOur team is dedicated to supporting new members. We have a broad mix of experience levels and tenures, and we’re building an environment that celebrates knowledge sharing and mentorship. Our senior members enjoy one-on-one mentoring and thorough, but kind, code reviews. We care about your career growth and strive to assign projects based on what will help each team member develop into a better-rounded engineer and enable them to take on more complex tasks in the future.

Economist

US, CA, San Diego

Amazon.com strives to be Earth's most customer-centric company where people can find and discover anything they want to buy online. We hire the world's brightest minds, offering them a fast paced, technologically sophisticated and friendly work environment.Economists at Amazon will be expected to work directly with senior management on key business problems faced in retail, international retail, cloud computing, third party merchants, search, Kindle, streaming video, and operations. Amazon economists will apply the frontier of economic thinking to market design, pricing, forecasting, program evaluation, online advertising and other areas. You will build econometric models, using our world class data systems, and apply economic theory to solve business problems in a fast moving environment. Economists at Amazon will be expected to develop new techniques to process large data sets, address quantitative problems, and contribute to design of automated systems around the company.

Data Scientist

GB, London

This position can be located in London, Madrid, Milan, Luxemburg, Berlin, officesAmazon is seeking an experienced, self-directed data scientist to support the research and analytical needs of Amazon Web Services' Sales teams. This is a unique opportunity to invent new ways of leveraging our large, complex data streams to automate sales efforts and to accelerate our customers' journey to the cloud. This is a high-visibility role with significant impact potential.About AWS:Amazon Web Services (AWS) provides companies of all sizes with an infrastructure web services platform in the cloud (“cloud computing”). With AWS you can requisition compute power, storage, and many other services – gaining access to a suite of elastic IT infrastructure services as your business demands them. AWS is the leading platform for designing and developing applications for the cloud and is growing rapidly with hundreds of thousands of companies in over 190 countries on the platform.As a Data Scientist at AWS you will work with a team of business analysts and engineers to define business problems. You will deliver quantitative research and develop predictive models in an Agile research and development environment and collaborate with central economics, machine learning, data engineering, sales operations, finance, other analytics teams, and business partners (customers) to ensure the most efficient and effective allocation of resources to tackle our team's agenda. You will use AWS services like SageMaker to build scalable ML models in the cloud and you will support the analytical needs of the team inclusive of routine reporting, statistical inference, predictive modeling and simulationDo you have the analytical skills to pull actionable insights from some of the world’s largest data sets? Do you have the natural curiosity to look for answers to questions that haven’t even been asked yet?Come build the future with us.

Senior Research Scientist

US, WA, Seattle

Amazon's Marketing Science team (a part of Customer Behavior Analytics) is looking for a seasoned research scientist with strong technical skills in statistical modeling, preferably causal inference to drive methodology improvements for large-scale marketing measurement (TV, Digital) using customer-level data.The successful candidate will be a daring hands-on self-starter, comfortable with ambiguity, humble to seek feedback and learn from peers (scientists, economists, marketing practitioners), bold to think big, has solid attention to detail and believes in challenging themselves to raise the bar continuously. The scientist will develop production models using customer-level panel data on advertising exposure to identify the causal impact of Amazon marketing. They will work closely with media and portfolio teams to understand business needs and with a sister engineering team to productionalize solutions. The ML models will improve the efficiency of billions of dollars of marketing spend.This role requires an individual with strong quantitative modeling skills and the ability to apply statistical/machine learning, econometric, and good coding skills.The candidate should have strong communication skills to work closely with stakeholders to translate business needs into methodology and data-driven findings into actionable insights. The successful candidate will be a self-starter comfortable with ambiguity, with strong attention to detail, and ability to work in a fast-paced and ever-changing environment.Overall, the candidate’s responsibilities include:· Design and build scalable analytic solutions using ML models to measure the financial impact of cross channel marketing spend· Work with the data acquisition team on data requirements· Ensuring that state of the art statistical methods and machine learning technology are deployed to measure effectiveness of video advertising on social media· Work closely with both business units and engineering teams to formulate measurement problems and associated technical solution strategies· Develop a library of measurement, decision making and machine learning algorithms to enable data-driven decision making· Support engineering teams to build tools and applications on our unique big data platform to efficiently generate and deploy insights into decision-making systems at Amazon· Raise the bar on applications of machine learning for advertising measurement and optimization

Senior Applied Scientist - Ad Products

US, CA, San Francisco

About Us:Launched in 2011, Twitch is a global community that comes together each day to create multiplayer entertainment: unique, live, unpredictable experiences created by the interactions of millions. We bring the joy of co-op to everything, from casual gaming to outstanding esports to anime marathons, music, and art streams. Twitch also hosts TwitchCon, where we bring everyone together to celebrate and grow their personal interests and passions. We're always live at Twitch. Keep an eye on all things Twitch on Linkedin, Twitter and on our Blog.About the Role:Twitch enables content creators to live-stream content to their communities across the globe. Advertising is a core part of Twitch's business model, and spans across almost all product areas. We take pride in our mission to help creators build communities and earn a living entertaining them. We monetize the billions of hours watched on Twitch channels by allocating the right ad, at the right moment, of the right format and experience, to the right audience. To enable the discovery of their content, we build native content-promotional marketplaces that match the best audience with their content.As a Senior Applied Scientist on the Marketplace Utilization team, you'll lead a new, multidisciplinary team of scientists and engineers to solve the hardest science problems revolving around allocation and pricing: maximize the use of our supply by making the best choices for when to run ad breaks, which format to pick, where to place them, and how to price them (for native marketplaces) in a way that equitably balances the objectives of creators, viewers, advertisers, and Twitch. This process will rely on supervised learning (predicting viewer responses), reinforcement learning (making iterative improvements to utilization based on user feedback), causal modeling (estimating long term viewer and platform impact of ads), and advanced optimization techniques (constraint and multi-objective optimization). You'll implement techniques, invent new approaches and publish novel scientific findings, while delivering impact to millions of creators and viewers. Come join us!You Will:· Establish a long-term science vision for our ad marketplace, motivated by the needs of our customers, translating that direction into specific plans for applied scientists, data scientists, and engineering and product teams.· Run the design, implementation, operation, and optimization of the utility function that underpins the entire advertising product-suite at Twitch· Design, prototype and implement Machine Learning (ML) algorithms· Develop the production data pipelines and ML pipelines on which those algorithms operate· Work with investigators, analysts, PMs and SDEs to turn ever-evolving insights about our users into automated services.· Mentor junior scientists and engineers

Sr Applied Scientist, Alexa Speech

US, WA, Seattle

Amazon is looking for an ASR domain expert, someone who will contribute to our long-term acoustic research efforts.Our mission is to push the envelope in Automatic Speech Recognition (ASR), Audio Signal Processing and Dialog Management, in order to provide the best-possible experience for our customers. Candidates can work in Seattle OR Sunnyvale!As a Senior Speech and Language Scientist, you will work with talented peers to research ASR and contribute to our long-term research efforts. Your work will directly impact our customers in the form of products and services that make use of speech and language technology. You will leverage Amazon’s heterogeneous data sources and large-scale computing resources to accelerate advances in spoken language understanding.

Senior Manager, Data Science

US, WA, Seattle

In Amazon Prime Video, we are working to deliver a best-in-class Search experience, which innovates how video discovery works on behalf of millions of customers, globally. We seek to become the first place for users to search and the best place to watch.Our talented team has been growing a Search Science team and now seeks a Senior Manager for Data Science, to manage our BI/Data function and drive the generation of insights and algorithms that will guide our technical and business decisions, improving and understanding our Search experience.You will utilize big data to understand how customer’s utilize search to find video content, work with applied scientists to develop innovative machine learning models, and manage ongoing testing on behalf of the customer to drive ongoing improvements. We are still Day One, enabling you to drive impact globally and across all Prime Video enabled devices as you build out a science-ready team focused on making Prime Video search the first place for customers to begin their content viewing discovery.As a Senior Manager of Data Science, you will recruit and lead a high quality, creative, visionary data science team. You will play a key role on the Search leadership team to set the business and technical agenda for key initiatives. You will work closely with business teams, technology teams and finance teams in Prime Video, make a huge, measurable impact to our customer experience and key metrics, delivering innovative solutions that are simple and easy to maintain and scale. You are comfortable conversing with, collaborating with and persuading product, business and technology teams alike, and are poised and polished when presenting to senior level executives.This position will:- Manage a team of Scientists to develop a search strategy and roadmap to drive a long-term revolutionary experience.- Work across teams to create/evolve machine learning models for keyword and non-keyword searches (i.e., titles, actors, directors, franchises, genres).- Use Search Science expertise to influence programs across Prime Video and Amazon Search.- Partner with the Search team's Principal DS and other Scientists in Prime Video to drive innovation, insights, action and impact for Prime Video Search.

Data Scientist

US, MA, Boston

Amazon Elastic File System (EFS) https://aws.amazon.com/efs/ is looking for a Data Scientist to dive deep into the vast data generated by a rapidly growing AWS storage service and applying current data analysis methods to produce insights that will improve customer experience, operational effectiveness, and business value. As a member of the Amazon EFS team, you’ll work closely with outstanding engineers and product managers to work hard, have fun, and create the future of cloud storage.Building a High-Performing & Inclusive Team CultureYou should be passionate about working with a world-class team that welcomes, celebrates, and leverages a diverse set of backgrounds and skillsets to deliver results. Driving results is your primary responsibility, and doing so in a way that builds on our inclusive culture is key to our long term success.Work/Life BalanceEFS values work-life balance. On normal days, our entire team is co-located in the Boston office, but we’re also flexible when people occasionally need to work from home. We generally keep core available hours from 10am to 4pm. Some of the team is available earlier and the rest of us work a little later.Energizing and Interesting Technical ProblemsYou will work in partnership with engineers on the team to build and operate large scale systems that move and transform customer volume data and accelerate access to their data. You’ll be working to provide solutions to both internal and external customers and engage deeply with other teams within EFS, S3, EC2, and many other services. It’s humbling and energizing to provide data movement solutions to customers at AWS scale.Mentorship & Career GrowthWe’re committed to the growth and development of every member of EFS, and that includes our engineers. You will have the opportunity to contribute to the culture and direction of the entire EFS org and deliver initiatives that will improve the life of all of our teams.Inclusive Team CultureHere at AWS, we embrace our differences. We are committed to furthering our culture of inclusion. We have ten employee-led affinity groups, reaching 40,000 employees in over 190 chapters globally. We have innovative benefit offerings, and host annual and ongoing learning experiences, including our Conversations on Race and Ethnicity (CORE) and AmazeCon (gender diversity) conferences.As a Data Scientist on EFS you will be curious and dive deep into performance, business, and operational metrics. You’re excited about designing solutions that scale while also engaging individual customers in understanding their applications. You’re able to think about business opportunities, operational issues, and architectural diagrams in the course of a single conversation. You’re looking for a team of bright, capable engineers to work with directly in implementing your vision while also collaborating with other data scientists across AWS.

Data Scientist

US, NY, New York

Amazon is investing heavily in building a world class advertising business and we are responsible for defining and delivering a collection of self-service performance advertising products that drive discovery and sales. Our products are strategically important to our Retail and Marketplace businesses driving long term growth. We deliver billions of ad impressions and millions of clicks daily and are breaking fresh ground to create world-class products. We are highly motivated, collaborative and fun-loving with an entrepreneurial spirit and bias for action. With a broad mandate to experiment and innovate, we are growing at an unprecedented rate with a seemingly endless range of new opportunities.The Amazon Shopper Panel team improves advertising performance through actionable measurement solutions and media recommendations that help advertisers understand how media drives customer action. Our solutions span media channels, across the entire consumer journey (awareness to advocacy) and all conversions. If you’re interested in joining a rapidly growing team working to build a unique, world-class advertising group with a relentless focus on the customer, you’ve come to the right place!As a Data Scientist, you will solve real-world problems by analyzing large amounts of business data, diving deep to identify business insights and opportunities, designing simulations and experiments, developing statistical and ML models by tailoring to business needs, and collaborating with scientists, engineers, BIE's, product managers. The successful candidate should have a strong quantitative background and excellent data analytics / math skills.

Machine Learning Scientist

DE, BE, Berlin

Amazon is looking for creative Applied Scientists to tackle some of the most interesting problems on the leading edge of Machine Learning (ML), Natural Language Processing (NLP), Question Answering (QA), and Information Retrieval (IR) with our Alexa search team. Alexa search is part of our ongoing Alexa Information efforts focused on reinventing information extraction and retrieval for a voice-forward, multi-modal future.The successful candidate will develop novel ML/NLP/QA/IR/Deep Learning technologies to make Alexa smarter. They will have a true passion for working in a collaborative, cross-functional environment that encourages thinking about optimized solutions to unique problems that do not yet have a known science solution.If you are looking for an opportunity to solve deep technical problems and build innovative solutions in a fast-paced environment working within a smart and passionate team, this might be the role for you. You will develop and implement novel algorithms and modeling techniques to leverage and advance the state-of-the-art in technology areas that are found at the intersection of ML, NLP, IR, and Deep Learning. Your work will directly impact Amazon products and services that make use of speech and language technology. You will gain hands on experience with Alexa and large-scale computing resources.In this role you will:· Work collaboratively with scientists and developers to design and implement automated, scalable NLP/ML/QA/IR models for accessing and presenting information;· Drive scalable solutions from the business, to prototyping, production testing and through engineering directly to production;· Drive best practices on the team, deal with ambiguity and competing objectives, and mentor and guide junior members to achieve their career growth potential.

Applied Scientist, Onsite Publishing

US, WA, Seattle

Are you excited about joining a team of scientists building lasting solutions for Amazon customers from the ground up? Our team is using machine learning, and statistical methods to take Amazon’s unique customer obsession culture to another level by designing solutions that change customers behavior when it comes to product search, discovery, and purchase. In order to achieve this, we need scientists who will help us build advanced algorithms that deliver first-rate user experience during customers’ shopping journeys on Amazon, and subsequently make Amazon their default starting point for future shopping journeys. These algorithms will utilize advances in Natural Language Understanding, and Computer Vision to source and understand contents that customers trust, and furnish customers with these contents in a way that is precisely tailored to their individual needs at any stage of their shopping journey.Major responsibilities:· Use statistical and machine learning techniques to create scalable and lasting systems.· Analyze and understand large amounts of Amazon’s historical business data for Recommender/Matching algorithms· Design, develop and evaluate highly innovative models for NLP.· Work closely with teams of scientists and software engineers to drive real-time model implementations and new feature creations.· Establish scalable, efficient, automated processes for large scale data analyses, model development, model validation and implementation.· Research and implement novel machine learning and statistical approaches, including NLP and Computer Vision

Applied Scientist

US, CA, East Palo Alto

Amazon Chime is a communications service that lets you meet, chat, and place business calls inside and outside your organization, all using a single application. Developers can use the same communications infrastructure and services that power Amazon Chime, and add audio calling, video calling, and screen sharing capabilities directly to their applications using the Amazon Chime SDK.We are looking for an applied scientist well versed in programming, digital signal programing, machine learning, as well as audio and video to work on the Amazon Chime Media and Networking team.Inclusive Team CultureHere at AWS, we embrace our differences. We are committed to furthering our culture of inclusion. We have ten employee-led affinity groups, reaching 40,000 employees in over 190 chapters globally. We have innovative benefit offerings, and host annual and ongoing learning experiences, including our Conversations on Race and Ethnicity (CORE) and AmazeCon (gender diversity) conferences. Amazon’s culture of inclusion is reinforced within our 14 Leadership Principles, which remind team members to seek diverse perspectives, learn and be curious, and earn trust.Work/Life BalanceOur team puts a high value on work-life balance. It isn’t about how many hours you spend at home or at work; it’s about the flow you establish that brings energy to both parts of your life. We believe striking the right balance between your personal and professional life is critical to life-long happiness and fulfillment. We offer flexibility in working hours and encourage you to find your own balance between your work and personal lives.Mentorship & Career GrowthOur team is dedicated to supporting new members. We have a broad mix of experience levels and tenures, and we’re building an environment that celebrates knowledge sharing and mentorship. Our senior members enjoy one-on-one mentoring and thorough, but kind, code reviews. We care about your career growth and strive to assign projects based on what will help each team member develop into a better-rounded engineer and enable them to take on more complex tasks in the future.

Applied Scientist

US, WA, Seattle

Amazon's Product Assurance, Risk and Security (PARS) Team is looking for a smart, energetic, and creative Applied Scientist to apply and extend state-of-the-art research in NLP, probabilistic graphs, knowledge graphs, multi-modal inputs, domain adaptation, meta-learning, and large multi-label hierarchical classification to join the Machine Learning team in Seattle. At Amazon, we are working to be the most customer-centric company on earth. Millions of customers trust us to ensure a safe shopping experience. This is an exciting and challenging position to drive research that will shape new ML solutions for product and food safety, and restricted product compliance in order to achieve best-in-class, company-wide standards around product assurance.You will analyze and process large amounts of tabular, textual, and product image data from historical orders, product detail pages, selling partner details and customer feedback, evaluate state-of-the-art algorithms and frameworks, and develop new algorithms to improve safety and compliance mechanisms. You will partner with engineers and product managers to design new ML solutions implemented across the entire Amazon product catalog.

Senior Economist, Devices

US, WA, Seattle

Device Economics (DEcon) needs a leader to advance pricing analyses and recommendation for Amazon devices. The ideal candidate will be a senior economic specialized in Empirical Industrial Organization who is passionate about advancing science to aid critical promotion decisions in the Amazon Devices org, and excited to build systems to automate this work. The role will lead science innovation and excellence for promotion to aid Devices finance and business executives.Amazon Devices designs and builds Amazon first-party consumer electronics products to delight and engage customers. Amazon Devices represents a highly complex space with 100+ products across several product categories (e-readers [Kindle], tablets [Fire Tablets], smart speakers and audio assistants [Echo], wifi routers [eero], and video doorbells and cameras [Ring and Blink]), for sale both online and in offline retailers in several regions. The space becomes more complex with dynamic product offering with new product launches, new marketplace launches, and improvements to existing devices through software improvements. The Devices Economics team leads in analyzing these complex marketplace dynamics to enable science-driven decision making in the Devices org. Device Economics achieves this by combining economic expertise with macroeconomic trends, and including both in scientific applications for use by internal analysts, to provide deep understanding of customer preferences. Our team’s outputs inform product development decisions, investments in future product categories, product pricing and promotion, and bundling across complementary product lines. We have achieved substantial impact on the Devices business, and will achieve more.Amazon devices are durable consumer goods that delight customers at purchase and over time, and exhibit complementarities across product lines and product generations. Device Economics seeks an expert in measuring customer preferences to improve the scientific recommendation of pricing and promotion schedules for devices. The space is complex due to the number of products, features of those products, and timeline of the business. This role requires proven capacity to innovate, scale measurement, and mentor talent. This pricing and promotion science leadership role has broad Devices-wide impact by advancing measurement of market dynamics, product interactions, and improving bundling, applicable across all product lines.The candidate will work closely with Amazon Devices engineering teams and other scientists to innovate in science and scale systems to execute. The candidate must be passionate about advancing science for business and customer impact.

Data Scientist II

US, WA, Seattle

Amazon’s Pricing Research team is seeking an experienced Data Scientist to help Amazon develop the next generation of analytics to support pricing across Amazon’s global marketplaces. The person in this role will work with both business stakeholder and other data analysts, scientists, and economists to create analytic pricing models and test their application through analysis of historic data and by performing and analyzing experiments. We are looking for a person who wants to use analytics to solve problems and derive solutions that directly impact Amazon’s retail and marketplace decisions. This is an opportunity for a high-energy individual to work with Amazon’s world-class data to develop approaches that have a direct impact on Amazon’s global business.The pricing research group is a team of scientists and economists who design and implement the analytics powering pricing for Amazon’s on-line retail business. The team uses world-class analytics to make sure that the prices for all of Amazon’s goods and services are aligned with Amazon’s corporate goals.This position is perfect for someone who has a deep and broad analytic background and is passionate about using analytics and economics to make a real difference. We are looking for someone who is comfortable using a broad range of mathematical approaches to both create new analytic approaches to pricing problems but who can also play a role in rigorously evaluating their effectiveness. Experience in analyzing real-world datasets is essential, and the ideal candidate will have some background in pricing analytics. We are particularly interested in candidates with backgrounds in management science, operations research, economics, statistics or machine learning.To know more about Amazon science, Please visit https://www.amazon.science

Applied Scientist

US, NY, New York

Help AWS Build the Future!Amazon AI is looking for world class scientists and engineers to join its AWS AI Labs. This group is entrusted with developing core data mining, natural language processing, deep learning, and machine learning algorithms for AWS. You will invent, implement, and deploy state of the art machine learning algorithms and systems. You will build prototypes and explore conceptually new solutions. You will interact closely with our customers and with the academic community. You will be at the heart of a growing and exciting focus area for AWS and work with other acclaimed engineers and world famous scientists.Inclusive Team CultureHere at AWS, we embrace our differences. We are committed to furthering our culture of inclusion. We have ten employee-led affinity groups, reaching 40,000 employees in over 190 chapters globally. We have innovative benefit offerings, and host annual and ongoing learning experiences, including our Conversations on Race and Ethnicity (CORE) and AmazeCon (gender diversity) conferences.Work/Life BalanceOur team puts a high value on work-life balance. It isn’t about how many hours you spend at home or at work; it’s about the flow you establish that brings energy to both parts of your life. We believe striking the right balance between your personal and professional life is critical to life-long happiness and fulfillment. We offer flexibility in working hours and encourage you to find your own balance between your work and personal lives.Mentorship & Career GrowthOur team is dedicated to supporting new members. We have a broad mix of experience levels and tenures, and we’re building an environment that celebrates knowledge sharing and mentorship. Our senior members enjoy one-on-one mentoring and thorough, but kind, code reviews. We care about your career growth and strive to assign projects based on what will help each team member develop into a better-rounded engineer and enable them to take on more complex tasks in the future.

Applied Scientist

US, NY, New York

Help AWS Build the Future!Amazon AI is looking for world class scientists and engineers to join its AWS AI Labs. This group is entrusted with developing core data mining, natural language processing, deep learning, and machine learning algorithms for AWS. You will invent, implement, and deploy state of the art machine learning algorithms and systems. You will build prototypes and explore conceptually new solutions. You will interact closely with our customers and with the academic community. You will be at the heart of a growing and exciting focus area for AWS and work with other acclaimed engineers and world famous scientists.Inclusive Team CultureHere at AWS, we embrace our differences. We are committed to furthering our culture of inclusion. We have ten employee-led affinity groups, reaching 40,000 employees in over 190 chapters globally. We have innovative benefit offerings, and host annual and ongoing learning experiences, including our Conversations on Race and Ethnicity (CORE) and AmazeCon (gender diversity) conferences.Work/Life BalanceOur team puts a high value on work-life balance. It isn’t about how many hours you spend at home or at work; it’s about the flow you establish that brings energy to both parts of your life. We believe striking the right balance between your personal and professional life is critical to life-long happiness and fulfillment. We offer flexibility in working hours and encourage you to find your own balance between your work and personal lives.Mentorship & Career GrowthOur team is dedicated to supporting new members. We have a broad mix of experience levels and tenures, and we’re building an environment that celebrates knowledge sharing and mentorship. Our senior members enjoy one-on-one mentoring and thorough, but kind, code reviews. We care about your career growth and strive to assign projects based on what will help each team member develop into a better-rounded engineer and enable them to take on more complex tasks in the future.

Applied Scientist

US, NY, New York

Help AWS Build the Future!Amazon AI is looking for world class scientists and engineers to join its AWS AI Labs. This group is entrusted with developing core data mining, natural language processing, deep learning, and machine learning algorithms for AWS. You will invent, implement, and deploy state of the art machine learning algorithms and systems. You will build prototypes and explore conceptually new solutions. You will interact closely with our customers and with the academic community. You will be at the heart of a growing and exciting focus area for AWS and work with other acclaimed engineers and world famous scientists.Inclusive Team CultureHere at AWS, we embrace our differences. We are committed to furthering our culture of inclusion. We have ten employee-led affinity groups, reaching 40,000 employees in over 190 chapters globally. We have innovative benefit offerings, and host annual and ongoing learning experiences, including our Conversations on Race and Ethnicity (CORE) and AmazeCon (gender diversity) conferences.Work/Life BalanceOur team puts a high value on work-life balance. It isn’t about how many hours you spend at home or at work; it’s about the flow you establish that brings energy to both parts of your life. We believe striking the right balance between your personal and professional life is critical to life-long happiness and fulfillment. We offer flexibility in working hours and encourage you to find your own balance between your work and personal lives.Mentorship & Career GrowthOur team is dedicated to supporting new members. We have a broad mix of experience levels and tenures, and we’re building an environment that celebrates knowledge sharing and mentorship. Our senior members enjoy one-on-one mentoring and thorough, but kind, code reviews. We care about your career growth and strive to assign projects based on what will help each team member develop into a better-rounded engineer and enable them to take on more complex tasks in the future.

Applied Scientist

US, NY, New York

Help AWS Build the Future!Amazon AI is looking for world class scientists and engineers to join its AWS AI Labs. This group is entrusted with developing core data mining, natural language processing, deep learning, and machine learning algorithms for AWS. You will invent, implement, and deploy state of the art machine learning algorithms and systems. You will build prototypes and explore conceptually new solutions. You will interact closely with our customers and with the academic community. You will be at the heart of a growing and exciting focus area for AWS and work with other acclaimed engineers and world famous scientists.Inclusive Team CultureHere at AWS, we embrace our differences. We are committed to furthering our culture of inclusion. We have ten employee-led affinity groups, reaching 40,000 employees in over 190 chapters globally. We have innovative benefit offerings, and host annual and ongoing learning experiences, including our Conversations on Race and Ethnicity (CORE) and AmazeCon (gender diversity) conferences.Work/Life BalanceOur team puts a high value on work-life balance. It isn’t about how many hours you spend at home or at work; it’s about the flow you establish that brings energy to both parts of your life. We believe striking the right balance between your personal and professional life is critical to life-long happiness and fulfillment. We offer flexibility in working hours and encourage you to find your own balance between your work and personal lives.Mentorship & Career GrowthOur team is dedicated to supporting new members. We have a broad mix of experience levels and tenures, and we’re building an environment that celebrates knowledge sharing and mentorship. Our senior members enjoy one-on-one mentoring and thorough, but kind, code reviews. We care about your career growth and strive to assign projects based on what will help each team member develop into a better-rounded engineer and enable them to take on more complex tasks in the future.

Applied Scientist

US, WA, Seattle

Amazon Web Services (AWS) provides companies of all sizes with an infrastructure services platform in the cloud (“cloud computing”). With AWS you can requisition compute power, storage, and many other services – gaining access to a suite of elastic IT infrastructure services as your business demands them. AWS is the leading platform for designing and developing applications for the cloud and is growing rapidly with hundreds of thousands of companies in over 190 countries on the platform.The Worldwide Revenue Operations Data & Analytics team uses machine learning, econometrics, and data science to optimize AWS’s service catalogue, driving customer engagement and generate insights to guide AWS sales strategy. We use detailed customer behavioral and usage data to predict and understand what customers want from AWS.We are looking for a customer obsessed Applied Scientist who can apply the latest research, state of the art algorithms and machine learning to build highly scalable models in support of predictive research and analytics. The ideal candidate will work closely with business leaders and to identify opportunities to drive business growth by applying machine learning and building out predictive models to support analytics and insights. We are looking for someone who can build scalable tools to not only process the data, but transform it into actionable information. In addition, the final candidate must possess excellent interpersonal skills, strong written communication skills, be highly collaborative, and provide thought leadership and guidance across the team.Location: Strong preference for this position to be in Seattle, but open to these additional locations: Boston. Relocation offered from within the US to any of these locations.

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