Research Science

We are seeking a scientist to further the development and application of analytics methods to examine the complex data flows of Amazon Ads and to translate deep-dives into actionable insights for our product teams. In this role you will develop new tools to analyze our advertising data to help improve the performance of our bidding algorithms, targeting and relevance systems, help advance our supply strategy, and evaluate the adoption and impact of feature releases.Key job responsibilities- Analyze data trends regarding supply, optimization, ad load, and advertising mix effects that affect advertiser performance and contribute to achieving advertiser goals- Present papers to senior leaders on issues like feature development impact on identity recognition rates, and changes of ad selection systems to improve fill rate highlighting insights that will inform our business development and engineering roadmaps- Formalize our analytics approach to Ads auctions by analyzing bid spreads, auction depth, and simulating impacts of potential auction structure changes- Identify, standardize, and operationalize KPIs to effectively measure the performance of all systems involved in ad serving, and use trend insights to inform business priorities- Partner with engineering teams to define data logging requirements and getting these prioritized in engineering roadmaps- Validate financial models through analysis- Develop and own ad revenue and supply intelligence analytics decks that provide ongoing deep-divesA day in the lifeThe Ads Scientist will work closely with business leaders and engineers on developing common data architecture that will optimize our data logging at different grains, and will allow data interoperability from bid flow to optimization to campaign delivery. The candidate will then analyze the data and present papers and ongoing reports on actionable insights.About the teamThe Ads Science Product Team's Mission: Work alongside those who need product data to apply objective perspective and business logic to uncover insights, advise strategic decisions, and adjust to industry changes.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 ...

Are you excited about developing algorithms and models to power Amazon's next generation robotic storage systems? Are you looking for opportunities to build and deploy them on real problems at truly vast scale? At Amazon Fulfillment Technologies and Robotics we are on a mission to build high-performance autonomous systems that perceive and act to further improve our world-class customer experience - at Amazon scale. We are looking for enthusiastic scientists for a variety of roles.The Research team at Amazon Robotics is seeking a passionate, collaborative, hands-on Research Scientist to develop planning and scheduling algorithms to support Amazon's next generation robotic storage systems. The focus of this position workflow optimization and robot task-assignment. It includes designing and evaluating planning and scheduling algorithms using a combination of machine learning and optimization methods as appropriate. This work spans from research such optimal decision making, to policy learning, to experimenting using simulation and modeling tools, to running large-scale A/B tests on robots in our facilities.The ideal candidate for this position will be familiar with planning or learning algorithms at both the theoretical and implementation levels. You will have the chance to solve complex scientific problems and see your solutions come to life in Amazon’s warehouses!Key job responsibilities- Research design - How should solve a particular research problem- Research delivery - Proving/dis-proving strategies in offline data or in simulation- Production studies - Insights from production data or ad-hoc experimentation- Prototype implementation - Building key parts of algorithms or model prototypesA day in the lifeOn a typical day in this role you will work to progress your research projects, meet with engineering, systems, and solutions stakeholders, brainstorm with other scientists on the team, and participate in team processes. You will follow your research projects though the entire life cycle of design, implementation, evaluation, analysis, and will communicate your findings and results through technical papers and reports. You will consult with engineering teams as they incorporate your models and analyses into system and process designs.Amazon offers a full range of benefits that support you and eligible family members, including domestic partners and their children. Benefits can vary by location, the number of regularly scheduled hours you work, length of employment, and job status such as seasonal or temporary employment. The benefits that generally apply to regular, full-time employees include: 1. Medical, Dental, and Vision Coverage 2. Maternity and Parental Leave Options 3. Paid Time Off (PTO) 4. 401(k) PlanIf you are not sure that every qualification on the list above describes you exactly, we'd still love to hear from you! At Amazon, we value people with unique backgrounds, experiences, and skillsets. If you’re passionate about this role and want to make an impact on a global scale, please apply!About the teamOur multi-disciplinary science team includes scientists with backgrounds in simulation, planning and scheduling, grasping and manipulation, machine learning, and operations research. We develop novel planning algorithms and machine learning methods and apply them to real-word robotic warehouses, including:* Planning and coordinating the paths of thousands of robots* Dynamic allocation and scheduling of tasks to thousands of robots* Learning how to adapt system behavior to varying operating conditions* Co-design of robotic logistics processes and the algorithms to optimize themOur team also serves as a hub to foster innovation and support scientists across Amazon Robotics. We also coordinate research engagements with academia, such as the Robotics section of the Amazon Research Awards.BASIC 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- Knowledge of R, MATLAB, Python or similar scripting language- Experience in planning and optimization ...

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 Amazon Web Services (AWS) Center for Quantum Computing in Pasadena, CA, is looking to hire a Quantum Research Scientist in the Test and Measurement group. You will join a multi-disciplinary team of theoretical and experimental physicists, materials scientists, and hardware and software engineers working at the forefront of quantum computing. You should have a deep and broad knowledge of experimental measurement techniques. Candidates with a track record of original scientific contributions will be preferred. We are looking for candidates with strong engineering principles, resourcefulness and a bias for action, superior problem solving, and excellent communication skills. Working effectively within a team environment is essential. As a research scientist you will be expected to work on new ideas and stay abreast of the field of experimental quantum computation.Key job responsibilitiesIn this role, you will drive improvements in qubit performance by characterizing the impact of environmental and material noise on qubit dynamics. This will require designing experiments to assess the role of specific noise sources, ensuring the collection of statistically significant data through automation, analyzing the results, and preparing clear summaries for the team. Finally, you will work with hardware engineers, material scientists, and circuit designers to implement changes which mitigate the impact of the most significant noise sources.About the teamWhy 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.AWS 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. Within AWS UC, Amazon Dedicated Cloud (ADC) roles engage with AWS customers who require specialized security solutions for their cloud services.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.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.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. Export Control Requirement:Due to applicable export control laws and regulations, candidates must be either a U.S. citizen or national, U.S. permanent resident (i.e., current Green Card holder), or lawfully admitted into the U.S. as a refugee or granted asylum, or be able to obtain a US export license. If you are unsure if you meet these requirements, please apply and Amazon will review your application for eligibility.BASIC QUALIFICATIONS- PhD, or Master's degree and 4+ years of quantitative field research experience- Broad experience in experimental measurement techniques with ability to learn new topics as needed- Excellent skills in problem solving, organization, and communication- Thrives in a collaborative environment with a diverse group while contributing to an inclusive culture- 5+ year’s experience in characterizing superconducting microwave/RF circuits ...

Are you seeking an environment where you can drive innovation? Do you want to be at the forefront of solving the toughest real-world supply chain problems? Do you want to play a key role in the future of Amazon's Stores business? Come and join us!The Supply Chain Optimization Technologies (SCOT) group is seeking a Principal Research Scientist to join our Optimal Sourcing Systems team. The Optimal Sourcing Systems (OSS) owns the optimization of inventory sourcing and the orchestration of inbound flows from vendors worldwide. We source inventory from thousands of vendors for millions of products globally while orchestrating the inbound flow for billions of units. Our goals are to increase access to supply for speed and placement, improve supply chain-driven vendor experience, and reduce end-to-end supply chain costs, all in service of maximizing Long-Term Free Cash Flow (LTFCF) for Amazon.Your tech solution will have large impacts to the physical supply chain of Amazon, and play a key role in improving Amazon consumer business’s long term profitability. You will work 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 responsibilities- Design, implement and evaluate models, agents and software prototypes- Technical leadership for a group of highly motivated and talented scientists- Influence team business and engineering strategies- Work closely with partner teams to develop solutions to ambiguous business problems and integrate novel methodology into our team and business- Work closely with a senior science advisor, collaborate with other scientists and engineers, and be part of Amazon’s vibrant and diverse global science community- Raise the bar of scientific research by innovating and publishing- Exercise sound judgment to prioritize between short-term vs. long-term and business vs. technology needs.- Communicate clearly and effectively with stakeholders to drive alignment and build consensus on key initiatives.A day in the lifeIn this role, you will have opportunity to work with partners and stakeholders from Amazon’s retail, seller and operation departments worldwide. You will understand their challenges and pain points, and help develop solutions that improve how Amazon source inventory and enable world class vendor experiences. To implement your solutions, you will work closely with our product and engineering teams. Your work will have high visibility and impacts to Amazon’s business operation.About the teamSupply Chain Optimization Technologies (SCOT) owns Amazon's global inventory planning systems. We decide what, when, where, and how much we should buy to meet Amazon's business goals and to make our customers happy. We decide how to place and move inventory within Amazon's fulfillment network. We do this for hundreds of millions of items and hundreds of product lines worth billions of dollars worldwide. Check our website if you are curious to learn more about the breadth of problems we tackle: https://www.amazon.science/tag/supply-chain-optimization-technologiesBASIC QUALIFICATIONS- Ph.D. in Operations Research, Operations Management, Industrial Engineering, Statistics, Applied Mathematics, Computer Science or a related field.- 7+ years of experience in solving complicated problems in the area of Operations Management or similar disciplines developing strategies for large-scale logistic networks.- 7+ years of hands-on experience in building machine learning or optimization models in business environment.- Proven track in leading, mentoring, and growing teams of scientists. ...

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 ...

The People eXperience and Technology (PXT) Central Science Team uses economics, behavioral science, statistics, and machine learning to proactively identify mechanisms, process improvements and products, which simultaneously improve Amazon and the lives, wellbeing, and the value of work of Amazonians. We are an interdisciplinary team which combines the talents of science and engineering to develop and deliver solutions that measurably achieve this goal. We invest in innovation and rapid prototyping of scientific models, AI/ML technologies and software solutions to accelerate informed, accurate, and reliable decision backed by science and data. As a research scientist you will you will design and carry out surveys to address business questions; analyze survey and other forms of data with regression models; perform weighting and multiple imputation to reduce bias due to nonresponse. You will conduct methodological and statistical research to understand the quality of survey data. You will work with economists, engineers, and computer scientists to select samples, draft and test survey questions, calculate nonresponse adjusted weights, and estimate regression models on large scale data. You will evaluate, diagnose, understand, and surface drivers and moderators for key research streams, including (but are not limited to) attrition, engagement, productivity, inclusion, and Amazon culture.Key job responsibilitiesDesign a scalable global content development and validation strategy to drive more effective decisions and improve the employee experience across all of AmazonConduct psychometric and econometric analyses to evaluate integrity and practical application of survey questions and dataIdentify research streams to evaluate how to mitigate or remove sources of measurement errorDrive effective collaborations across multi-disciplinary research and product teamsManage full life cycle of large-scale research programs (Develop strategy, gather requirements, manage and execute)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 ...

The Fulfillment by Amazon (FBA) and Supply Chain by Amazon (SCA) enable third-party sellers to use Amazon’s world-class science and logistics infrastructure to supply and fulfill customers world-wide with unprecedented fast delivery promise to customer. In doing so, sellers spend more time building great products, delight customers and grow their business. The FBA team is looking for a passionate, curious, and creative Principal Research Scientist with expertise in operations research, machine learning or statistics, along with a proven record of solving business problems through scalable modeling and analytical skills. As a lead research scientist in the team, you will be responsible for designing and implementing cutting edge optimization and ML models, building automated inventory, logistics and revenue management systems while collaborating with business and software teams to solve key challenges facing the worldwide FBA business. Such challenges include 1) designing end-to-end supply and demand management systems, ranging from capacity, inventory, and workforce management systems, 2) developing and improving optimization and ML models to help FBA sellers grow their business, 3) ensuring that worldwide Amazon customers have access to the largest selection of products through FBA sellers, and 4) driving out costs across end-to-end FBA supply chain. Unlike many companies who buy existing off-the-shelf planning systems, we design and build systems to suit Amazon’s particular needs. Our team members are 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 value individuals who exhibit deep technical proficiency, a desire for learning new areas, and a track record of delivering tangible results while fostering personal growth, team development, and career advancement.A day in the lifeIn this pivotal role, you will be a technical leader in operations research or machine learning, with significant scope, impact, and visibility. Your solutions have the potential to drive billions of dollars in impact for Amazon's third-party seller business. As a senior scientist on the team, you will engage in every facet of the process—from idea generation, business analysis and scientific research to development and deployment of advanced models—granting you a profound sense of ownership. From day one, you will collaborate with experienced scientists, engineers, and product managers who are passionate about their work. Moreover, you will collaborate with Amazon's broader decision and research science community, enriching your perspective and mentoring fellow engineers and scientists. The successful candidate will have the strong expertise in applying operations research methodologies to address a wide variety of supply chain problems with millions of unique products involving hundreds of thousands of Selling Partners and tens of millions of customers worldwide. You will strive for simplicity, demonstrate judgment backed by mathematical rigor, as you continually seek opportunities to innovate, build, and deliver. Entrepreneurial spirit, adaptability to diverse roles, and agility in a fast-paced, high-energy, highly collaborative environment are essential. About the teamSellers play a vital role in Amazon’s ecosystem, integral to our mission of offering the Earth’s largest selection and lowest prices. FBA is a service that enables third-party sellers to outsource order fulfillment to Amazon, and leverage Amazon’s world-class facilities to provide customers Prime delivery promise. By partnering with Amazon, sellers benefit from powerful, cost-effective solutions that leverage our scale and technology, gain access to Prime members worldwide, increase their sales, and have more time to continue inventing amazing products for customers. With commitment to taking on even more of the supply chain and operational complexities on behalf of our selling partners, Amazon introduced Supply Chain by Amazon (SCA), an end-to-end, fully automated suite of supply chain services. This comprehensive solution empowers sellers to quickly and reliably transport products from manufacturing sites to customers worldwide. Amazon Warehousing and Distribution is a pivotal service in SCA, that provides best-in-class bulk storage and distribution services to sellers, ensuring they remain well-stocked across all their sale and fulfillment channels while reducing the total supply chain costs. The FBA team is the core group in charge of fulfillment, inventory management, pricing, and a diverse range of operational recommendation services for sellers, as well as building the internal resource management systems. We work to learn seller behavior, understand seller experience, build automated assistants to sellers, recommend right actions to sellers, design seller policies and incentives, and develop science products and services that empower third-party sellers to grow their businesses. To do so, we build and innovate science solutions at the intersection of machine learning, statistics, economics, operations research, and data analytics. We work full-stack, from foundational backend systems to future-forward user interfaces. Our culture is centered on rapid prototyping, rigorous experimentation, and data-driven decision-making.BASIC QUALIFICATIONS- Ph.D. in Operations Research, Machine Learning, Statistics, Computer Science, Applied Mathematics, Operations Management, Industrial Engineering, Economics or a related field.- 7+ years of experience in solving complex problems in the area of operations research, statistics or machine learning, as well as in developing strategies for large-scale supply chain, transportation and logistic networks.- Ability to perform quantitative, economic, and numerical analyses of large-scale systems under uncertainty using statistical and optimization tools such as Python, R and XPRESS to determine solution strategies for complex decision-making problems.- Fluency in using mathematical optimization or machine learning, including algorithm design, continuous and discrete optimization, stochastic analysis, supervised and unsupervised machine learning methods, and deep learning, to develop solution methods to be used by in-house decision support tools and software.- Proficiency working with Python, SQL and/or C/C++.- Excellent written and verbal communication skills while addressing both technical and business people, ability to speak at a level appropriate for the audience, and skills to present business cases, and document models, analyses, and results to influence important decisions. ...

We are looking for a research scientist with expertise in applying causal inference, experimental design, or causal machine learning techniques to topics in labor, personnel, education, health, public, or behavioral science. We are particularly interested in candidates with experience applying these skills to strategic problems with significant business and/or social policy impact.Candidates will work with economists, scientists, and engineers to estimate and validate their models on large scale data, and will help business partners turn the results of their analysis into policies, programs, and actions that have a major impact on Amazon’s business and its workforce. We are looking for creative thinkers who can combine a strong scientific toolbox with a desire to learn from others, and who know how to execute and deliver on big ideas.You will conduct, direct, and coordinate all phases of research projects, including defining key research questions, developing models, designing and implementing appropriate data collection methods, executing analysis plans, and communicating results. You will earn trust from our business partners by collaborating with them to define key research questions, communicate scientific approaches and findings, listen to and incorporate their feedback, and deliver successful solutionsAbout the teamThe People eXperience and Technology Central Science Team (PXTCS) uses economics, behavioral science, statistics, and machine learning to proactively identify mechanisms and process improvements which simultaneously improve Amazon and the lives, wellbeing, and the value of work to Amazonians. We are an interdisciplinary team that combines the talents of science and engineering to develop and deliver solutions that measurably achieve this goal.BASIC QUALIFICATIONS- PhD or equivalent Master's degree plus 10+ years of research experience in a quantitative field.- Experience investigating the feasibility of applying scientific principals and concepts to business problems and products.- 2+ years of research or work experience in the following skill(s): programming with a mathematical programming language such as R, MATLAB, or SAS or major programming language such as Python, Java, C++, C#, or C. ...

Join our Amazon Private Brands Selection Guidance organization in building science and tech solutions at scale to delight our customers with products across our leading private brands such as Amazon Basics, Amazon Essentials, and by Amazon.The Selection Guidance team applies Generative AI, Machine Learning, Statistics, and Economics solutions to drive our private brands product assortment, strategic business decisions, and product inputs such as title, price, merchandising and ordering. We are an interdisciplinary team of Scientists, Economists, Engineers, and Product Managers incubating and building day one solutions using cutting-edge technology, to solve some of the toughest business problems at Amazon.As a Principal Applied Scientist you will invent novel solutions and prototypes, and directly contribute to bringing your ideas to life through production implementation. Current research areas include entity resolution, generative AI, large language models, and product substitutes. You will review and guide scientists across the team on their designs and implementations, and raise the team bar for science research and prototypes.This is a unique, high visibility opportunity for someone who wants to develop cutting edge science solutions and have direct business and customer impact. Key job responsibilities- Partner with business stakeholders to deeply understand APB business problems and frame ambiguous business problems as science problems and solutions.- Invent novel science solutions and develop prototypes to solve business problems.- Review and guide science solutions across the team.- Publish and socialize your and the team's research across Amazon and external avenues as appropriate- Leverage industry best practices to establish repeatable applied science practices, principles & processes.BASIC QUALIFICATIONS• Ph.D. degree in Statistics, Computer Science, Applied Math, Machine Learning, or a related field• 7+ years of hands-on experience in solving difficult machine learning problems • Experience in patents or publications at top-tier peer-reviewed conferences or journals• Expert at more than one major programming languages (C++, Java, or similar) and at least one scripting language (Perl, Python, or similar)• Demonstrated ability to serve as a technical lead • Excellent writing skills for presenting business cases and scientific models with rigorous analyses that support results/conclusions to influence important decisions.• Strong fundamentals in problem solving, algorithm design and complexity analysis• Proven track in leading, mentoring, and growing teams of scientists ...

We are looking for a passionate, talented, and resourceful Senior Applied Scientist in the field of LLM, Artificial Intelligence (AI), Natural Language Processing (NLP), Recommender Systems and/or Information Retrieval, to invent and build scalable solutions for a state-of-the-art context-aware GenAI application. A successful candidate will have strong machine learning background and a desire to push the envelope in one or more of the above areas. The ideal candidate would also have hands-on experiences in building Agentic AI solutions with LLMs, enjoy operating in dynamic environments, be self-motivated to take on challenging problems to improve customer experience, moving fast to ship solutions and then iterating on user feedback and interactions.Key job responsibilitiesAs an Applied Scientist, you will:- Develop innovative solutions to complex problems to extend the functionalities of conversational assistants- Use your technical expertise to research and implement novel algorithms and modeling solutions in collaboration with other scientists and engineers.- Analyze data and define metrics to enable the identification of actionable insights and measure improvements in customer experience.- Communicate results and insights to both technical and non-technical audiences through written reports, presentations and external publications.A day in the lifePartner with stakeholders to identify science strategies and solutions for business problems. Analyze, understand, and model customer experience risk with Amazon products and services with passion towards solving for international customer-centric challenges. Develop and build novel online and offline evaluation metrics, focus on international customer specific model performance tuning. Quickly experiment and setup experimentation framework for agile model and data analysis. Deploy science models to production systems in partnership with the engineering team. Collaborate junior scientists to contribute to industry first research and to drive the innovation forward.About the teamCustomer Experience and Business Trends (CXBT) is an organization made up of a diverse suite of functions dedicated to deeply understanding and improving customer experience, globally. We are a team of builders that develop products, services, ideas, and various ways of leveraging data to influence product and service offerings – for almost every business at Amazon – for every customer (e.g., consumers, developers, sellers/brands,employees, investors, streamers, gamers).Our approach is based on determining the customer need, along with problem solving, and we work backwards from there. We use technical and non-technical approaches and stay aware of industry and business trends. We are a global team, made up of a diverse set of profiles, skills, and backgrounds – including: Product Managers, Software Developers, Computer Vision experts, Solutions Architects, Data Scientists, Business Intelligence Engineers, Business Analysts, Risk Managers, and moreBASIC 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 programming in Java, C++, Python or related language- Experience in investigating, designing, prototyping, and delivering new and innovative system solutions ...

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 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- At least 1 year of 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- Strong written and verbal communication skills with the ability to present complex technical information in a clear and concise manner to a variety of audiences ...

Join us in the evolution of Amazon’s Seller business! The Selling Partner Recruitment and Success organization is the growth and development engine for our Store. Partnering with business, product, and engineering, we catalyze SP growth with comprehensive and accurate data, unique insights, and actionable recommendations and collaborate with WW SP facing teams to drive adoption and create feedback loops. We strongly believe that any motivated SP should be able to grow their businesses and reach their full potential supported by Amazon tools and resources.We are looking for a Senior Applied Scientist to lead us to identify data-driven insight and opportunities to improve our SP recruitment strategy and drive new seller success. As a successful applied scientist on our talented team of scientists and engineers, you will solve complex problems to identify actionable opportunities, and collaborate with engineering, research, and business teams for future innovation. You need to be a sophisticated user and builder of statistical models and put them in production to answer specific business questions. We prefer candidates with strong causal ML knowledge. You are an expert at synthesizing and communicating insights and recommendations to audiences of varying levels of technical sophistication. You will continue to contribute to the research community, by working with scientists across Amazon, as well as collaborating with academic researchers and publishing papers (www.aboutamazon.com/research). Key job responsibilitiesAs a Sr. Applied Scientist in the team, you will:- Identify opportunities to improve SP growth and translate those opportunities into science problems via principled statistical solutions (e.g. ML, causal, RL).- Mentor and guide the applied scientists in our organization and hold us to a high standard of technical rigor and excellence in MLOps.- Design and lead roadmaps for complex science projects to help SP have a delightful selling experience while creating long term value for our shoppers.- Work with our engineering partners and draw upon your experience to meet latency and other system constraints.- Identify untapped, high-risk technical and scientific directions, and simulate new research directions that you will drive to completion and deliver.- Be responsible for communicating our science innovations to the broader internal & external scientific community.BASIC QUALIFICATIONS- 4+ years of applied research experience- 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 looking for talented Postdoctoral Scientists to join our Forward Looking Initiatives & Technology Enablers (FLITE) Team for a one-year, full-time research position. The Forward Looking Initiatives & Technology Enablers (FLITE) Team. FLITE’s charter is to enable Amazon Robotics Manipulation Organization to innovate on advanced technology development.The research work for this position will explore generalization of grasp policies in simulation and on novel hardware platforms. The Postdoc will research, propose, and develop policies by leveraging the state-of-the-art visuomotor polices, data-efficient reinforcement learning methods, and foundation models for robotic perception and manipulation. The candidate will prototype algorithms in simulation and then deploy promising solutions to real and novel hardware. They will provide direction on where we should be focusing our efforts in this rapidly developing field and innovate and iterate on deep learning solutions for robotic manipulation.Key job responsibilities• Work closely with a senior science advisor, collaborate with other scientists and engineers, and be part of Amazon’s vibrant and diverse global science community.• Publish your innovation in top-tier academic venues and hone your presentation skills.• Be inspired by challenges and opportunities to invent cutting-edge techniques in your area(s) of expertise. BASIC QUALIFICATIONS• PhD in a relevant field, received within 2 years of starting the program• Proven publication record in Manipulation and Gasp Learning• Publications in related topics in Machine Learning, Robotics, Computer Vision, AI, Computer Science, Econ, Reinforcement Learning or other related technical fields• Experience in data science and quantitative research• Proficiency in technologies relevant to the subfield ...

The Amazon Smart Vehicles (ASV) science team is seeking a passionate and skilled Applied Scientist with extensive expertise in advanced LLM technologies.This role involves innovating in rapidly evolving areas of AI research, focusing on creating personalized services to enhance drivers' and passengers' experiences. Your work will aim to simplify their lives, keep them informed, entertained, productive, and safe on the road, with direct application to prominent Amazon products.If you have extensive expertise in LLMs, natural language processing, and machine learning, along with experience in high-performing research teams, this could be the perfect opportunity for you. Our dynamic and fast-paced environment demands a high level of independence in decision-making and the ability to drive ambitious research initiatives through to production. You will collaborate closely with other science and engineering teams, as well as business stakeholders, to ensure your contributions are both impactful and delivered with maximum efficiency.Key job responsibilities- Leverage Amazon’s heterogeneous data sources and large-scale computing resources to accelerate advances in generative artificial intelligence (GenAI)- Work with talented peers to lead the development of novel algorithms and modeling techniques to advance the state of the art with LLMs- Collaborate with other science and engineering teams as well as business stakeholders to maximize the velocity and impact of your contributions.About the teamThis is an exciting moment to lead in AI research. As part of the Amazon Smart Vehicles science team, you have the opportunity to shape the future by enhancing information-driven experiences for Amazon customers around the globe. Your work will directly influence customers through innovative products and services powered by language and multimodal technology!BASIC 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 programming in Java, C++, Python or related language- Experience in state-of-the-art deep learning models architecture design and deep learning training and optimization and model pruning ...

Here at Amazon, we embrace our differences. We are committed to furthering our culture of diversity and inclusion of our teams within the organization. We’re working on the future. If you are seeking an iterative fast-paced environment where you can drive innovation, apply state-of-the-art technologies to solve extreme-scale real world delivery challenges, and provide visible benefit to end-users, this is your opportunity. Come work on the Amazon Prime Air team! We're looking for an outstanding Applied Scientist with either some background or strong interest in building simulation tools and algorithms for orchestration of a fleet of autonomous delivery drones. Managing a large number of concurrent autonomous drone flights that share airspace with other autonomous or manned aircrafts is a challenging problem. Be part of the team building simulation tools and algorithms to solve this at scale.This role will contribute to a portfolio of simulation tools managing concurrent airspace traffic for aviation systems. The ideal candidate is comfortable with a degree of risk taking and ambiguity and able to build consensus on the critical path. If you enjoy the process of solving real-world problems that, quite frankly, haven’t been solved at scale anywhere before, Prime Air could be the place for you. Along the way, we guarantee you’ll get opportunities to be a fearless disruptor, prolific innovator, and a reputed problem solver and directly impact Amazon’s customer’s worldwide.About the teamPrime air has ambitious goals to offer its service to an increasing number of customers and enabling a large number of concurrent flights is central to achieving this. To this end, the air traffic management team is building algorithms, tools and services for orchestration of prime air's autonomous drone fleet. BASIC QUALIFICATIONS- 3+ years of building models for business application experience- PhD, or Master's degree and 4+ years of science, technology, engineering 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 ...

Are you excited about developing generative AI and foundation models to revolutionize automation, text generation, and machine learning at scale? Are you looking for opportunities to build and deploy them on real problems at truly vast scale? At Amazon BuilderWorks we are on a mission to build high-performance autonomous systems that perceive and act to further improve our world-class builder experience - at Amazon scale.This role is for the Data Reserach Org for Insights Development (DROID) Science team which has deep expertise developing cutting edge AI solutions at scale and successfully applying them to business problems in the Stores, Devices, and Other (SDO) organization. These solutions typically utilize machine learning and GenAI techniques, applied to text, sequences of events, wikis, or customer input from existing or new tooling. The team is comprised of scientists, who develop machine learning and deep learning solutions, analytics, who evaluate the expected business impact for a project and the performance of these solutions, and software engineers, who provide necessary support such as annotation pipelines and machine learning library development.We are looking for an Applied Scientist with expertise in GenAI. You will work alongside other scientists, engineers, product managers and various stakeholders to deploy models at scale across a diverse set of initiatives. If you are a self-motivated individual with a zeal for customer obsession and ownership, and are passionate about applying science for real world problems - this is the team for you.Key job responsibilities- You will be part of a team of scientists and engineers and will work on scaling systems to production along side partner teams.- You will learn how to build robust solutions that operate at Amazon scale, and work with senior technical leaders to grow your skills.- You will face a high level of research ambiguity and problems that require creative, ambitious, and inventive solutions.- You will design and implement scalable solutions and solve complex problems- You will mentor and coach junior software developers- You should be a great communicator and should be motivated to achieve results in a fast-paced, and at times ambiguous, environment- You should be a self-starter with a bias towards independent problem solving.About the teamBuilderWorks tools, libraries, and services empower Amazon builders to deliver solutions for a diversity of internal and external customer use-cases spanning the Stores business as our primary customer with additional support for Devices and Other (SDO) business units across Amazon. The DROID team sits within BuilderWorks and seeks to be the primary source for standardized, actionable metrics and science-driven insights within BuilderWorks. We achieve this through user-focused tools that provide comprehensive access to current and future metrics, solutions that provide measurable impact to cost and engagement through the use of scientific methods, user-accessible data repositories for individual analyses and deep divesDROID Science mission is to provide measurable impact on customer experience and BuilderWorks efficiencies through the use of scientific methods and processes. We quantify the impact of programs in terms of engagement and cost through data science studies. We own the model framework, where we deliver prospective insights and retrospective measurements of the effect that BuilderWorks programs have on builder experience. We partner with BuilderWorks programs to develop a principled and data driven methodology for quantifying the impact of programs on SDO.BASIC 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 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 ...

AWS 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. Within AWS UC, Amazon Dedicated Cloud (ADC) roles engage with AWS customers who require specialized security solutions for their cloud services.The AWS Center for Quantum Computing is a multi-disciplinary team of scientists, engineers, and technicians, all working to innovate in quantum computing for the benefit of our customers.We are looking to hire a Senior Research Scientist to develop and test novel calibration and optimization tools for the operation of large scale quantum processors. You will be a technical leader on a team of engineers and scientists at the frontier of quantum processor control and error correction. You are expected to develop & lead high-impact research projects that intersect with our engineering roadmap. We are looking for candidates with strong engineering principles and resourcefulness. Organization and communication skills are essential.A day in the lifeWhy 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.AWS 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. Within AWS UC, Amazon Dedicated Cloud (ADC) roles engage with AWS customers who require specialized security solutions for their cloud services.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.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.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. Export Control Requirement:Due to applicable export control laws and regulations, candidates must be either a U.S. citizen or national, U.S. permanent resident (i.e., current Green Card holder), or lawfully admitted into the U.S. as a refugee or granted asylum, or be able to obtain a US export license. If you are unsure if you meet these requirements, please apply and Amazon will review your application for eligibility.BASIC QUALIFICATIONS- PhD in physics, applied physics, electrical engineering, or an equivalent degree in a similar field- 5+ years of post-PhD or industry experience as an experimentalist in quantum computing- In-the-lab experience calibrating multi-qubit systems- Expertise in common qubit benchmarking and tomographic protocols (e.g. randomized benchmarking)- Proficient in a scientific programming environment- Experience successfully delivering on projects as part of a cross-team collaboration ...

The Automated Reasoning Group is looking for an Applied Scientist with experience in building scalable formal reasoning solutions that delight customers. You will be part of a world-class team building the next generation of tools and services by combining Automated Reasoning and Generative AI.AWS has the most services and more features within those services, than any other cloud provider–from infrastructure technologies like compute, storage, and databases–to emerging technologies, such as machine learning and artificial intelligence, data lakes and analytics, and Internet of Things.You will apply your knowledge to propose solutions, create software prototypes, and move prototypes into production systems using modern software development tools and methodologies. In addition, you will support and scale your solutions to meet the ever-growing demand of customer use. You will use your strong verbal and written communication skills, are self-driven and own the delivery of high quality results in a fast-paced environment.Each day, hundreds of thousands of developers make billions of transactions worldwide on AWS. They harness the power of the cloud to enable innovative applications, websites, and businesses. Using automated reasoning technology and mathematical proofs, AWS allows customers to answer questions about security, availability, durability, and functional correctness. We call this provable security, absolute assurance in security of the cloud and in the cloud. See https://aws.amazon.com/security/provable-security/As an Applied Scientist in AWS AI, you will play a pivotal role in shaping the definition, vision, design, roadmap and development of product features from beginning to end. You will:* Define and implement new formal reasoning applications that employ scalable and efficient approaches to solve complex problems using Automated Reasoning and Generative AI technologies.* Apply software engineering best practices to ensure a high standard of quality for all team deliverables* Work in an agile, startup-like development environment, where you are always working on the most important stuff* Deliver high-quality scientific artifacts* Work with the team to lower the barrier of adoption for interactive theorem provers* Work with the team to help drive business decisionsLearn and Be Curious. We have a formal mentor search application that lets you find a mentor that works best for you based on location, job family, job level etc. Your manager can also help you find a mentor or two, because two is better than one. In addition to formal mentors, we work and train together so that we are always learning from one another, and we celebrate and support the career progression of our team members.Key job responsibilities* Design and implement scalable systems for formal reasoning and automated theorem proving.* Collaborate closely with internal and external users to understand their requirements for formal verification and automated reasoning.* Enhance and extend the capabilities of formal reasoning systems to meet application-specific demands.* Proactively identify and explore new opportunities for deploying and leveraging formal reasoning solutions across various domains.A day in the lifeWhy 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.AWS 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 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. 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. EEO/AccommodationsAWS is committed to a diverse and inclusive workplace to deliver the best results for our customers. Amazon is an equal opportunity employer and does not discriminate on the basis of race, national origin, gender, gender identity, sexual orientation, protected veteran status, disability, age, or other legally protected status; we celebrate the diverse ways we work. For individuals with disabilities who would like to request an accommodation, please let us know and we will connect you to our accommodation team. You may also reach them directly by visiting https://www.amazon.jobs/en/disability/us.About the teamThe AWS Automated Reasoning Group is a talented group of scientists from around the world. Their areas of expertise include interactive theorem proving, generative AI, SAT/SMT solvers, and programming language theory.BASIC QUALIFICATIONS- Ph.D. in Electrical Engineering, Computer Science, Mathematics, or related technical field OR MS degree and 4+ years of industrial/academic experience in interactive theorem proving and/or automated reasoning.- 4+ years of experience with programming languages such as Rust, Python, C/C++ and open-source technologies and open-source technologies- 4+ years of experience in design and analysis of algorithms and data structures ...

Here at Amazon, we embrace our differences. We are committed to furthering our culture of diversity and inclusion of our teams within the organization.We’re working on the future. If you are seeking an iterative fast-paced environment where you can drive innovation, apply state-of-the-art technologies to solve extreme-scale real world challenges, and provide visible benefit to end-users, this is your opportunity.Come work on the Amazon Prime Air Team!Prime Air is looking for a Lab Engineer to help support design & development integration and test activities. The successful candidate will be obsessed with quality improvement, help to generate and collect data to increase operational efficiency.In this role you will be working alongside Electrical, Firmware and Systems Engineers (the team) to understand the product requirements and develop the test strategy for the multiple product Subsystems. You will be responsible for the following:• Working alongside Electrical, Firmware and Systems Engineers (the team) to understand the product requirements, design and test strategy• Executing bring up, debug and test procedures for component, subsystem and system level testing• Assisting with assembling / modifying prototypes and test fixture.• Understanding use cases, device/system troubleshooting skills down to the component level.• Assisting team members in troubleshooting, diagnosis, and replication of product failures.• Creating prototype devices via fabrication, 3D printing, or external vendors.• Ordering parts and equipment as necessary.Export Controls LicenseThis position may require a deemed export control license for compliance with applicable laws and regulations. Placement is contingent on Amazon’s ability to apply for and obtain an export control license on your behalf.Key job responsibilitiesYou complete straightforward lab engineering tasks at an individual or team level. You have a basic knowledge of consumer electronic devices (e.g. batteries, displays, wireless technologies), electro-mechanical systems (e.g. motors, controllers, sensors), scripting, coding, automation, and/or quality assurance.You understand fabrication techniques and how they relate to material properties (e.g. strength, surface finish, tolerances). You are able to operate shop tools and lab equipment effectively to perform your daily work. You are able to conduct environmental and reliability testing of components, sub systems or devices to assure functionality or determine failure limits. You understand, follow, and may contribute to the development of engineering documentation, including solid models, detailed drawings, manufacturing visual aids, schematics, equipment specifications, test procedures, and SOPs. You are learning to develop high-quality engineering artifacts. You are learning lab management and lab engineering best practices. Your work may include researching equipment, processes and methods or engaging suppliers and/or external partners for lab-related activities (e.g., improving test capability or methods). You actively participate in maintaining a safe, clean and efficient lab, and you may identify opportunities to increase efficiency and/or product quality. You make appropriate trade-offs between speed, quality, and resource constraints.BASIC QUALIFICATIONS*BS in Electrical Engineering *2+ years of experience designing and executing hardware test and validation plans for electro/mechanical products *Experience in all stages of a product lifecylce, from defining requirements, to developing initial prototypes, to factory bring up, to high volume production launch *Ability to translate use cases and/or technical specifications into test cases *Direct hands-on experience testing and debugging custom and commercial-off-the-shelf (COTS) electronic hardware at board, assembly and system levels*Direct hands-on experience with electronic hardware instrumentation (DMMs, DAQ, power supplies, high speed oscilloscopes, etc.,) and other special test equipment used to test electronic components and systems *Excellent verbal and written communication skills, problem solving and analytical skills *Self-starter, capable of working independently and building strong cross functional relationships ...