Careers

The Fulfillment by Amazon (FBA) team is looking for a passionate, curious, and creative Research Scientist to join our top-notch cross-domain FBA science team. As a research scientist you will be responsible for generating data-driven insights influencing business directions and product/policy designs, building statistical and ML models to learn Seller and customer behaviors, and collaborating with business and software teams to solve key challenges facing the worldwide FBA Seller business, including 1) improving FBA Seller inventory efficiency, 2) efficiently balancing the supply and demand of FBA Seller capacity, 3) closing worldwide selection gap by enabling global selling profitability, and 4) driving out costs across the FBA supply chain to spin the flywheel. 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 thought leadership by working on some of the most difficult problems in the industry with some of the best product managers, scientists and software developers in the business. This role will work with other senior and principal scientists, and partner with engineering and product teams to integrate scientific work into production systems. Key job responsibilities As a member of the FBA science team, you will play an integral part in Amazon's FBA inventory management with the following technical and leadership responsibilities: • Solve real-world problems by analyzing large amounts of business data, diving deep to identify business insights and opportunities, designing simulations and experiments, developing statistical and ML models by tailoring to business needs, and collaborating with Scientists, Engineers, BIE's, and Product Managers. • Write code (Python, Scala, etc.) to analyze data and build innovative statistical and machine learning models to drive FBA growth and efficiency. • Translate business problems into specific analytical questions and form hypotheses that can be answered with available data using scientific methods or identify additional data needed in the master datasets to fill any gaps • Retrieve, analyze, synthesize, and present historical data in a format that is immediately useful to answer specific questions, improve system performance, or support decision making. • Conduct written and verbal presentation to share insights and recommendations to audiences of varying levels of technical sophistication. • Proactively seek to identify business opportunities and insights and provide solutions to shape key business processes and policies based on a broad and deep knowledge of Amazon data, industry best-practices, and work done by other teams. A day in the life As a Research Scientist, you will solve real world large ML problems by analyzing large amounts of business data, defining new metrics and business cases, designing simulations and experiments, building new and enhance existing ML models. You will work with Product Managers, Software Engineers, and other Scientists, to deeply understand FBA Seller business problems and priorities. You will lead the research where we are responsible for developing solutions to better manage and optimize worldwide FBA inventory capacity, while providing the best experience to our Sellers to growth their business. About the team Fulfillment by Amazon (FBA) is a service that allows sellers to outsource order fulfillment to Amazon, allowing sellers to leverage Amazon’s world-class facilities to provide customers Prime delivery promise. Sellers gain access to Prime members worldwide, see their sales lift, and are free to focus their time and resources on what they do best while Amazon manages fulfillment. Over the last several years, sellers have enjoyed strong business growth with FBA shipping more than half of all products offered by Amazon. FBA focuses on helping sellers with automating and optimizing the third-party supply chain. FBA sellers leverage Amazon’s expertise in machine learning, optimization, data analytics, econometrics, and market design to deliver the best inventory management experience to sellers. 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.

Amazon Web Services is looking for an experienced Applied Science Manager to lead the EC2 Automated Reasoning Group team. You will be innovating, researching, and developing state-of-the-art automated reasoning techniques for network observability and verification, as well as other applications of automated reasoning across the organization. On this team, you will help guide and lead a team of scientists who invent and implement innovative solutions for never-before-solved problems. If you have passion for automated reasoning with managing scientists, this will be an exciting opportunity. This team of scientists works closely with engineers, product managers, and leadership to invent the future. You and your team will interact with the broader automated reasoning community at Amazon and in academia by giving talks and publishing papers, but also work closely to build innovative new services that delight customers. Key job responsibilities * Lead scientists and engineers on the team * Drive projects at various stages ranging from initial exploration to deployment into production systems. * Provide technical and scientific guidance to your team members. * Rapidly design, prototype and test many possible hypotheses in a high-ambiguity environment, making use of both quantitative and business judgment. * Collaborate with software engineering teams to integrate successful experiments into large scale, highly complex production services. * Report results in a scientifically rigorous way. * Interact with security engineers, product managers and related domain experts to dive deep into the types of challenges that we need innovative solutions for. About the team About AWS Diverse Experiences AWS 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 Culture AWS values curiosity and connection. Our employee-led and company-sponsored affinity groups promote inclusion and empower our people to take pride in what makes us unique. Our inclusion events foster stronger, more collaborative teams. Our continual innovation is fueled by the bold ideas, fresh perspectives, and passionate voices our teams bring to everything we do. Mentorship & 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. 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.

Prime Video is a first-stop entertainment destination offering customers a vast collection of premium programming in one app available across thousands of devices. Prime members can customize their viewing experience and find their favorite movies, series, documentaries, and live sports – including Amazon MGM Studios-produced series and movies; licensed fan favorites; and programming from Prime Video add-on subscriptions such as Apple TV+, Max, Crunchyroll and MGM+. All customers, regardless of whether they have a Prime membership or not, can rent or buy titles via the Prime Video Store, and can enjoy even more content for free with ads. Are you interested in shaping the future of entertainment? Prime Video's technology teams are creating best-in-class digital video experience. As a Prime Video technologist, you’ll have end-to-end ownership of the product, user experience, design, and technology required to deliver state-of-the-art experiences for our customers. You’ll get to work on projects that are fast-paced, challenging, and varied. You’ll also be able to experiment with new possibilities, take risks, and collaborate with remarkable people. We’ll look for you to bring your diverse perspectives, ideas, and skill-sets to make Prime Video even better for our customers. With global opportunities for talented technologists, you can decide where a career Prime Video Tech takes you! We are looking for a self-motivated, passionate and resourceful Applied Scientist to bring diverse perspectives, ideas, and skill-sets to make Prime Video even better for our customers. You will spend your time as a hands-on machine learning practitioner and a research leader. You will play a key role on the team, building and guiding machine learning models from the ground up. At the end of the day, you will have the reward of seeing your contributions benefit millions of Amazon.com customers worldwide. Key job responsibilities - Develop AI solutions for various Prime Video Search systems using Deep learning, GenAI, Reinforcement Learning, and optimization methods; - Understand problem space, identify gaps and opportunity for improvement, create roadmap and plans for delivering business goals; - Lead cross-team collaboration and work closely with engineers and product managers to deliver AI solutions end-to-end; - Design and conduct offline and online (A/B) experiments to evaluate proposed solutions based on in-depth data analyses; - Effectively communicate technical and non-technical ideas with teammates and stakeholders; - Stay up-to-date with advancements and the latest modeling techniques in the field; - Mentor and grow junior scientists and interns; - Publish your research findings in top conferences and journals. About the team Prime Video Personalization and Discovery science team owns different aspects of personalization algorithms, from user-item relevance, item-item relevance, and page composition, to name a few. We work closely with the engineering teams to put our models in production.

The Artificial General Intelligence (AGI) team is looking for a highly skilled and experienced Senior Applied Scientist, to lead the development and implementation of state of the art customization and distillation algorithms and models for supervised fine-tuning and reinforcement learning through human feedback; with a focus across text, image, and video modalities. As a Senior Applied Scientist, you will play a critical role in driving the development of Generative AI (Gen AI) technologies that can handle Amazon-scale use cases and have a significant impact on our customers' experiences. Key job responsibilities - Collaborate with cross-functional teams of engineers, product managers, and scientists to identify and solve complex problems in Gen AI - Design and execute experiments to evaluate the performance of different algorithms and models, and iterate quickly to improve results - Think big about the arc of development of GenAI over a multi-year horizon, and identify new opportunities to apply these technologies to solve real-world problems - Communicate results and insights to both technical and non-technical audiences, including through presentations and written reports - Mentor and guide junior scientists and engineers, and contribute to the overall growth and development of the team - Help Amazon lead the state of the art through scientific publications

Here at Amazon, we embrace our differences. We are committed to furthering our culture of diversity and inclusion of our teams within the organization. How do you get items to customers quickly, cost-effectively, and—most importantly—safely, in less than an hour? And how do you do it in a way that can scale? Our teams of hundreds of scientists, engineers, aerospace professionals, and futurists have been working hard to do just that! We are delivering to customers, and are excited for what’s to come. Check out more information about Prime Air on the About Amazon blog (https://www.aboutamazon.com/news/transportation/amazon-prime-air-delivery-drone-reveal-photos). If you are seeking an iterative environment where you can drive innovation, apply state-of-the-art technologies to solve real world delivery challenges, and provide benefits to customers, Prime Air is the place for you. Come work on the Amazon Prime Air Team! We are seeking a highly skilled Navigation Scientist to help develop advanced algorithms and software for our Prime Air delivery drone program. In this role, you will conduct comprehensive navigation analysis to support cross-functional decision-making, define system architecture and requirements, contribute to the development of flight algorithms, and actively identify innovative technological opportunities that will drive significant enhancements to meet our customers' evolving demands. Export Control License: This 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.

Are you passionate about creating digital experiments that validate innovative automation technologies? Do you excel at using simulation tools to optimize mechanical designs and processes before they're built? Does collaborating with hardware development engineers to revolutionize logistics automation excite you? The Worldwide Innovation and Design team is seeking a Simulation Engineer to lead discrete-event simulations for our Last Mile (AMZL) network technologies. We offer the opportunity to shape the future of automation through digital experimentation while working with world-class engineering teams. Come join us as we revolutionize logistics automation around the world! Key job responsibilities As a Simulation Engineer at Amazon, you will lead the creation of complex discrete-event simulations that validate new technologies early in their development cycle - focussing on process simulations to understand throughput requirements, bottlenecks and operator machine interactions. You will utilize your expertise in simulation software (FlexSim, Emulate 3D) and programming to create digital experiments that optimize processes and influence mechanical designs whether it be robotics, AGV's, conveyors or storage systems. You will have ownership of strategic modeling projects, establish best practices, and influence design decisions through data-driven insights. Your work will directly impact the success of revolutionary automation technologies in our logistics network. Note: there is a preference in this role for Flexsim experience, we will consider candidates without this skill if relevant process and system A day in the life As a Simulation Engineer, your day begins collaborating with Hardware Development Engineers to understand a new automation system's requirements. You'll design simulation experiments using tools like FlexSim or Emulate3D to test critical aspects of the technology: Do we want to validate operational metrics or maybe confirm physical reactions of parcels moving through our tech. Throughout the day, you'll program model parameters, run scenarios, and analyze results to validate design decisions. You'll meet with cross-functional teams to present findings and recommend optimizations. Your afternoon might involve mentoring junior engineers on simulation best practices or coordinating with vendors on complex multi-system simulations. Each day brings new challenges in digitally validating tomorrow's logistics solutions. About the team You will join the System Integration & Performance team within Innovation & Design Engineering, working alongside experts in Data Analytics, Physical Validation, and Integration. Together, these pillars provide essential tools for Hardware Developers to make informed design decisions. Innovation & Design's mission is to discover, test, and enhance new mechatronics technologies (Robots, Conveyors, Sorters) that transform Amazon's last mile logistics operations.

Amazon Sponsored Products is investing heavily in building a world class advertising business and we are responsible for defining and delivering a collection of self-service performance advertising products that drive discovery and sales. Our products are strategically important to Amazon’s Selling Partners and key to driving their long-term growth. We deliver billions of ad impressions and clicks daily and are breaking fresh ground to create world-class products. We are highly motivated, collaborative and fun-loving team with an entrepreneurial spirit and bias for action. With a broad mandate to experiment and innovate, we are growing at an unprecedented rate with a seemingly endless range of new opportunities. This position will be part of the Advertiser Growth organization within Sponsored Products. Our team focuses on launching innovative controls that help advertisers create and manage performant SP campaigns. We develop recommendations to help advertisers use these controls effectively and develop state-of-art ML based optimization services to represent our advertisers in the SP marketplace. We strive to improve the ability for advertisers to help shoppers discover relevant products on customer search, browse and detail pages. Key job responsibilities • Seek to understand in depth the Sponsored Products offering at Amazon and identify areas of opportunities to grow our business using AI/ML solutions. • Mentor and guide the applied scientists in our organization and hold us to a high standard of technical rigor and excellence in ML. • Design and lead organization-wide ML roadmaps to help our Amazon shoppers have a delightful shopping experience while creating long term value for our advertisers. • 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 devise new research directions that you will drive to completion and deliver. • Be responsible for communicating our AI/ML innovations to the broader internal & external scientific community.

** This position is open to all candidates in NYC and Arlington, VA Amazon Ads Response Prediction team is your choice, if you want to join a highly motivated, collaborative, and fun-loving team with a strong entrepreneurial spirit and bias for action. We are seeking an experienced and motivated Machine Learning Applied Scientist who loves to innovate at the intersection of customer experience, deep learning, and high-scale machine-learning systems. Amazon Advertising operates at the intersection of eCommerce and advertising, and is investing heavily in building a world-class advertising business. We are defining and delivering a collection of self-service performance advertising products that drive discovery and sales. Our products are strategically important to our Retail and Marketplace businesses driving long-term growth. We deliver billions of ad impressions and millions of clicks daily and are breaking fresh ground to create world-class products to improve both shopper and advertiser experience. With a broad mandate to experiment and innovate, we grow at an unprecedented rate with a seemingly endless range of new opportunities. We are looking for a talented Machine Learning Applied Scientist for our Amazon Ads Response Prediction team to grow the business. We are providing advanced real-time machine learning services to connect shoppers with right ads on all platforms and surfaces worldwide. Through the deep understanding of both shoppers and products, we help shoppers discover new products they love, be the most efficient way for advertisers to meet their customers, and helps Amazon continuously innovate on behalf of all customers. Key job responsibilities As a Machine Learning Applied Scientist, you will: * Conduct deep data analysis to derive insights to the business, and identify gaps and new opportunities * Develop scalable and effective machine-learning models and optimization strategies to solve business problems * Run regular A/B experiments, gather data, and perform statistical analysis * Work closely with software engineers to deliver end-to-end solutions into production * Improve the scalability, efficiency and automation of large-scale data analytics, model training, deployment and serving * Conduct research on new machine-learning modeling to optimize all aspects of Sponsored Products business About the team We are pioneers in applying advanced machine learning and generative AI algorithms in Sponsored Products business. We empower every customer with a customized discovery experiences from back-end optimization (such as customized response prediction models) to front-end CX innovation (such as widgets), to help shoppers feel understood and shop efficiently on and off Amazon.

The Decision Science team within Amazon Devices is seeking an experienced Senior Data Scientist to lead the development and implementation of sophisticated demand forecasting models and customer segmentation analyses that will shape our future product portfolio. Are you excited about making multi-million dollar decisions science- and data-driven? Are you interested in supporting Consumer Hardware device concepts from innovative idea to launch? Do you want to work on a science team focused on scaling a variety of econometric and machine learning models? This could be the role for you! The Decision Science team owns demand estimates and pricing recommendations of concept devices before customers know they exist. We support over 100 device-specific analyses a year on hardware and services ranging from Echo Frames to Kindle Paperwhite to Blink Video Camera. We apply science models to multi-million dollar, one-way door decisions. The successful candidate will excel at exploring and simplifying internal customer business problems, and delivering deliver solutions to those problems that can eventually scale to self service tools. Key job responsibilities As a Data Scientist III at Amazon Devices, you will play a crucial role in shaping our product strategy and launch plans through advanced pre-launch forecasting and customer segmentation analysis. Your primary responsibilities will include: - Develop and execute sophisticated conjoint surveys to gather critical consumer insights for upcoming device launches. - Build and refine demand models using conjoint survey data and historical sales information to produce accurate pre-launch forecasts for new Amazon devices. - Lead the advancement of customer segmentation analysis, identifying key characteristics and behaviors of device purchasers across different product lines. - Collaborate with cross-functional teams including Product Management, Marketing, and Finance to translate data-driven insights into actionable strategies for product development and go-to-market plans. - Design and implement machine learning algorithms to enhance the accuracy of demand forecasts and improve customer segment identification. - Stay current with the latest developments in data science techniques, particularly in the areas of conjoint analysis, demand modeling, and customer segmentation. - Mentor junior data scientists and contribute to the overall growth of the data science practice within Amazon Devices.

Are you excited about solving complex business problems at scale through GenAI? Are you fascinated about the application of Agentic AI and LLMs on real-life scenarios? Are you looking to invent solutions that drive Autonomous Artificial Intelligence? If so, we are looking for you to fill a challenging position on Amazon's Trustworthy Shopping Experience (TSE) team. At TSE, our vision is to guarantee customers a worry-free shopping experience by earning their trust that the products they buy are safe, authentic, and compliant with regulations and policy, and giving them the confidence that Amazon stands behind every product and will make it right in the rare chance anything goes wrong. We do this in close partnership with our selling partners and empower them with best-in-class tools and expertise required to offer a high-quality selection of compliant products that customers trust. When we do this consistently, we help selling partners grow their business and power their long-term success. As a Senior Applied Scientist on the team, you will be responsible for delivering the science solutions required to automate complex manual investigation processes, especially by leveraging LLMs. You will handle Amazon scale use-cases with significant impact to the cost of serving Customers. Key job responsibilities - You invent and design new solutions for scientifically-complex problem areas and/or opportunities in existing or new business initiatives. - You design experiments and define the science approach to solve critical business use-cases for automating manual work that involves unstructured text, documents, images, symbols, etc. - Your work focuses on ambiguous problem areas at the product level, where the business problem or opportunity may not yet be crisply defined. - You drive or heavily influence the design of scientifically-complex software solutions or systems, for which you personally write significant parts of the critical scientific novelty. - You provide a system-wide view and design guidance for solutions that can be brand new or evolve from existing ones. - You apply and set the example for best practices in software engineering, and systematically peer review code written by your team members. - You set standards and proactively drive components to use and improve on state-of-the-art techniques. - You autonomously drive thoughtful discussions with customers, engineers, and scientist peers, and build consensus on larger projects and factor complex efforts into independent tasks that can be performed by you and others. About the team Investigation technology Product team in TSE is responsible for the human-in-the-loop products and technology used in the risk investigations at Amazon. The team is also responsible for reducing the cost of performing the investigations, by automating wherever possible and optimizing the experience where manual interventions are needed. The team leverages state-of-the art technology and GenAI to deliver the products and associated goals.