Research Science

We are designing the future. If you are in quest of an iterative fast-paced environment, where you can drive innovation through scientific inquiry, and provide tangible benefit to hundreds of thousands of our associates worldwide, this is your opportunity.Come work on the Amazon Worldwide Fulfillment Design & Engineering Team! We are looking for an exceptional Principal Reliability Engineer, someone that is excited to work on complex real-world challenges for which a comprehensive scientific approach is necessary to drive solutions. Your investigations will include identifying and mitigating reliability risks resulting in design and implementation of safe and reliable fulfillment center designs.We are seeking a Principal Reliability Scientist who will be responsible to lead reserach specific to reliability for Amazon Fulfillment Facilities.Key job responsibilitiesa. Employing a Failure based approach to develop and implement both analytical and empirical methods for identifying and evaluating reliability risks at the stages of facility design, MHE selection, and deployment.b. Lead research activities related Design for Reliability (DfR) initiatives for a warehouse, Develop predictive modelling techniques, and test plans. c. Lead AI-powered reliability solutions that combine data, machine learning, and domain knowledge about asset operations to help anticipate reliability risks, increase uptime, manage CapEx and OpEx costs, and improve productivity.d. Identifying gaps in current Reliability standards and guidelines, and lead comprehensive research to redefine “industry best practices” based on solid scientific foundations.e. Continuously strive to gain in-depth knowledge of your profession, as well as branch out to learn about intersecting fields, such as robotics and mechatronics.f. Travelling to our various sites to perform thorough assessments and gain in-depth operational feedback, approximately 25%-50% of the time.g. Regular communication with Executive management regarding status, risks and operational program metrics.BASIC QUALIFICATIONS- PhD or Master’s degree with 10+ years of relevant work in Reliability Engineering or related field - Design, Manufacturing or Materials Engineering experience in Automotive, Industrial, or High-Tech industries- Experience in Automotive, Industrial or High-Tech hardware Reliability Engineering roles - Bachelor's degree in Engineering / Science or related field -- Knowledge of reliability prediction software such as Weibull ++.- DOE skills - Broad range of failure analysis skills:- Experience with mechanical and electrical reliability tests of Automotive, Industrial products- Experience designing reliability methodologies ...

Project Kuiper is an initiative to increase global broadband access through a constellation of 3,236 satellites in low Earth orbit (LEO). Its mission is to bring fast, affordable broadband to unserved and underserved communities around the world. Project Kuiper will help close the digital divide by delivering fast, affordable broadband to a wide range of customers, including consumers, businesses, government agencies, and other organizations operating in places without reliable connectivity.Key job responsibilitiesThis position is part of the Satellite Attitude Determination and Control team. You will design and analyze the control system and algorithms, support development of our flight hardware and software, help integrate the satellite in our labs, participate in flight operations, and see a constellation of satellites flow through the production line in the building next door.You will design and analyze algorithms for estimation, flight control, and precise pointing using linear methods and simulation. Along with that will be plenty of work developing and applying models and simulations, with various levels of fidelity, of the satellite and our constellation. The labs in our building provide for component level environmental testing, functional and performance checkout, subsystem integration, and satellite integration up to Day in the Life testing and mission rehearsal. We are excited to get into space, so you can look forward to seeing your designs launch and fly soon!A day in the lifeThis is an opportunity to play a significant role in the design of an entirely new satellite system with challenging performance requirements. The large, integrated constellation brings opportunities for advanced capabilities that need investigation and development. The constellation size also puts emphasis on engineering excellence so our tools and methods, from conceptualization through manufacturing and all phases of test, will be state of the art as will the satellite and supporting infrastructure on the ground.You will find that Kuiper's mission is compelling, so our program is staffed with some of the top engineers in the industry. Our daily collaboration with other teams on the program brings constant opportunity for discovery, learning, and growth.About the teamOur team has lots of experience with various satellite systems and many other flight vehicles. We have bench strength in both our mission and core GNC disciplines. We design, prototype, test, iterate and learn together. Because GNC is central to safe flight, we tend to drive Concepts of Operation and many system level analyses.BASIC QUALIFICATIONS- PhD, or Master's degree and 5+ years of quantitative field research experience- 3+ years of investigating the feasibility of applying scientific principles and concepts to business problems and products experience- Experience communicating qualitative research methods and findings to non-qualitative researchers ...

Do you enjoy solving challenging problems and driving innovations in research? Do you want to create scalable optimization models and apply machine learning techniques to guide real-world decisions? We are looking for builders, innovators, and entrepreneurs who want to bring their ideas to reality and improve the lives of millions of customers.As a Research Science intern focused on Operations Research and Optimization intern, you will be challenged to apply theory into practice through experimentation and invention, develop new algorithms using modeling software and programming techniques for complex problems, implement prototypes and work with massive datasets. As you navigate through complex algorithms and data structures, you'll find yourself at the forefront of innovation, shaping the future of Amazon's fulfillment, logistics, and supply chain operations.Imagine waking up each morning, fueled by the excitement of solving intricate puzzles that have a direct impact on Amazon's operational excellence. Your day might begin by collaborating with cross-functional teams, exchanging ideas and insights to develop innovative solutions. You'll then immerse yourself in a world of data, leveraging your expertise in optimization, causal inference, time series analysis, and machine learning to uncover hidden patterns and drive operational efficiencies.Throughout your journey, you'll have access to unparalleled resources, including state-of-the-art computing infrastructure, cutting-edge research papers, and mentorship from industry luminaries. This immersive experience will not only sharpen your technical skills but also cultivate your ability to think critically, communicate effectively, and thrive in a fast-paced, innovative environment where bold ideas are celebrated.Amazon has positions available for Operations Research Science Internships in, but not limited to, Bellevue, WA; Boston, MA; Cambridge, MA; New York, NY; Santa Clara, CA; Seattle, WA; Sunnyvale, CA.Key job responsibilitiesWe are particularly interested in candidates with expertise in: Optimization, Causal Inference, Time Series, Algorithms and Data Structures, Statistics, Operations Research, Machine Learning, Programming/Scripting Languages, LLMsIn this role, you ain hands-on experience in applying cutting-edge analytical techniques to tackle complex business challenges at scale. If you are passionate about using data-driven insights to drive operational excellence, we encourage you to apply.The ideal candidate should possess the ability to work collaboratively with diverse groups and cross-functional teams to solve complex business problems. A successful candidate will be a self-starter, comfortable with ambiguity, with strong attention to detail and the ability to thrive in a fast-paced, ever-changing environment.A day in the lifeDevelop and apply optimization, causal inference, and time series modeling techniques to drive operational efficiencies and improve decision-making across Amazon's fulfillment, logistics, and supply chain operationsDesign and implement scalable algorithms and data structures to support complex optimization systemsLeverage statistical methods and machine learning to uncover insights and patterns in large-scale operations dataPrototype and validate new approaches through rigorous experimentation and analysisCollaborate closely with cross-functional teams of researchers, engineers, and business stakeholders to translate research outputs into tangible business impactBASIC QUALIFICATIONS- Are enrolled in a PhD in operations research, applied mathematics, theoretical computer science, or equivalent- Are 18 years of age or older- Work 40 hours/week minimum and commit to 12 week internship maximum- Can relocate to where the internship is based ...

Are you up to the task of delivering innovative solutions that manages a supply chain of millions of unique products involving hundreds of thousands of suppliers and tens of millions of customers around the world? Amazon’s Strategic Sourcing team is looking for Senior Operations Research Scientists to build Amazon’s next generation of inventory planning and supply chain solutions. We are part of Supply Chain Optimization Technologies (SCOT): https://www.youtube.com/watch?v=ncwsr1Of6Cw&feature=youtu.be Our systems use real time, large scale optimization techniques to automatically procure and source the product from suppliers and optimize the flow of goods across the supply chain to minimize the cost and lead time for customers. Our team is focused on saving hundreds of millions of dollars using cutting edge science, machine learning, and scalable distributed software on the Cloud that automates and optimizes supply chain under the uncertainty of demand, pricing and supply. We are unique in that we’re simultaneously developing the science of supply chain planning and solving some of the toughest computational challenges at Amazon. Unlike many companies who buy existing off-the-shelf planning systems, we are responsible for studying, designing, and building systems to suit Amazon’s needs. Our team members have an opportunity to be on the forefront of supply chain thought leadership by working on some of the most difficult problems in the industry with some of the best product managers, research scientists/statisticians/economists and software developers in the business.We are seeking an experienced research scientist. Candidate will be responsible for developing solutions to better manage/optimize the flow of inventory in Amazon's network world wide. This position will focus on identifying and analyzing opportunities to improve existing algorithms and also on the next generation of Amazon’s inventory supply chain optimization systems. This position requires superior analytical thinkers, able to quickly approach large ambiguous problems and apply their technical and statistical knowledge to identify opportunities for further research. You should be able to independently mine and analyze data, and be able to use any necessary programming and statistical analysis software to do so. Successful candidates must thrive in fast-paced environments which encourage collaborative and creative problem solving, be able to measure and estimate risks, constructively critique peer research, and align research focuses with the Amazon’s strategic needs. In joining our team, you'll enjoy a highly competitive salary, growth, working closely with smart engineers and researchers along with other benefits. We have a creative and comfortable work environment and this is your opportunity to be part of a fast-paced and growing technology team.Key job responsibilitiesSupply chain management, optimization, operations research, machine learning, reinforcement learningBASIC QUALIFICATIONS- PhD in operations research, applied mathematics, theoretical computer science, or equivalent- 5+ years of industry or academic research experience- Communication: Able to convey mathematical results in plain English, being able to clarify and formalize complex problems. Functional thought leader, sought after for key tech decisions.- Knowledge of programming languages such as C/C++, Python, Java or Perl to prototype the research ideas ...

Help re-invent how millions of people watch TV! Fire TV remains the #1 best-selling streaming media player in the US. Our goal is to be the global leader in delivering entertainment inside and outside the home, with the broadest selection of content, devices and experiences for customers.Our science team works at the intersection of Recommender Systems, Information Retrieval, Machine Learning and Natural Language Understanding. We leverage techniques from all these fields to create novel algorithms that allow our customers to engage with the right content at the right time. Our work directly contributes to making our devices delightful to use and indispensable for the household.As a Research Scientist, you will be responsible for the natural language understanding models for Fire TV use cases. Your work will directly impact our customers in the form of novel products and services that make use of speech and language technology. Key job responsibilities- Ensure data quality throughout all stages of acquisition and processing, including areas such as data sourcing / collection, ground truth generation, normalization, transformation, cross-lingual alignment / mapping, etc. - Clean, analyze and select data to achieve goals - Build and release models that elevate the customer experience and track impact over time - Design and run experiments, evaluate the impact of your optimizations, and communicate the results to various business stakeholders- Collaborate with colleagues from science, engineering and business backgrounds - Present proposals and results in a clear manner backed by data and coupled with actionable conclusions - Work with engineers to develop efficient data querying infrastructure for both offline and online use cases- Be a member of the Amazon-wide Machine Learning community, participating in internal and external meet ups, hackathons, and conferencesBASIC QUALIFICATIONS- PhD, or Master's degree and 4+ years of quantitative field research experience- Experience investigating the feasibility of applying scientific principles and concepts to business problems and products- Experience analyzing both experimental and observational data sets- Experience with any programming language such as Python, Java, C++- Experience in machine learning, statistics, and deep learning ...

The AWS Neuron Compiler team is actively seeking applied scientists to join our efforts in developing a state-of-the-art deep learning compiler stack. This stack is designed to optimize application models across diverse domains, including Large Language and Vision, originating from leading frameworks such as PyTorch, TensorFlow, and JAX. Your role will involve working closely with our custom-built Machine Learning accelerators, including Inferentia/Trainium, which represent the forefront of AWS innovation for advanced ML capabilities, powering solutions like Generative AI.The Automated Reasoning Group in the AWS Neuron Compiler team works on the intersection of Artificial Intelligence and program analysis to raise the code quality bar in compiler stack. In this role as an Applied Scientist, you'll be instrumental in designing, developing, and deploying analyzers for ML compiler stages and compiler IRs. You will contribute to the design and semantics of DSLs that our customers love when crafting neural architexctures. You will architect and implement business-critical tooling, publish cutting-edge research, and mentor a brilliant team of experienced scientists and engineers. You will need to be technically capable, credible, and curious in your own right as a trusted AWS Neuron engineer, innovating on behalf of our customers. Your responsibilities will involve tackling crucial challenges alongside a talented engineering team, contributing to leading-edge design and research in compiler technology and deep-learning systems software. Strong experience in programming languages, compilers, program analyzers, and program synthesis engines will be a benefit in this role.A background in machine learning and AI accelerators is preferred but not required. We expect a strong publication record in compilers, IR semantics, static analysis or verification.A day in the lifeDiverse ExperiencesAWS values diverse experiences. Even if you do not meet all of the qualifications and skills listed in the job description, we encourage candidates to apply. If your career is just starting, hasn’t followed a traditional path, or includes alternative experiences, don’t let it stop you from applying. Why AWS?Amazon Web Services (AWS) is the world’s most comprehensive and broadly adopted cloud platform. We pioneered cloud computing and never stopped innovating — that’s why customers from the most successful startups to Global 500 companies trust our robust suite of products and services to power their businesses.Inclusive Team CultureHere at AWS, it’s in our nature to learn and be curious. Our employee-led affinity groups foster a culture of inclusion that empower us to be proud of our differences. Ongoing events and learning experiences, including our Conversations on Race and Ethnicity (CORE) and AmazeCon (gender diversity) conferences, inspire us to never stop embracing our uniqueness.Mentorship & Career GrowthWe’re continuously raising our performance bar as we strive to become Earth’s Best Employer. That’s why you’ll find endless knowledge-sharing, mentorship and other career-advancing resources here to help you develop into a better-rounded professional. Work/Life BalanceWe value work-life harmony. Achieving success at work should never come at the expense of sacrifices at home, which is why we strive for flexibility as part of our working culture. When we feel supported in the workplace and at home, there’s nothing we can’t achieve in the cloud. Hybrid WorkWe value innovation and recognize this sometimes requires uninterrupted time to focus on a build. We also value in-person collaboration and time spent face-to-face. Our team affords employees options to work in the office every day or in a flexible, hybrid work model near one of our U.S. Amazon offices.BASIC QUALIFICATIONS* PhD in computer science or a related field* A strong publication record* Track record in hands-on compiler or tool development ...

Are you inspired by invention? Is problem solving through teamwork in your DNA? Do you like the idea of seeing how your work impacts the bigger picture? Answer yes to any of these and you’ll fit right in here at Amazon Robotics. We are a smart team of doers that work passionately to apply cutting edge advances in robotics and software to solve real-world challenges that will transform our customers’ experiences in ways we can’t even imagine yet. We invent new improvements every day. We are Amazon Robotics and we will give you the tools and support you need to invent with us in ways that are rewarding, fulfilling and fun.Amazon Robotics is seeking Applied Science Interns and Co-ops with a passion for robotic research to work on cutting edge algorithms for robotics. Our team works on challenging and high-impact projects within robotics. Examples of projects include allocating resources to complete a million orders a day, coordinating the motion of thousands of robots, autonomous navigation in warehouses, identifying objects and damage, and learning how to grasp all the products Amazon sells. As an Applied Science Intern/Co-op at Amazon Robotics, you will be working on one or more of our robotic technologies such as autonomous mobile robots, robot manipulators, and computer vision identification technologies. The intern/co-op project(s) and the internship/co-op location are determined by the team the student will be working on.Please note that by applying to this role you would be considered for Applied Scientist summer intern, spring co-op, and fall co-op roles on various Amazon Robotics teams. These teams work on robotics research within areas such as computer vision, machine learning, robotic manipulation, navigation, path planning, perception, optimization and more. Learn more about Amazon Robotics: https://amazon.jobs/en/teams/amazon-roboticsBASIC QUALIFICATIONS- Currently enrolled in a Master's or PhD program in Computer Science, Robotics, Engineering, Machine Learning, Operations Research, Mathematics, or a related quantitative field- Degree program must be based in the United States with an expected graduation of December 2025 or later- Must be eligible for and available for full-time (40 hours per week) internship in person based out of the assigned office location for the whole duration of the internship/co-op- Relevant academic research or industry experience within Robotics, Computer Vision, Machine Learning, Optimization, Manipulation, Perception, Motion Planning and Controls, Movement, Autonomous Navigation, Path Planning, or related- Experience programming in Java, C++, Python, or related ...

The AWS Neuron Compiler team is actively seeking applied scientists to join our efforts in developing a state-of-the-art deep learning compiler stack. This stack is designed to optimize application models across diverse domains, including Large Language and Vision, originating from leading frameworks such as PyTorch, TensorFlow, and JAX. Your role will involve working closely with our custom-built Machine Learning accelerators, including Inferentia/Trainium, which represent the forefront of AWS innovation for advanced ML capabilities, powering solutions like Generative AI.The Automated Reasoning Group in the AWS Neuron Compiler team works on the intersection of Artificial Intelligence and program analysis to raise the code quality bar in compiler stack. In this role as an Applied Scientist, you'll be instrumental in designing, developing, and deploying analyzers for ML compiler stages and compiler IRs. You will contribute to the design and semantics of DSLs that our customers love when crafting neural architexctures. You will architect and implement business-critical tooling, publish cutting-edge research, and mentor a brilliant team of experienced scientists and engineers. You will need to be technically capable, credible, and curious in your own right as a trusted AWS Neuron engineer, innovating on behalf of our customers. Your responsibilities will involve tackling crucial challenges alongside a talented engineering team, contributing to leading-edge design and research in compiler technology and deep-learning systems software. Strong experience in programming languages, compilers, program analyzers, and program synthesis engines will be a benefit in this role.A background in machine learning and AI accelerators is preferred but not required. We expect a strong publication record in compilers, IR semantics, static analysis or verification.A day in the lifeAWS Utility Computing (UC) provides product innovations — from foundational services such as Amazon’s Simple Storage Service (S3) and Amazon Elastic Compute Cloud (EC2), to consistently released new product innovations that continue to set AWS’s services and features apart in the industry. As a member of the UC organization, you’ll support the development and management of Compute, Database, Storage, Internet of Things (Iot), Platform, and Productivity Apps services in AWS, including support for customers who require specialized security solutions for their cloud services.Diverse ExperiencesAWS values diverse experiences. Even if you do not meet all of the qualifications and skills listed in the job description, we encourage candidates to apply. If your career is just starting, hasn’t followed a traditional path, or includes alternative experiences, don’t let it stop you from applying. Why AWS?Amazon Web Services (AWS) is the world’s most comprehensive and broadly adopted cloud platform. We pioneered cloud computing and never stopped innovating — that’s why customers from the most successful startups to Global 500 companies trust our robust suite of products and services to power their businesses.Inclusive Team CultureHere at AWS, it’s in our nature to learn and be curious. Our employee-led affinity groups foster a culture of inclusion that empower us to be proud of our differences. Ongoing events and learning experiences, including our Conversations on Race and Ethnicity (CORE) and AmazeCon (gender diversity) conferences, inspire us to never stop embracing our uniqueness.Mentorship & Career GrowthWe’re continuously raising our performance bar as we strive to become Earth’s Best Employer. That’s why you’ll find endless knowledge-sharing, mentorship and other career-advancing resources here to help you develop into a better-rounded professional. Work/Life BalanceWe value work-life harmony. Achieving success at work should never come at the expense of sacrifices at home, which is why we strive for flexibility as part of our working culture. When we feel supported in the workplace and at home, there’s nothing we can’t achieve in the cloud. BASIC QUALIFICATIONS- PhD- Experience programming in Java, C++, Python or related language- Experience with neural deep learning methods and machine learning ...

About Amazon HealthAmazon Health’s mission is to make it dramatically easier for customers to access the healthcare products and services they need to get and stay healthy. Towards this mission, we (Health Storefront and Shared Tech) are building the technology, products and services, that help customers find, buy, and engage with the healthcare solutions they need.Job summaryWe are seeking an exceptional Senior Applied Scientist to join a team of experts in the field of Health Economics and Health Outcomes Research to work together to break new ground in the world of healthcare to make personalized and empathetic care accessible, convenient, and cost-effective. You will build and deploy state-of-the-art ML models for individual customer and population-level outcomes. You will work with clinical, product, and finance partners to test and deploy models to develop new product offerings and recommend solutions to address customer health care needs. You will work in a highly collaborative environment where you can pursue both near-term productization opportunities to make immediate, meaningful customer impacts while pursuing ambitious, long-term research. You will work on hard science problems that have not been solved before, conduct rapid prototyping to validate your hypothesis, and deploy your algorithmic ideas at scale. You will get the opportunity to pursue work that makes people's lives better and pushes the envelop of science. #everydaybetterKey job responsibilities- Translate Product, Finance and Clinical business and healthcare problems into scientific questions - Build and leverage data pipelines for training and evaluating ML models- Design, implement, and optimize the best-in-class machine learning solutions for forecasting and behavior change- Design and conduct live experiments to validate model performance- Deploy ML solutions into existing and new customer-facing systems and business processesA day in the lifeIn a fast-paced innovation environment, you work closely with product, finance, and clinical teams to understand customer's and business challenges. You translate product and business requirements into science problems. You dive deep into challenging science problems, access and analyze data, and enabling new ML solutions to impact customer experiences. You identify hypothesis and conduct rapid prototyping to learn quickly. You develop and deploy models at scale to pursue productizations. You mentor junior science team members and help influence our org in scientific best practices.About the teamWe are the Health Measurement Science team at HST (Health Store and Technology). The team consists of Scientists and Economists with experience in varied industries, including health care. We are committed to building and deploying the most advanced scientific capabilities and solutions for the products and services at Amazon Health.BASIC QUALIFICATIONS- 3+ years of building machine learning models for business application experience- PhD in engineering, technology, computer science, machine learning, robotics, operations research, statistics, mathematics or equivalent quantitative field, or Master's degree and 6+ years of building machine learning models for business application experience- Knowledge of programming languages such as C/C++, Python, Java or Perl ...

Do you want to be part of the team developing the future technology that impacts the customer experience of ground-breaking products? Then come join us and make history.We are looking for a passionate, talented, and inventive Applied Scientist with a background in AI, Gen AI, Machine Learning, NLP, to help build LLM solutions for Amazon core shopping.Our team works on a variety of projects, including state of the art generative AI, LLM finetuning, alignment, prompt engineering, benchmarking solutions.Key job responsibilitiesAs an Applied Scientist will be expected to work on state of the art technologies which will result in papers publications, however you will not be only theorizing about the algorithms, but you will also have the opportunity to implement them and see how they behave in the field.This is an incredible opportunity to validate your research on one of the most exciting Amazon AI products, where assumptions can be tested against real business scenarios and supported by an abundance of data.BASIC QUALIFICATIONS- Experience programming in Java, C++, Python or related language- Experience with SQL and an RDBMS (e.g., Oracle) or Data Warehouse- Advanced degree in computer science, mathematics, statistics, machine learning or equivalent quantitative field ...

We’re on the lookout for the curious, those who think big and want to define the world of tomorrow. At Amazon, you will grow into the high impact, visionary person you know you’re ready to be. Every day will be filled with exciting new challenges, developing new skills, and achieving personal growth. How often can you say that your work changes the world? At Amazon, you’ll say it often. Join us and define tomorrow.We are looking for smart scientists capable of using a variety of domain expertise to invent, design, evangelize, and implement state-of-the-art solutions for never-before-solved problems in the space of Automated Reasoning and Artificial Intelligence. A successful candidate will be a self-starter comfortable with ambiguity, strong attention to detail, and the ability to work in a fast-paced, ever-changing environment. As an Applied Scientist, you will own the design and development of end-to-end systems. You’ll have the opportunity to write technical white papers, create technical roadmaps, and drive production level projects that will support Amazon Science. You will work closely with other Amazon scientists and engineers. The ideal scientist must have the ability to work with diverse groups of people and cross-functional teams to solve sometimes ambiguous and complex business problems.Amazon Science gives insight into the company’s approach to customer-obsessed scientific innovation. Amazon fundamentally believes that scientific innovation is essential to being the most customer-centric company in the world. It’s the company’s ability to have an impact at scale that allows us to attract some of the brightest minds in artificial intelligence and related fields. Our scientist use our working backwards method to enrich the way we live and work.Key job responsibilitiesKey job responsibilities* Develop systems that can be used for automated software analysis and artificial intelligence* Develop core tools and algorithms that can be reused * Help lead the development of new ideas and mentor individualsAbout the teamAWS Utility Computing (UC) provides product innovations — from foundational services such as Amazon’s Simple Storage Service (S3) and Amazon Elastic Compute Cloud (EC2), to consistently released new product innovations that continue to set AWS’s services and features apart in the industry. As a member of the UC organization, you’ll support the development and management of Compute, Database, Storage, Internet of Things (Iot), Platform, and Productivity Apps services in AWS, including support for customers who require specialized security solutions for their cloud services.Diverse ExperiencesAWS values diverse experiences. Even if you do not meet all of the qualifications and skills listed in the job description, we encourage candidates to apply. If your career is just starting, hasn’t followed a traditional path, or includes alternative experiences, don’t let it stop you from applying. Why AWS?Amazon Web Services (AWS) is the world’s most comprehensive and broadly adopted cloud platform. We pioneered cloud computing and never stopped innovating — that’s why customers from the most successful startups to Global 500 companies trust our robust suite of products and services to power their businesses.Inclusive Team CultureHere at AWS, it’s in our nature to learn and be curious. Our employee-led affinity groups foster a culture of inclusion that empower us to be proud of our differences. Ongoing events and learning experiences, including our Conversations on Race and Ethnicity (CORE) and AmazeCon (gender diversity) conferences, inspire us to never stop embracing our uniqueness.Mentorship & Career GrowthWe’re continuously raising our performance bar as we strive to become Earth’s Best Employer. That’s why you’ll find endless knowledge-sharing, mentorship and other career-advancing resources here to help you develop into a better-rounded professional. Work/Life BalanceWe value work-life harmony. Achieving success at work should never come at the expense of sacrifices at home, which is why we strive for flexibility as part of our working culture. When we feel supported in the workplace and at home, there’s nothing we can’t achieve in the cloud. Hybrid WorkWe value innovation and recognize this sometimes requires uninterrupted time to focus on a build. We also value in-person collaboration and time spent face-to-face. Our team affords employees options to work in the office every day or in a flexible, hybrid work model near one of our U.S. Amazon offices.BASIC QUALIFICATIONS- PhD, or Master's degree and 4+ years of CS, CE, ML or related field experience- 3+ years of building models for business application experience- Experience in patents or publications at top-tier peer-reviewed conferences or journals- Experience programming in Java, C++, Python or related language- Experience in any of the following areas: algorithms and data structures, parsing, numerical optimization, data mining, parallel and distributed computing, high-performance computing ...

Are you inspired by invention? Is problem solving through teamwork in your DNA? Do you like the idea of seeing how your work impacts the bigger picture? Answer yes to any of these and you’ll fit right in here at Amazon Robotics. We are a smart team of doers that work passionately to apply cutting edge advances in robotics and software to solve real-world challenges that will transform our customers’ experiences in ways we can’t even imagine yet. We invent new improvements every day. We are Amazon Robotics and we will give you the tools and support you need to invent with us in ways that are rewarding, fulfilling and fun. The Research Science team at Amazon Robotics is seeking interns with a passion for robotic research to work on cutting edge algorithms for robotics. Our team works on challenging and high-impact projects, including allocating resources to complete a million orders a day, coordinating the motion of thousands of robots, autonomous navigation in warehouses, and learning how to grasp all the products Amazon sells. We are seeking internship candidates with backgrounds in computer vision, machine learning, resource allocation, discrete optimization, search, planning/scheduling, and reinforcement learning. As an intern you will develop a new algorithm to solve one of the challenging computer vision and manipulation problems in Amazon's robotic warehouses. Your project will fit your academic research experience and interests. You will code and test out your solutions in increasingly realistic scenarios and iterate on the idea with your mentor to find the best solution to the problem. BASIC QUALIFICATIONS- Currently enrolled in a PhD program in Computer Science, Engineering, Machine Learning, Operations Research or similar with a graduation date after December 2025- Must be available and eligible for a full-time (40h/week) internship between May/June and August/September 2025- At least two years of relevant academic research in state-of-the-art approaches for at least one of computer vision, resource allocation, optimization, planning, machine learning, or reinforcement learning- Fluency in at least one statistical software package such as R, Stata, or Matlab- Experience with programming languages such as Java, C++, Python ...

As part of the AWS solutions organization, we have a vision to provide business applications, leveraging Amazon's unique experience and expertise, that are used by millions of companies worldwide to manage day-to-day operations. We will accomplish this by accelerating our customers' businesses through delivery of intuitive and differentiated technology solutions that solve enduring business challenges. we blend vision with curiosity and Amazon's real-world experience to build opinionated, turnkey solutions. Where customers prefer to buy over build, we become their trusted partner with solutions that are no-brainers to buy and easy to use.AWS Industry Products (IP) is a new AWS engineering organization chartered to build new AWS products by applying Amazon’s innovation mechanisms along with AWS digital technologies to transform the world, industry by industry. We dive deep with leaders and innovators to solve the problems which block their industries, enabling them to capitalize on new digital business models. Simply put, our goal is to use the skill and scale of AWS to make the benefits of a connected world achievable for all businesses. We are looking for an Applied Scientist who are passionate about transforming industries through AI. This is a unique opportunity to not only listen to industry customers but also to develop AI and generative AI expertise in multiple core industries. You will join a team of scientists, product managers and software engineers that builds AI solutions in automotive, manufacturing, healthcare, sustainability/clean energy, and supply chain/operations domains. Leveraging and advancing generative AI technology will be a big part of your charter as we seek to apply the latest advancements in generative AI to industry-specific problems.Key job responsibilitiesUsing your in-depth expertise in machine learning and generative AI, you will deliver reusable science components and services that differentiate our industry products and solve customer problems. You will be the voice of scientific rigor, delivery, and innovation as you work with our segment teams on AI-driven product differentiators. You will conduct and advance research in AI and generative AI within and outside Amazon.About the teamDiverse ExperiencesAWS values diverse experiences. Even if you do not meet all of the preferred qualifications and skills listed in the job description, we encourage candidates to apply. If your career is just starting, hasn’t followed a traditional path, or includes alternative experiences, don’t let it stop you from applying. Why AWS?Amazon Web Services (AWS) is the world’s most comprehensive and broadly adopted cloud platform. We pioneered cloud computing and never stopped innovating — that’s why customers from the most successful startups to Global 500 companies trust our robust suite of products and services to power their businesses.Inclusive Team CultureHere at AWS, it’s in our nature to learn and be curious. Our employee-led affinity groups foster a culture of inclusion that empower us to be proud of our differences. Ongoing events and learning experiences, including our Conversations on Race and Ethnicity (CORE) and AmazeCon (gender diversity) conferences, inspire us to never stop embracing our uniqueness.Mentorship & Career GrowthWe’re continuously raising our performance bar as we strive to become Earth’s Best Employer. That’s why you’ll find endless knowledge-sharing, mentorship and other career-advancing resources here to help you develop into a better-rounded professional. Work/Life BalanceWe value work-life harmony. Achieving success at work should never come at the expense of sacrifices at home, which is why we strive for flexibility as part of our working culture. When we feel supported in the workplace and at home, there’s nothing we can’t achieve. BASIC QUALIFICATIONS- PhD, or Master's degree and 6+ years of applied research experience- 3+ years of building machine learning models for business application experience- Experience programming in Java, C++, Python or related language- Experience with neural deep learning methods and machine learning ...

AWS Infrastructure Services owns the design, planning, delivery, and operation of all AWS global infrastructure. In other words, we’re the people who keep the cloud running. We support all AWS data centers and all of the servers, storage, networking, power, and cooling equipment that ensure our customers have continual access to the innovation they rely on. We work on the most challenging problems, with thousands of variables impacting the supply chain — and we’re looking for talented people who want to help. You’ll join a diverse team of software, hardware, and network engineers, supply chain specialists, security experts, operations managers, and other vital roles. You’ll collaborate with people across AWS to help us deliver the highest standards for safety and security while providing seemingly infinite capacity at the lowest possible cost for our customers. And you’ll experience an inclusive culture that welcomes bold ideas and empowers you to own them to completion.Are you excited to prototype and launch customer-facing sustainability products? Do you have experience delivering data-driven sustainability solutions at scale? The AWS Infrastructure Sustainability Tech team is seeking a passionate, results-oriented Sr. Applied Scientist to contribute to the research, prototyping, and delivery of customer-facing sustainability products. The AWS Infrastructure Sustainability Tech organization builds solutions to integrate sustainability data across AWS infrastructure and operations and support AWS customer’s sustainability goals, AWS’ progress towards net zero carbon goal, renewable energy management, and other cross-cutting sustainability objectives. A successful candidate will have high influence across teams and sustainability stakeholders to make strategic trade-offs between short term opportunities and long term customer and industry trends. You will partner with AWS service, infrastructure (data centers), and Sustainability stakeholders to build AWS Sustainability products and influence partner teams. The role requires excellent communication skills to drive consensus across stakeholders, as well as the ability to thrive in ambiguous problem spaces. You'll partner with various AWS teams to build sustainability products and influence strategic decisions. This high-impact position offers visibility at the highest levels of AWS leadership and the chance to make a significant contribution to our sustainability efforts. If you're passionate about leveraging science and technology to enable a low-carbon future and are ready to tackle real-world problems without ready-made solutions, we encourage you to apply and join our team of world-leading experts in shaping the future of sustainable cloud computing.Additionally, excellent communication, stakeholder management, and problem-solving skills are essential, as is the ability to translate complex sustainability and energy data into customer-facing products. With visibility at the highest levels of AWS leadership, this is an opportunity to make a lasting mark on our sustainability efforts and help unlock the full potential of the AWS Cloud to enable a low-carbon future. If you are a seasoned applied scientist professional excited to drive transformative change, we encourage you to apply.Key job responsibilities- Design, implement, test, deploy, and maintain innovative data and machine learning solutions to accelerate our business.- Collaborate with scientists, engineers, product managers, and stakeholders to design and implement software solutions for science problems- Lead the early investigative / inception phase of strategic sustainability initiatives and effectively influence, negotiate, and communicate with stakeholders to enable hand off of those projects for implementation.-Able to move quickly to building prototypes to unblock core use cases across domains. About the team*Why AWS*Amazon Web Services (AWS) is the world’s most comprehensive and broadly adopted cloud platform. We pioneered cloud computing and never stopped innovating — that’s why customers from the most successful startups to Global 500 companies trust our robust suite of products and services to power their businesses.*Diverse Experiences*Amazon values diverse experiences. Even if you do not meet all of the preferred qualifications and skills listed in the job description, we encourage candidates to apply. If your career is just starting, hasn’t followed a traditional path, or includes alternative experiences, don’t let it stop you from applying.*Work/Life Balance*We value work-life harmony. Achieving success at work should never come at the expense of sacrifices at home, which is why we strive for flexibility as part of our working culture. When we feel supported in the workplace and at home, there’s nothing we can’t achieve in the cloud.*Inclusive Team Culture*Here at AWS, it’s in our nature to learn and be curious. Our employee-led affinity groups foster a culture of inclusion that empower us to be proud of our differences. Ongoing events and learning experiences, including our Conversations on Race and Ethnicity (CORE) and AmazeCon (gender diversity) conferences, inspire us to never stop embracing our uniqueness.*Mentorship and Career Growth*We’re continuously raising our performance bar as we strive to become Earth’s Best Employer. That’s why you’ll find endless knowledge-sharing, mentorship and other career-advancing resources here to help you develop into a better-rounded professional.BASIC QUALIFICATIONS- 3+ years of building machine learning models for business application experience- PhD, or Master's degree and 5+ years of applied research experience- Experience programming in Java, C++, Python or related language- Experience in applied research- Experience in building machine learning models for business application ...

The North America Capacity Planning team in Amazon Stores' Supply Chain organization is charged with planning, managing, and optimizing the use of inbound, storage, and fulfillment capacity in North America. Optimal planning and usage of this capacity is critical in enabling us to deliver several billion items annually at continually lower costs and higher speeds. The decision space extends from tactical short-term actions (what capacity constraints do we face next week and how do we alleviate them?) to large-scale long-term strategy (what kind of fulfillment capacity should we invest in, where, over the next three years?). The team works in close partnership with several other business and tech teams to develop capacity plans, and ensure the delivery and optimal use of fulfillment capacity. As a Principal Research Scientist in this team, you will interact with subject matter experts within and outside the team, as well as scientists in a range of partner organizations, to develop scientific models for capacity planning and optimization. You will leverage these models to influence senior leadership to make high-impact decisions that are critical to building Amazon's future supply chain. You will also be an active participant in the overall Amazon scientific community, generating intellectual capital, participating in reviews and conferences, publishing in internal and external venues, and incorporating scientific rigor in the team's practices. Key job responsibilities- Develop scientific models for large-scale fulfillment capacity planning under uncertainty- Partner with stakeholder science teams for development and use of their scientific models for various aspects of capacity planning such as demand estimation, inventory flows, and multi-echelon supply chain management- Develop strategic plans for long-term capacity investments, in close collaboration with subject matter experts within and outside the team- Influence senior leadership on large-scale one-way capital and technological investments for designing our future fulfillment network- Partner with scientists across Amazon in developing scientific models that jointly optimize the Amazon supply chain BASIC QUALIFICATIONS- 10+ years of tech industry or equivalent experience- Experience with complex supply chains (>100 facilities, >1000 routes)- PhD in a quantitative discipline such as operations research, industrial engineering, computer science, economics, or an equivalent quantitative field. ...

Amazon’s Last Mile Team is looking for a passionate individual with strong optimization and analytical skills to join its Last Mile Science team in the endeavor of designing and improving the most complex planning of delivery network in the world. Last Mile builds global solutions that enable Amazon to attract an elastic supply of drivers, companies, and assets needed to deliver Amazon's and other shippers' volumes at the lowest cost and with the best customer delivery experience. Last Mile Science team owns the core decision models in the space of jurisdiction planning, delivery channel and modes network design, capacity planning for on the road and at delivery stations, routing inputs estimation and optimization. Our research has direct impact on customer experience, driver and station associate experience, Delivery Service Partner (DSP)’s success and the sustainable growth of Amazon. Optimizing the last mile delivery requires deep understanding of transportation, supply chain management, pricing strategies and forecasting. Only through innovative and strategic thinking, we will make the right capital investments in technology, assets and infrastructures that allows for long-term success. Our team members have an opportunity to be on the forefront of supply chain thought leadership by working on some of the most difficult problems in the industry with some of the best product managers, scientists, and software engineers in the industry. Key job responsibilitiesCandidates will be responsible for developing solutions to better manage and optimize delivery capacity in the last mile network. The successful candidate should have solid research experience in one or more technical areas of Operations Research or Machine Learning. These positions will focus on identifying and analyzing opportunities to improve existing algorithms and also on optimizing the system policies across the management of external delivery service providers and internal planning strategies. They require superior logical thinkers who are able to quickly approach large ambiguous problems, turn high-level business requirements into mathematical models, identify the right solution approach, and contribute to the software development for production systems. To support their proposals, candidates should be able to independently mine and analyze data, and be able to use any necessary programming and statistical analysis software to do so. Successful candidates must thrive in fast-paced environments, which encourage collaborative and creative problem solving, be able to measure and estimate risks, constructively critique peer research, and align research focuses with the Amazon's strategic needs. As an applied scientist, you will also help coach/mentor junior scientists in the team.BASIC QUALIFICATIONS- 1+ years of programming in Java, C++, Python or related language experience- PhD, or Master's degree and 4+ years of CS, CE, ML or related field experience- Experience building machine learning models or developing algorithms for business application- Experience programming in Java, C++, Python or related language- Experience in any of the following areas: algorithms and data structures, parsing, numerical optimization, data mining, parallel and distributed computing, high-performance computing ...

At AWS Health AI, we leverage AI to revolutionize healthcare and if you are passionate to make a global-scale difference in Health, we have an opportunity for you. AWS Health AI is seeking a inventive and talented Applied Scientist to join forces in the area of Natural Language Processing, Genomics, Medical Imaging or Biomedical. We are on a mission to use Gen-AI and build new innovative solutions for Healthcare and Life Sciences users. You will be involved in the entire product development cycle including customer discovery, experimentation, design, prototyping. Whats cool? You will collaborate with team of ML-focused SDEs to productionalize these solutions. Our ideal candidates thrives in ambiguity, build collaborative relationships, moves fast, and are passionate about meaningful work. They will have the technical skills to design and build complex distributed systems that runs at AWS scale. They prefer working on small, focused teams, own their product, and love to pitch in anywhere to get the job done. They lead by example and the team naturally gravitate towards them because of their engineering expertise and decision-making ability. They can communicate effectively with a wide variety of audiences and are comfortable pitching new ideas.We are looking for candidates who thrive in an exciting, fast-paced environment and who have a strong personal interest in learning, researching, and creating new technologies with high customer impact. You will have an opportunity to influence product and leaders. As an Applied Scientist you will partner with talented scientists and engineers to design, train, test, and deploy machine learning models. You will contribute to innovative features, improve our services based on customer requirements and help maintain a highly scalable data and model management infrastructure that supports cutting-edge research. You will be responsible for translating business and engineering requirements into deliverables and software products.Prior domain knowledge in speech, natural language processing, or computer vision is strongly preferred; solid knowledge of fundamentals of statistics, machine learning, and deep learning is required. Candidates should possess strong software engineering skills and several years of industry experience.Key job responsibilities- Applying latest deep learning and natural language processing techniques to ship new features for our customer- Convert ambiguous business questions into precise science problems- Regularly ship deep learning models and natural language processing models that run at AWS scale- Collaborate with engineers, clinical experts and product managers to deliver your solutionsWhat You'll Do:* Collaborate with a team of Clinical experts, researchers and engineers in solving complex healthcare challenges* Develop novel algorithms and modeling techniques for multimodal systems* Apply latest deep learning, Gen AI and natural language processing techniques to build model-based solutions in Health domain* Collaborate with cross-functional teams to create impactful products and services. Convert ambiguous business questions into precise science problem, and share insights/learnings from your experimentation to help product direction.* Conduct cutting-edge research and publish in top-tier conferences and journalsWhat We're Looking For:* Strong background in deep learning and multimodal systems* Passion for applying AI to healthcare challenges* Ability to lead and mentor research teams* Experience in developing scalable, secure AI/ML systems* Expertise in areas such as medical imaging, medical notes, ontologies, genomics, or clinical decision supportAbout the teamThis team is responsible for building classical as well as GenAI solutions that directly integrate as solutions for HealthCare and Life Science users.Why AWS?Amazon Web Services (AWS) is the world’s most comprehensive and broadly adopted cloud platform. We pioneered cloud computing and never stopped innovating — that’s why customers from the most successful startups to Global 500 companies trust our robust suite of products and services to power their businesses.Diverse ExperiencesAWS values diverse experiences. Even if you do not meet all of the qualifications and skills listed in the job description, we encourage candidates to apply. If your career is just starting, hasn’t followed a traditional path, or includes alternative experiences, don’t let it stop you from applying.Inclusive Team CultureHere at AWS, it’s in our nature to learn and be curious. Our employee-led affinity groups foster a culture of inclusion that empower us to be proud of our differences. Ongoing events and learning experiences, including our Conversations on Race and Ethnicity (CORE) and AmazeCon (gender diversity) conferences, inspire us to never stop embracing our uniqueness.Mentorship & Career GrowthWe’re continuously raising our performance bar as we strive to become Earth’s Best Employer. That’s why you’ll find endless knowledge-sharing, mentorship and other career-advancing resources here to help you develop into a better-rounded professional.Work/Life BalanceWe value work-life harmony. Achieving success at work should never come at the expense of sacrifices at home, which is why we strive for flexibility as part of our working culture. When we feel supported in the workplace and at home, there’s nothing we can’t achieve in the cloud.Hybrid WorkWe value innovation and recognize this sometimes requires uninterrupted time to focus on a build. We also value in-person collaboration and time spent face-to-face. Our team affords employees options to work in the office every day or in a flexible, hybrid work model near one of our U.S. Amazon offices.BASIC QUALIFICATIONS- 3+ years of building machine learning models for business application experience- PhD, or Master's degree and 6+ years of applied research experience- Experience programming in Java, C++, Python or related language- Experience with neural deep learning methods and machine learning ...

Amazon is seeking an outstanding scientist with strong analytical and communication skills to identify opportunities to develop complex optimization models that will redefine the standards of operation in our North American transportation network. Amazon transportation encompasses all of the operations that deliver shipments from our fulfillment centers and third party locations to customers worldwide.We develop scalable and robust state-of-the-art optimization models and algorithms, and what-if scenario planning simulation tools to make long term transportation capacity and volume planning decisions that considers varying demand patterns, costs, and operational constraints.We are looking for an Applied Scientist with background in Operations Research, Optimization, Supply Chain, Industrial & Systems Engineering and/or Simulation.In this role, you will have an opportunity to both develop advanced scientific solutions, and drive critical customer and business impacts. You will play a key role to drive end-to-end solutions from understanding our business requirements, exploring a large amount of historical data, building, managing and improving optimization, simulation and decision models, building prototypes and products, and exploring conceptually new solutions, to working with partner teams for prod deployment that will be used primarily for Capacity Optimization and Scenario Planning Capabilities for mid to long-term transportation volume planning. You will collaborate closely with scientists, product management peers as well as business stakeholders. You are an individual with outstanding analytical abilities, excellent communication skills, and are comfortable working with cross-functional teams and systems. You will be responsible for researching, prototyping, experimenting, analyzing prescriptive optimization models and developing smart automation solutions.Key job responsibilities- Research, design, prototype, experiment and implement advanced optimization algorithms and models to address challenging business problems by using modeling languages such as Python; participate in the production level deployment- Collaborate with cross-functional teams including Product management, Business Intelligence Engineering, and Supply Chain/Transportation Planning to translate model insights into actionable business strategies- Develop and maintain optimization frameworks, libraries, and tools to enable scalable and efficient optimization and automation capabilities - Analyze optimization results, identify bottlenecks, and continuously improve the performance and accuracy of optimization models - Stay up-to-date on the latest academic research and industry best practices in optimization techniques and tools, and identify opportunities to apply new approaches- Create and track accuracy and performance metrics (both technical and business metrics)- Create, enhance, and maintain technical documentation, and present to other scientists, engineers and business leaders- Drive best practices on the team; mentor and guide junior members to achieve their career growth potentialBASIC QUALIFICATIONS- 3+ years of building models for business application experience- PhD, or Master's degree and 4+ years of CS, CE, ML or related field experience- Experience in patents or publications at top-tier peer-reviewed conferences or journals- Experience programming in Java, C++, Python or related language- Experience in any of the following areas: algorithms and data structures, parsing, numerical optimization, data mining, parallel and distributed computing, high-performance computing- Experience in optimization: linear, non-linear, mixed-integer, large-scale, network, robust, stochastic and/or dynamic ...

The Amazon Private Brands’ Discovery team develops innovative machine learning solutions to enhance customer awareness of Amazon's private brands and help customers discover products they love. This interdisciplinary team of scientists and engineers incubates and builds disruptive technologies, tackling some of the most complex scientific challenges at Amazon. To achieve this, we leverage a wide range of advanced techniques, including Natural Language Processing (NLP), deep learning, large language models (LLMs), multi-armed bandits, reinforcement learning, Bayesian optimization, causal and statistical inference, and econometrics, to drive discovery throughout the customer journey. Our solutions are not only critical to the success of Amazon's private brands but also serve as a leading example of discovery technologies across Amazon. We are seeking a Principal Scientist to join our team and lead the development of cutting-edge machine learning models and algorithms that will drive innovative discovery solutions for Amazon Private Brands. In this hands-on role, you will apply your expertise to propose solutions, create software prototypes, and successfully transition these prototypes into production systems using modern software development tools and methodologies. You will also be responsible for scaling these solutions to meet the growing and evolving needs of our customers. As a Principal Scientist, you will play a pivotal role in shaping the vision, design, and roadmap for complex, previously unsolved problems, guiding solutions from inception to implementation. Strong verbal and written communication skills, a self-driven mindset, and the ability to deliver high-quality results in a fast-paced environment are essential for success in this role.Key job responsibilitiesYou will be responsible for defining key research directions, adopting or inventing new machine learning techniques, conducting rigorous experiments, publishing results, and ensuring that research is translated into practice. You will develop long-term strategies, persuade teams to adopt those strategies, propose goals and deliver on them. You will also participate in organizational planning, hiring, mentorship and leadership development. You have a passion for building scalable science and engineering solutions. You will serve as a key scientific resource in full-cycle development (conception, design, implementation, testing to documentation, delivery, and maintenance).BASIC QUALIFICATIONS- 10+ years minimum of hands-on science application experience- PhD in a relevant technical field (or equivalent experience in some cases)- Strong publication track record ...

Are you interested in revolutionizing the way people around the world enjoy live sports video? Come and join us and be part of the Prime Video Playback team. As a video scientist, you will: - Drive novel live encoding optimization to ensure the best live sports streaming experience delivered to millions of global customers.- Utilize the state-of-the-art computer vision and machine learning techniques to achieve content adaptive live sports encoding to maximize quality per bits at Amazon scale.- Innovate in video quality measurement, video content analysis, and video compression technologies to lead the video industry/community.Key job responsibilitiesAs a video scientist in the Prime Video Playback, this person shall:- Get familiar with the latest development and advances in video processing, video compression, and computer vision and machine learning to video understanding and analysis- Build research prototypes in live sports video content analysis, objective and subjective video quality measurement, and content-adaptive live video encoding.- Document and present technical proposals and implementations to both internal and external stakeholders and partners. - Work closely with engineering and product team to prioritize technology prototyping, productization and deploymentA day in the lifeAs a video scientist in the Prime Video Playback, you will:- Research and prototype innovative ideas in live sports content analysis, quality measurement, and content-adaptive live video encoding.- Drive technical approach and innovation via proof-of-concept prototyping, paper/report writing, technical presentations and patent filing- Collaborate with and influence product and engineering teams for technology productization and deployment About the teamPrime Video is a first-stop entertainment destination offering customers a vast collection of premium programming in one application available across thousands of devices. On Prime Video, customers can find their favorite movies, series, documentaries, and live sports – including Amazon MGM Studios-produced series and movies Road House, The Lord of the Rings: The Rings of Power, Fallout, Reacher, The Boys, and The Idea of You; licensed fan favorites Dawson’s Creek and IF; Prime member exclusive access to coverage of live sports including Thursday Night Football, WNBA, and NWSL, and acclaimed sports documentaries including Bye Bye Barry and Federer; and programming from partners such as Apple TV+, Max, Crunchyroll and MGM+ via Prime Video add-on subscriptions, as well as more than 500 free ad-supported (FAST) Channels. Prime members in the U.S. can share a variety of benefits, including Prime Video, by using Amazon Household. Prime Video is one benefit among many that provides savings, convenience, and entertainment as part of the Prime membership. All customers, regardless of whether they have a Prime membership or not, can rent or buy titles, including blockbusters such as Challengers and The Fall Guy, via the Prime Video Store, and can enjoy content such as Jury Duty and Bosch: Legacy free with ads on Freevee. Customers can also go behind the scenes of their favorite movies and series with exclusive X-Ray access. For more info visit www.amazon.com/primevideo.BASIC QUALIFICATIONS- 3+ years of investigating the feasibility of applying scientific principles and concepts to business problems and products experience- PhD, or Master's degree and 5+ years of quantitative field research experience- Experience with big data technologies such as AWS, Hadoop, Spark, Pig, Hive etc.- Experience communicating qualitative research methods and findings to non-qualitative researchers ...