Careers

Are you interested in shaping the future of Advertising and B2B Sales? We are a growing science and engineering team with an exciting charter and need your passion, innovative thinking, and creativity to help take our products to new heights. Amazon Advertising is one of Amazon's fastest growing and most profitable businesses, responsible for defining and delivering a collection of advertising products that drive discovery and sales. Our products are strategically important to our businesses driving long term growth. We break fresh ground in product and technical innovations every day! Within the Advertising Sales organization, we are building a central AI/ML team and are seeking top science talent to build new, science-backed services to drive success for our customers. Our goal is to transform the way account teams operate by creating actionable insights and recommendations they can share with their advertising accounts, and ingesting Generative AI throughout their end-to-end workflows to improve their work efficiency. As a part of our team, you will bring deep expertise in quantitative modeling (forecasting, recommender systems, reinforcement learning, causal inferencing or generative artificial intelligence) to build and refine models that can be implemented in production. You will be a thought leader as we chart new courses with our ad sales support technologies, and you have the communication skills necessary to explain complex technical approaches to a variety of stakeholders and customers. As a senior lead, you will have the excitement to take iterative approaches to tackle big, long-term problems. Why you will love this opportunity: Amazon has invested heavily in building a world-class advertising business. This team defines and delivers a collection of advertising products that drive discovery and sales. Our solutions generate billions in revenue and drive long-term growth for Amazon's Retail and Marketplace businesses. We deliver billions of ads impressions, millions of clicks daily, and break fresh ground to create world-class products. We are a highly motivated, collaborative, and fun-loving team with an entrepreneurial spirit with a broad mandate to experiment and innovate. Impact and Career Growth: You will invent new experiences and influence customer-facing shopping experiences; this is your opportunity to work within the fastest growing businesses across all of Amazon! Define a long-term scientific vision for our advertising sales business, driven from our customers' needs, translating that direction into specific plans for scientists, engineers and product teams. This role combines scientific leadership, organizational ability, technical strength, product focus, and business understanding. Key job responsibilities - Conceptualize and lead state-of-the-art research on new Machine Learning and Generative Artificial Intelligence solutions to optimize all aspects of the Ad Sales business - Guide the technical approach for the design and implementation of successful models and algorithms in support of expert cross-functional teams delivering on demanding projects - Conduct deep data analysis to derive insights to the business, and identify gaps and new opportunities - 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 About the team Sales AI is a central science and engineering organization within Amazon Advertising Sales that powers selling motions and account team workflows via state-of-the-art of AI/ML services. Sales AI is investing in a range of sales intelligence models, including the development of advertiser insights, recommendations and Generative AI-powered applications throughout account team workflows.

Join the Worldwide Sustainability (WWS) organization where we capitalize on our size, scale, and inventive culture to build a more resilient and sustainable company. WWS manages our social and environmental impacts globally, driving solutions that enable our customers, businesses, and the world around us to become more sustainable. Sustainability Science and Innovation is a multi-disciplinary team within the WW Sustainability organization that combines science, analytics, economics, statistics, machine learning, product development, and engineering expertise to identify, evaluate and/or develop new science, technologies, and innovations that aim to address long-term sustainability challenges. We are seeking an exceptional scientific leader to join Amazon’s Sustainability Science and Innovation team as the Head of Sustainable Materials Science & Digital Innovation. This role will tackle complex sustainability challenges in critical industrial sectors through science-driven innovation and strategic partnerships. Leading a team of research scientists and engineers, you will drive breakthrough solutions in materials and energy sciences that can scale across Amazon and beyond. As the leader of our Sustainability Materials Innovation Lab, you will shape the scientific foundation for next-generation sustainable technologies. Your work will focus on developing early-stage, cost-effective solutions across major industrial sectors that are fundamental to Amazon's operations but present significant technical and economic challenges. You will be responsible for setting and executing the vision for a laboratory facility that leverages data science and AI to accelerate innovation. You will also collaborate closely with partner labs across our Sustainability Innovation Lab Network. This role requires deep scientific expertise combined with strategic vision to navigate complex trade-offs between short-term gains and long-term impact. You will work closely with partner teams across Amazon to translate scientific innovation into practical solutions, while building and managing strategic partnerships with universities, industry scientists, and government laboratories. Your team's work will be instrumental in developing disruptive concepts and mechanisms that can drive significant environmental impact through science and innovation. Key job responsibilities - Lead and manage a team of scientists and engineers - Drive innovation in key focus areas including packaging materials (paper and plastics), building materials (concrete and steel), and alternative fuels (renewable diesel, sustainable aviation fuels, hydrogen) - Lead research and development of cross-cutting technologies for industrial decarbonization, including building the data foundation and analytics for new AI models. - Develop and manage strategic partnerships with universities, industry scientists, and government labs - Write and manage research proposals with external partners - Launch and execute multi-year projects in collaboration with internal and external partners - Work cross-functionally across different business units and stakeholders - Provide technical leadership and strategic guidance on materials and energy innovation projects About the team Diverse Experiences: World Wide Sustainability (WWS) values diverse experiences. Even if you do not meet all of the qualifications and skills listed in the job description, we encourage candidates to apply. If your career is just starting, hasn’t followed a traditional path, or includes alternative experiences, don’t let it stop you from applying. Inclusive Team Culture: 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 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 flexible work hours and arrangements are part of our culture. When we feel supported in the workplace and at home, there’s nothing we can’t achieve.

The Alexa Conversational Assistants Services (CAS) org is looking for a Senior Applied Scientist with a background in Computer Vision, Natural Language Processing, and Large Language Models (LLMs). You will be working with a team of applied and research scientists to enhance existing features and explore new possibilities behind the new Alexa product. Our goal is to make step function improvements in the use of advanced multi-modal LLM models on very large scale computer vision datasets. This is a rare opportunity to develop cutting edge Computer Vision and Deep Learning technologies and apply them to a problem of this magnitude. Some exciting questions that we expect to answer over the next few years include: * How can multi-modal inputs in LLMs help us deliver delightful conversational experiences to millions of Alexa customers? * Can combining multi-modal data and very large scale LLM models help us provide a step-function improvement to the overall model understanding and reasoning capabilities? We are looking for exceptional scientists who are passionate about innovation and impact, and want to work in a team with a startup culture within a larger organization. Please visit https://www.amazon.science for more information.

MULTIPLE POSITIONS AVAILABLE Employer: AMAZON.COM SERVICES LLC Offered Position: Data Scientist III Job Location: Chicago, Illinois Job Number: AMZ9082360 Position Responsibilities: Support senior management by managing metrics reporting and performing mathematical and statistical modeling to produce business forecasts. Research, design, and develop new forecasting technologies to help Amazon leverage its data to support business functions through complicated mathematical modeling. Utilize database technologies, including SQL, ETL, and Oracle to design, develop, and evaluate highly innovative business intelligence tools and automated reports for campaign targeting and optimization. Transform complicated business problems into mathematics modeling and provide data-driven solutions. Perform statistical analysis, including clustering, cross-session and panel data regression using R, SAS, STATA, and SPSS. Establish scalable, efficient, automated processes for large scale data analyses, model development, model validation, and model implementation. Position Requirements: Master’s degree or foreign equivalent degree in Computer Science, Engineering, Mathematics, Statistics, Economics, or a related field and one year of experience in the job offered, or as a Data Engineer, Data Miner, or a related occupation. Employer will accept a Bachelor’s degree or foreign equivalent degree in Computer Science, Engineering, Mathematics, Statistics, Economics, or a related field and five years of progressive post-baccalaureate experience in the job offered or a related occupation as equivalent to the Master's degree and one year of experience. Must have one year of experience in the following skill(s): (1.) using SQL, ETL or Oracle; (2.) processing large, multi-dimensional datasets from multiple sources; and (3.) developing automated reporting. Partial telecommuting permitted; employees will be required to report to office multiple days per week. Amazon.com is an Equal Opportunity-Affirmative Action Employer – Minority / Female / Disability / Veteran / Gender Identity / Sexual Orientation. 40 hours / week, 8:00am-5:00pm, Salary Range $159,200/year to $215,300/year. #0000

Amazon Shopping Videos (ASV) is a new strategic program in Advertisement that leverages the potential of video to help millions of customers find product inspiration through videos. ASV is seeking an exceptionally skilled and enthusiastic Applied Scientist to join the Amazon Live team. Our mission is to provide a delightful video experience to Amazon’s customers by pushing the envelope in Computer Vision, image processing and multimodal LLM. Key job responsibilities You will work collaborate closely with product managers and work alongside with other scientists to develop novel approaches, algorithms and modeling techniques to improve live streaming experience for our customers and influencers. You will conduct research in computer vision and natural language processing to develop new models and algorithms to solve for content personalization, image and video understanding, and recommendation systems. You will collaborate closely with the engineering teams to integrate the models into the production systems. About the team ASV's mission is to help millions of customers find product inspiration, learn more about products they are interested in, and interact with creators and their communities every day across the globe. We enable customers to find relevant content and explore our vast library of product-focused videos on our home experiences across desktop, mobile and FireTV, and throughout their shopping journey on Amazon. We are very much a startup within Amazon aiming to reinvent the way customers use video to shop, and we are looking for motivated, thoughtful self-starters who can partner effectively across our multi-disciplinary teams to drive innovation.

Amazon Sponsored Products is investing heavily in building a world class advertising business and we are responsible for defining and delivering a collection of GenAI/LLM powered 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 GenAI initiatives that help advertisers create and manage performant SP campaigns. We develop AI powered experiences to help advertisers use advertising 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 GenAI, LLM, and ML solutions. • Mentor and guide the applied scientists in our organization and hold us to a high standard of technical rigor and excellence in AI/ML. • Design and lead organization-wide AI/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 Generative AI/ Traditional AI/ML innovations to the broader internal & external scientific community.

Are you passionate about working with Amazon-scale data, deep analytics, and data science? Do you thrive on developing innovative models and insights that elevate customer shopping experience while ensuring brand integrity and product accuracy? If so, join our team and play a pivotal role in shaping the future of Amazon’s Consumables shopping experience! We are looking for an experienced and self-driven Senior Data Scientist to help us leverage Amazon-scale data to improve the accuracy, integrity, and presentation of Consumables everyday essentials. If you are passionate about using data science to enhance customer shopping experiences, protect top brands, and ensure their products are represented accurately, this role is for you! In this role, you will further the development and application of modeling and analytics methods to examine the complex data flows of customer shopping data and brand catalogs, to generate actionable insights for a wide breadth of product teams. You will lead the development, improvement, and expansion of Amazon's systems and mechanisms for protecting and ensuring the accuracy of our everyday essentials product offerings. You will make high judgment decisions, present persuasive data cases to executive leadership, and have an enduring impact on the future of Amazon's Consumables online shopping experience. You will work closely with a high-energy team consisting of data science, data engineering, business intelligence engineering, and product management tech, as well as cross-functionally across many partner teams. You will lead your teammates and partner teams through high complexity with data modeling to arrive at clear strategic direction. The tools you build will have visibility at the highest levels of Amazon's leadership team. Key job responsibilities - Oversee multiple model development programs in various stages of the lifecycle, from conception to development, to launch, expansion, and retirement. - Lead and direct engineering of massive datasets, effective exploratory data analysis, and model building using industry standard AI/ML models. - Define creative, high-quality, long-term product roadmaps based on team strategy and vision. - Partner with engineering teams to define data logging requirements and getting these prioritized in engineering roadmaps. - Work with distributed machine learning and statistical algorithms to harness enormous volumes of data at scale to serve our customers. - Innovate by adapting new modeling techniques and procedures. - Manage prioritization and trade-offs among customer experience, performance, and operational support load. Design A/B tests and conduct statistical analysis on their results Mentor junior engineers and scientists Research and implement ML and statistical approaches to add value to the business A day in the life As a Senior Data Scientist in the Everyday Essential Brand Health (EEBH) team, your day will be dynamic and impactful. Your day might start with a review of current priorities which were aligned with your PM-T partners. Your morning could involve diving into an experiment’s results, analyzing the impact of a mechanism on product discoverability. Midday, you might collaborate with PM-Ts to review the result of a detection model and provide data-driven recommendations to optimize outputs. In the afternoon, you could be partnering with BIEs to enhance data pipelines, or presenting insights to leadership to drive strategic decisions. Throughout the day, you’ll be leveraging the latest data science techniques to solve complex problems, ensuring Amazon customers receive an accurate and trustworthy shopping experience for everyday essentials. About the team The Everyday Essential Brand Health (EEBH) team is dedicated to earning the trust of both customers and brand owners by ensuring the accurate and high-quality presentation of Consumables everyday essentials on Amazon. Our mission is to protect top brands, maintain product integrity, and enhance the shopping experience by leveraging data-driven insights and scalable solutions. We work at the intersection of data science, engineering, and product management to develop mechanisms that safeguard brand representation and ensure customers can confidently discover and purchase essential products with trust and ease.

The Artificial General Intelligence (AGI) team is looking for a highly skilled and experienced Applied Scientist. You will develop and implement state-of-the-art algorithms and models for advanced information retrieval, and tune LLM-based prompting to optimize Retrieval Augmented Generation (RAG) for customer experiences. As a Senior Applied Scientist, you will play a critical role developing Amazon's foundational Generative AI (Gen AI) technologies that serve our global customers. 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 Gen AI 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

Are you a MS or PhD student interested in a 2025 Internship in the field of machine learning, deep learning, speech, robotics, computer vision, optimization, quantum computing, automated reasoning, or formal methods? If so, we want to hear from you! We are looking for students interested in using a variety of domain expertise to invent, design and implement state-of-the-art solutions for never-before-solved problems. You can find more information about the Amazon Science community as well as our interview process via the links below; https://www.amazon.science/ https://amazon.jobs/content/en/career-programs/university/science https://amazon.jobs/content/en/how-we-hire/university-roles/applied-science Key job responsibilities As an Applied Science Intern, you will own the design and development of end-to-end systems. You’ll have the opportunity to write technical white papers, create roadmaps and drive production level projects that will support Amazon Science. You will work closely with Amazon scientists, and other science interns to develop solutions and deploy them into production. You will have the opportunity to design new algorithms, models, or other technical solutions whilst experiencing Amazon’s customer focused culture. The ideal intern must have the ability to work with diverse groups of people and cross-functional teams to solve complex business problems. A day in the life At Amazon, you will grow into the high impact, visionary person you know you’re ready to be. Every day will be filled with developing new skills and achieving personal growth. How often can you say that your work changes the world? At Amazon, you’ll say it often. Join us and define tomorrow. Some more benefits of an Amazon Science internship include; • All of our internships offer a competitive stipend/salary • Interns are paired with an experienced manager and mentor(s) • Interns receive invitations to different events such as intern program initiatives or site events • Interns can build their professional and personal network with other Amazon Scientists • Interns can potentially publish work at top tier conferences each year About the team Applicants will be reviewed on a rolling basis and are assigned to teams aligned with their research interests and experience prior to interviews. Start dates are available throughout the year and durations can vary in length from 3-6 months for full time internships.

Amazon Advertising is one of Amazon's fastest growing and most profitable businesses, responsible for defining and delivering a collection of advertising products that drive discovery and sales. Our products and solutions are strategically important to enable our Retail and Marketplace businesses to drive long-term growth. We deliver billions of ad impressions and millions of clicks and break fresh ground in product and technical innovations every day! As a Data Scientist on this team you will: - Lead Data Science solutions from beginning to end. - Deliver with independence on challenging large-scale problems with complexity and ambiguity. - Write code (Python, R, Scala, SQL, etc.) to obtain, manipulate, and analyze data. - Build Machine Learning and statistical models to solve specific business problems. - Retrieve, synthesize, and present critical data in a format that is immediately useful to answering specific questions or improving system performance. - Analyze historical data to identify trends and support optimal decision making. - Apply statistical and machine learning knowledge to specific business problems and data. - Formalize assumptions about how our systems should work, create statistical definitions of outliers, and develop methods to systematically identify outliers. Work out why such examples are outliers and define if any actions needed. - Given anecdotes about anomalies or generate automatic scripts to define anomalies, deep dive to explain why they happen, and identify fixes. - Build decision-making models and propose effective solutions for the business problems you define. - Conduct written and verbal presentations to share insights to audiences of varying levels of technical sophistication. Why you will love this opportunity: Amazon has invested heavily in building a world-class advertising business. This team defines and delivers a collection of advertising products that drive discovery and sales. Our solutions generate billions in revenue and drive long-term growth for Amazon’s Retail and Marketplace businesses. We deliver billions of ad impressions, millions of clicks daily, and break fresh ground to create world-class products. We are a highly motivated, collaborative, and fun-loving team with an entrepreneurial spirit - with a broad mandate to experiment and innovate. Impact and Career Growth: You will invent new experiences and influence customer-facing shopping experiences to help suppliers grow their retail business and the auction dynamics that leverage native advertising; this is your opportunity to work within the fastest-growing businesses across all of Amazon! Define a long-term science vision for our advertising business, driven from our customers' needs, translating that direction into specific plans for research and applied scientists, as well as engineering and product teams. This role combines science leadership, organizational ability, technical strength, product focus, and business understanding. Team video ~ https://youtu.be/zD_6Lzw8raE