Careers

Conversational AI ModEling and Learning (CAMEL) team is part of Amazon Devices organization where our mission is to build a best-in-class Conversational AI that is intuitive, intelligent, and responsive, by developing superior Large Language Models (LLM) solutions and services which increase the capabilities built into the model and which enable utilizing thousands of APIs and external knowledge sources to provide the best experience for each request across millions of customers and endpoints. We are looking for a passionate, talented, and resourceful 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 conversational AI. 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 Generative AI solutions with LLMs, enjoy operating in dynamic environments, be self-motivated to take on challenging problems to deliver big customer impact, moving fast to ship solutions and then iterating on user feedback and interactions. Key job responsibilities As an Applied Scientist, you will leverage your technical expertise and experience to collaborate with other talented applied scientists and engineers to research and develop novel algorithms and modeling techniques to reduce friction and enable natural and contextual conversations. You will analyze, understand and improve user experiences by leveraging Amazon’s heterogeneous data sources and large-scale computing resources to accelerate advances in artificial intelligence. You will work on core LLM technologies, including Prompt Engineering and Optimization, Supervised Fine-Tuning, Learning from Human Feedback, Evaluation, Self-Learning, etc. Your work will directly impact our customers in the form of novel products and services.

Join Amazon's International Seller Services (ISS) Economics team and shape how millions of sellers succeed in the worldwide marketplace through causal inference, LLMs, and generative AI. You'll combine rigorous economic methods with real business impact, building the frameworks and measurement systems that define the future of Amazon's seller services. Key job responsibilities In this role, you will be a people manager and a technical leader in Econometric research with significant scope, impact, and high visibility. You will own developing the economics charter in ISS combining scientific methods with business needs. Your solution will deliver to business leaders accurate and actionable insights and recommendations to optimize and expand their business. As a successful Science Manager, you can navigate ambiguity, lead problem solving, guide development of new frameworks, and credibly interface between technical teams and business stakeholders. You are an innovator who can push the limits on what’s scientifically possible with a razor sharp focus on measurable business impact. You will coach and guide scientists in your team across different job families including Economists, Data Scientists and Applied Scientists to grow the team’s talent and scale the impact of your work. About the team The International Seller Services (ISS) Economics team shapes Amazon's global seller ecosystem through sophisticated economic analysis and data-driven insights. Our mission is to transform how Amazon empowers millions of sellers to succeed in the worldwide digital marketplace.

Amazon.com strives to be Earth's most customer-centric company where customers can shop in our stores to find and discover anything they want to buy. We hire the world's brightest minds, offering them a fast paced, technologically sophisticated and friendly work environment. Economists at Amazon partner closely with senior management, business stakeholders, scientist and engineers, and economist leadership to solve key business problems ranging from Amazon Web Services, Kindle, Prime, inventory planning, international retail, third party merchants, search, pricing, labor and employment planning, effective benefits (health, retirement, etc.) and beyond. Amazon Economists build econometric models using our world class data systems and apply approaches from a variety of skillsets – applied macro/time series, applied micro, econometric theory, empirical IO, empirical health, labor, public economics and related fields are all highly valued skillsets at Amazon. You will work in a fast moving environment to solve business problems as a member of either a cross-functional team embedded within a business unit or a central science and economics organization. You will be expected to develop techniques that apply econometrics to large data sets, address quantitative problems, and contribute to the design of automated systems around the company. About the team The International Seller Services (ISS) Economics team is a dynamic group at the forefront of shaping Amazon's global seller ecosystem. As part of ISS, we drive innovation and growth through sophisticated economic analysis and data-driven insights. Our mission is critical: we're transforming how Amazon empowers millions of international sellers to succeed in the WW digital marketplace. Our team stands at the intersection of innovative technology and practical business solutions. We're leading Amazon's transformation in seller services through work with Large Language Models (LLMs) and generative AI, while tackling fundamental questions about seller growth, marketplace dynamics, and operational efficiency. What sets us apart is our unique blend of rigorous economic methodology and practical business impact. We're not just analyzing data – we're building the frameworks and measurement systems that will define the future of Amazon's seller services. Whether we're optimizing the seller journey, evaluating new technologies, or designing innovative service models, our team transforms complex economic challenges into actionable insights that drive real-world results. Join us in shaping how millions of businesses worldwide succeed on Amazon's marketplace, while working on problems that combine economic theory, advanced analytics, and innovative technology.

The Amazon Fulfillment Technologies (AFT) Science team is seeking an exceptional Sr. Applied Scientist with strong operations research and optimization expertise to develop production solutions for one of the most complex systems in the world: Amazon's Fulfillment Network. At AFT Science, we design, build, and deploy optimization, statistics, machine learning, and GenAI/LLM solutions that power production systems running across Amazon Fulfillment Centers worldwide. We tackle a wide range of challenges throughout the network, including labor planning and staffing, pick scheduling, stow guidance, and capacity risk management. Our mission is to develop innovative, scalable, and reliable science-driven production solutions that exceed the published state of the art, enabling systems to run optimally and continuously (from every few minutes to every few hours) across our large-scale network. Key job responsibilities As a Senior Applied Scientist, you will collaborate with scientists, software engineers, product managers, and operations leaders to drive the end-to-end lifecycle of optimization-driven solutions that directly impact process efficiency and associate experience in the worldwide fulfillment network. Your key responsibilities include: * Develop deep understanding and domain knowledge of operational processes, system architecture, and business requirements * Dive deep into data and code to identify opportunities for continuous improvement and disruptive new approaches * Design and develop scalable mathematical models for production systems to derive optimal or near-optimal solutions for existing and emerging challenges * Create prototypes and simulations for agile experimentation of proposed solutions * Advocate for technical solutions with business stakeholders, engineering teams, and senior leadership * Partner with software engineers to integrate prototypes into production systems * Design and execute experiments to test new or incremental solutions launched in production * Build and monitor metrics to track solution performance and business impact About the team Amazon Fulfillment Technologies (AFT) designs, develops, and operates end-to-end fulfillment technology solutions that power Amazon Fulfillment Centers worldwide. AFT integrates software, science, and operational processes to optimize how inventory is received, stored, picked, packed, and shipped, enabling Amazon customers to receive the right products at the right time. AFT Science is the central science organization driving scientific solution empowering across all critical AFT charters including inbound, outbound, and labor planning. The Fulfillment Operations Research (FOR) team within AFT Science specializes in optimization, statistics, machine learning, and GenAI/LLM. The team partners closely with software engineering, product, and operations teams to deliver scalable and reliable production solutions while advancing the state of the art in optimization, machine learning, and decision science.

Amazon is building a world class advertising business and defining and delivering a collection of self-service performance advertising products that drive discovery and sales of merchandise. Our products are strategically important to our Retail and Marketplace businesses, driving long-term growth. Sponsored Ads helps merchants, retail vendors, and brand owners grows incremental sales of their products sold on Amazon through native advertising. Sponsored Ads achieves this by using a combination of machine learning, big data analytics, ultra-low latency high-volume engineering systems, and quantitative product focus. If you are looking to make an impact, this is the team for you. You will join a newly-founded team with a broad mandate to experiment and innovate, which will give you the flexibility to develop systems and services from the ground up. As a Principal Applied Scientist in FAIM, you will help build new foundational AI technologies from the ground up and create and launch features for advertisers globally. You will partner with engineers, product managers, TPMs, and senior management to help create these world-class solutions. Most importantly, you will have an opportunity to grow and broaden your technical and scientific skills as you work in an environment that thrives on creativity, experimentation, and collaboration. Key job responsibilities Develop optimization strategies for Full-Funnel Ads Campaigns at Amazon Work with the leadership team on long-range AI/ML plans for Full Funnel Ads Campaigns Help the team adopt the latest SOTA technologies for large scale advertising

We are hiring a Senior Manager, Economics to the Sales Channels team within Amazon Web Services (AWS) Central Econ and Science team. The team partners with the business to optimize sales motions, partner programs, and incentives in multi-sided marketplaces. The problem space includes experimental, quasi-experimental, and observational research design, establishing telemetry for future measurement, and the development of recommendation systems and incentive plans. This role will support a strong team in both sourcing new workstreams and executing existing workstreams. We will consider Applied Scientists with experience working with economists for this role. Key job responsibilities This role interfaces directly with executives, product/program owners, science leadership, and science ICs to create multi-year research agendas that drive step-change growth for the business. As this role is responsible for setting and executing the priorities of a centralized team, stakeholder management, working backward and partnering to work across teams (earns trust) is vital. The team’s mandate includes disambiguating structural relationships, so a strong grounding in applied theory is key to success in this position. The role will also own both production recommendation systems and feature generation for external systems, so experience with production-level development is important. This role will shape the strategic direction of the AWS Central Economics and Science team and collaborate with other science teams at AWS, especially those working on developing policies so that AWS sellers and partners meet customers where they are and help them grow. A day in the life Our team takes big swings and works on hard cross-organizational problems where success is long term and not guaranteed. We expect team members to grow their skills in a supportive and collegial environment. We expect and measure impact, and we hold each other to high standards. We work hard during work hours, but we also don’t encourage working at nights or on weekends: burn out isn’t a successful long run strategy. Because we invest in the long run success of our group it’s important to have hobbies, relax and then come to work refreshed and excited. It makes for bigger impact, faster skill accrual and thus career advancement. About the team Our group is technically rigorous and encourages ongoing academic conference participation and publication. Our leaders are here for you and to enable you to be successful. We believe in being servant leaders focused on influence: good data work has little value if it doesn’t translate into actionable insights that are rolled out and impact the real economy. We emphasize clear, consistent communication since being able to explain what we do ensures high success rates and lowers administrative churn. Also: we laugh a lot. If it’s not fun, what’s the point?

Alexa for Shopping (Rufus) is Amazon's new AI-powered shopping assistant that combines the capabilities of Rufus and Alexa+ to provide a more personalized and intelligent shopping experience. We are building the future of AI-powered commerce, where every customer interaction is conversational, personalized, and proactive. We are seeking a Director, Applied Science to lead the science vision and execution for the next-generation conversational AI platform. This leader will own the end-to-end science roadmap for a multi-agent architecture powered by large language models (LLMs), SLMs, reinforcement learning (RL), and post-training optimization to deliver the most helpful, accurate, and fastest AI shopping assistant in the industry. This is a transformational leadership role. You will lead the science that makes this possible: distilling Amazon's vast data assets into rich context, building specialized models through fine-tuning and RL that match frontier model quality at a fraction of the latency, and architecting intelligent agent routing across diverse use cases (pre-purchase, post-purchase, cross-Amazon services). The ideal candidate is deeply steeped in LLM-based architectures, post-training techniques (RLHF, DPO, fine-tuning), and multi-agent systems. They are passionate about applied science, working back from customer experience to define what matters, and building teams that ship production AI at scale. This leader will shape the science philosophy for one of Amazon's highest-visibility AI initiatives. Key job responsibilities - Define and execute the science strategy for Alexa for Shopping conversational AI platform - Lead a large, multidisciplinary organization of Applied Scientists, Research Scientists, and Machine Learning Engineers. - Architect and scale multi-agent systems - Partner with Product, Engineering, and senior leadership (including S-team) to align AI investments with long-term business goals and the vision of conversational commerce replacing traditional shopping paradigms. - Establish scientific best practices across experimentation, evaluation, model iteration, and production deployment for a high-traffic, latency-sensitive customer-facing system. - Mentor and develop senior technical leaders; foster a culture of innovation, customer obsession, and operational excellence.

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 subscriptions such as Apple TV+, HBO Max, Peacock, 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 team member, 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! Key job responsibilities - Lead research and development of speech and audio generation technology and end-to-end speech-to-speech architecture - Develop audio processing solutions for production environments, including source separation, enhancement, and mixing - Define the research roadmap for your area, identify high-impact problems, and communicate technical direction to senior leadership - Publish research, contribute to the broader scientific community, and bring external advances into production systems - Hire, mentor, and develop applied scientists. Grow the team's capabilities to meet evolving customer and business needs About the team This team's mission is to deeply understand all content and empower all customers with relevant language options, innovative accessibility assists, and rich title-information across all their content-experiences on Prime Video. We create and publish content on-time that's meaningful, accurate, and accessible to every customer globally. We delight our customers by pushing the boundaries of content understanding and enrichment. Through inclusion and innovation, we do the most fulfilling work of our career.

We are working on improving shopping on Amazon using the conversational capabilities of large language models and through customer behavioral data to make them more personalized for each customer. We are searching for pioneers who are passionate about technology, innovation, and customer experience, and are ready to make a lasting impact on the industry. In this role, you will be managing a team working on Large Language Model (LLM) and/or Vision-Language Model (VLM) post-training and alignment for new shopping experiences. You’ll be working with talented scientists, engineers, and technical program managers (TPM) to innovate on behalf of our customers. If you’re fired up about being part of a dynamic, driven team, then this is your moment to join us on this exciting journey!

Come and be a part of Amazon’s amazing growth story and innovation! Amazon Global Mile Tech is chartered to build a comprehensive portfolio of products that provides Shippers end-to-end transportation, node processing and foundational capabilities to ship packages internationally across a global network of connected arcs and nodes in a variety of scenarios (imports, exports and trans shipments). There are millions of such packages, each with different attributes, delivery requirements and international commerce and customs constraints. What results is a complex graph of source, intermediate and destination nodes with their arcs crossing international borders and associated with different costs and transit times. Accounting for all these constraints and maximizing the number of shipments shipped, while minimizing cost, providing a variety of customer delivery options and maximizing delivery performance is our primary focus. We are building world class technology cutting across deep algorithmic problems, brand new tools that cater to multi-party business scenarios and challenging data models that are evolving very quickly. Our systems touch every single package that travels internationally which mandates building of highly available and scalable distributed systems. Besides technology, there are ample opportunities in the team to build domain expertise of international transportation and supply chain realms and get first-hand experience of the Amazon operations by interacting directly with our global internal and external partners, and of course the esteemed senior engineering talent pool. We are looking for a highly talented applied scientist to be part of our science team in Bellevue, WA. In this role, you will partner with business and technical teams to design and document requirements, and develop technical strategies and software roadmaps for delivery of features. You will be part of passionate group of scientists in optimizing large scale distributed technology solutions and also innovating new ideas and providing technology directions to our business in the domain of imports and exports logistics. We have many key initiatives lined-up to support our rapid evolution and growth of international transportation network by solving some of the most challenging problems in this domain. https://youtu.be/wmjfqQj3UkA Key job responsibilities • Develop accurate and scalable optimization, mathematical programming, and heuristic methods to solve our hardest transportation problems. • Lead and partner with the engineering and operations teams to drive modeling and technical design for complex business problems in transportation. • Lead complex modeling analyses to aid management in making key business decisions and set new policies. • Lead exploration of reinforcement learning techniques to augment optimization algorithms. A day in the life If 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! Benefits: 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) Plan Learn more about our benefits here: https://amazon.jobs/en/internal/benefits/us-benefits-and-stock