Careers

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. As a core product offering within our advertising portfolio, Sponsored Products (SP) helps merchants, retail vendors, and brand owners succeed via native advertising, which grows incremental sales of their products sold through Amazon. The SP team's primary goals are to help shoppers discover new products they love, be the most efficient way for advertisers to meet their business objectives, and build a sustainable business that continuously innovates on behalf of customers. 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! Search Supply and Experiences, within Sponsored Products, develops cutting-edge AI solutions to improve shopper discovery experiences. Our efforts our focused on solving these large and ambiguous problem for both the Search page and more recent conversational-based shopping experience. To accomplish this, we are investing in large language models (LLM), multi-modal Generative AI models, and other related DL methods. We work collaboratively across other organizations and influence the design of experiences that improve the shopper experience on Amazon by making discovery easy and efficient. We are looking for a passionate Principal Applied Scientist with expertise in the fields of Artificial Intelligence (AI), Natural Language Processing (NLP), and Information Retrieval, to invent and build scalable solutions for improving sponsored products experience in the context of Amazon Search. A successful candidate will have a 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 end-to-end Generative AI solutions (mainly with LLMs and multi-modal foundation models), enjoy operating in dynamic environments, be self-motivated to take on challenging high-ambiguity problems to deliver big customer impact. Key job responsibilities As a Principal Applied Scientist in the team, you will: - Seek to understand in depth the Sponsored Products offering at Amazon and identify areas of opportunities to grow our business using AI 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 AI roadmaps and solutions aimed at helping our Amazon shoppers have a delightful shopping experience while creating long term value for our sellers. - Work with our engineering partners and draw upon your experience to meet latency and other system constraints. - Be an influencer, and drive the strategic and scientific vision in collaboration with partner teams. - 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 innovations to the broader internal & external scientific community. We are open to hiring candidates to work out of one of the following locations: New York, NY, USA

Amazon’s Global Media and Entertainment (GME) organization is creating a future of entertainment where creative content, innovation, and commerce come together. We leverage Amazon’s unique expertise across video, music, gaming, and more to create a truly immersive entertainment experience. Our team, GME Science, is focused on building science tools to optimize Amazon’s entertainment offerings, so that we can provide a great customer experience while operating as a sustainable and profitable business. We push ourselves to Think Big, building ambitious models that create value in multiple GME businesses. This role will expand our team’s marketing measurement work. Offsite marketing is a major expense for every GME business, but given business constraints and observational noise, evaluating the impact of a given campaign is challenging. Our team works with measurement teams in each business as well as central measurement teams to build foundational marketing measurement science and adapt it for unique use cases. Our team wrestles with questions like: • What’s the ROI of a particular experimental design in marketing, considering the costs of running it and the benefits from validation and calibration? • How can we ensure that diverse marketing measurement approaches used across Amazon are truly comparable with one another, for pan-Amazon optimization? • How should we understand the costs and benefits of onsite vs. offsite marketing? • How much impact does a campaign run by one business have on other Amazon businesses? To be successful in this role, you will need effective communication, an ability to work closely with stakeholders across our many GME partner teams, and the skill to translate data-driven findings into actionable insights. This includes developing a deep understanding of our business context, which is ambiguous and can change quickly. Your work will be used by decision-makers across GME to deliver the best entertainment experience for our customers, which means we have a high bar. Our healthy team culture is supportive and fast-paced, and we prioritize learning, growth, and helping each other to continuously raise the bar. Impact and Career Growth In today’s entertainment landscape, critical decisions are made with data and economic models. You’ll help GME leaders ask the right questions, and then deliver data-driven answers, creating the future of GME at Amazon. You’ll help define a long-term science vision in this space and translate it into an actionable roadmap. This role combines science leadership, organizational ability, technical strength, product focus, and business understanding – a perfect recipe for career growth as an economist in tech. Key job responsibilities • Design and build econometric models, especially causal models, to measure the value of the business and its many features • Develop science products from concept to prototype to production, incorporating feedback from scientists and business partners • Independently identify and pursue new opportunities to leverage economic insights across GME businesses • Write business and technical documents communicating business context, methods, and results to business leadership and other scientists • Serve as a technical reviewer for our team and related teams, including document and code reviews We are open to hiring candidates to work out of one of the following locations: Culver City, CA, USA | New York, NY, USA | Seattle, WA, USA

We are looking for detail-oriented, organized, and responsible individuals who are eager to learn how to work with large and complicated data sets. Some knowledge of econometrics, as well as basic familiarity with Python is necessary, and experience with SQL would be a plus. These are full-time positions at 40 hours per week, with compensation being awarded on an hourly basis. You will learn how to build data sets and perform applied econometric analysis at Internet speed collaborating with economists, scientists, and product managers. These skills will translate well into writing applied chapters in your dissertation and provide you with work experience that may help you with placement. Roughly 85% of previous cohorts have converted to full time economics employment at Amazon. If you are interested, please send your CV to our mailing list at econ-internship@amazon.com. We are open to hiring candidates to work out of one of the following locations: San Diego, CA, USA

We are seeking experienced Senior Applied Machine Learning Scientists to develop innovative ML solutions in anomaly detection with use cases of price error detection. Amazon retail pricing generates algorithmic prices for 100s of millions of products weekly and ensuring we publish error free and validated price is key to our core retail business. Key job responsibilities - You will partner with engineers, and product leaders to break down complex price error issues, identify key requirements, innovate, design, & deploy appropriate scientific solutions, and successfully drive the creation of positive customer and business impact - You will summarize your research findings, and present via internal papers and science forms - You are adept at translating business objectives into specific quantitative approaches that can be solved with the vast amount of available Amazon data - You are passionate about the getting the science details right, while balancing the practical considerations of real world production models. About the team Retail pricing science is a centralized diverse team of STEM scientists that develop statistical, ML, RL, optimization and economic models that drive pricing for products sold by Amazon worldwide, as well as monitoring of prices and experimentations in pricing. The team has a dual focus on competitiveness and long term financial optimality. We are open to hiring candidates to work out of one of the following locations: Seattle, WA, USA

The Artificial General Intelligence (AGI) team is looking for a passionate, talented, and inventive Manager Applied Science with a strong deep learning and LLM background, to build industry-leading foundation models. As an Applied Science Manager at Amazon, you will lead a team of scientists in the invention, design, development, and deployment of services that impact millions of users each day. In this role, you will use your management, research and production experience to develop the team, communicate direction and achieve the results in a fast-paced environment. You will have significant influence on our overall LLM strategy by helping define product features, drive the system architecture, and spearhead the best practices that enable a quality product. About the team The AGI team has a mission to push the envelope in Automatic Speech Recognition (ASR), Natural Language Understanding (NLU), and Audio Signal Processing, in order to provide the best-possible experience for our customers. Key job responsibilities • Conducting and coordinating research leading to improved Alexa AI systems. • Owning the strategic planning and project management for technical initiatives. • Providing technical and scientific guidance to your team members. • Communicating effectively with senior management as well as with colleagues from science, engineering and business backgrounds. • Supporting the career development of your team members. We are open to hiring candidates to work out of one of the following locations: Pittsburgh, PA, USA

As a Principal Applied Scientist, you are a trusted leader and part of technical leadership. You will drive the next phase of innovation, pushing scientific boundaries to solve the most complex problems. You will draw on vast experience in industry to set the standard for scientific excellence. You will make decisions that impact the way we build our products, creating even better experiences for our customers. Key job responsibilities Define key research directions, adopting or inventing new machine learning techniques Conduct rigorous experiments, publishing results, and ensuring that research is applied. Develop long-term strategies, influencing teams to adopt those strategies, propose goals and deliver on them. Participate in organizational planning, hiring, mentorship and leadership development. Be technically fearless, with a passion for building scalable science and engineering solutions. Act as a key scientific resource in full-cycle development (conception, design, implementation, testing to documentation, delivery, and maintenance). We are open to hiring candidates to work out of one of the following locations: Sunnyvale, CA, USA

Are you captivated by the potential of generative AI to revolutionize user experiences? We offer a rare opportunity to blend your enthusiasm for cutting-edge innovations with the goal of enhancing Amazon's customer experience. This role involves leveraging Generative AI to create visually engaging and personalized content, transforming how millions of Amazon's customers discover and interact with products. Key job responsibilities In this dynamic position, you will be at the forefront of developing, launching, and optimizing AI-powered visual content across Amazon's digital interfaces. Working closely with a multidisciplinary team of applied scientists, software engineers, designers, and product managers, you will help shape our strategy and drive the implementation of cutting-edge solutions that enhance customer engagement through visually captivating personalized experiences. Your work will not only involve the application of Generative AI for visual content creation but also the utilization of Large Language Models to understand and predict customer preferences, delivering a truly personalized shopping journey. A successful candidate will have a robust background in conducting machine learning research and developing data analysis methodologies, strong technical proficiency, excellent communication skills, and a drive to achieve results in a dynamic research and development environment. - Designing and implementing new features and machine learned models, including the application of state-of-art deep learning to solve computer vision, image generation and personalization problems. - Analyzing data and metrics relevant to shopping experiences. - Working with teams worldwide on global projects.` About the team Amazon’s Merchandising Automation team is a high-performing group that leverages Amazon’s expertise in machine learning, big data, and distributed systems to deliver the best shopping experiences for our customers. We work full stack, from foundational backend systems to future-forward user interfaces. Our team’s culture is centered on rapid prototyping, rigorous experimentation, and data-driven decision-making. We care deeply about our customers, as well as the well-being and growth of our team members. We are looking for creative and innovative engineers with a similar penchant for deeply-technical problem solving and the ability to lead and deliver while upholding Amazon’s leadership principles. We are open to hiring candidates to work out of one of the following locations: Beijing, 11, CHN

The Artificial General Intelligent team (AGI) seeks an Applied Scientist with a strong background in machine learning and production level software engineering to spearhead the advancement and deployment of cutting-edge ML systems. As part of this team, you will collaborate with talented peers to create scalable solutions for an innovative conversational assistant, aiming to revolutionize user experiences for millions of Alexa customers. The ideal candidate possesses a solid understanding of machine learning fundamentals and has experience writing high quality software in production setting. The candidate is self-motivated, thrives in ambiguous and fast-paced environments, possess the drive to tackle complex challenges, and excel at swiftly delivering impactful solutions while iterating based on user feedback. Join us in our mission to redefine industry standards and provide unparalleled experiences for our customers. You will be expected to: · Analyze, understand, and model customer behavior and the customer experience based on large scale data · Build and measure novel online & offline metrics for personal digital assistants and customer scenarios, on diverse devices and endpoints · Create, innovate and deliver deep learning, policy-based learning, and/or machine learning based algorithms to deliver customer-impacting results · Build and deploy automated model training and evaluation pipelines · Perform model/data analysis and monitor metrics through online A/B testing · Research and implement novel machine learning and deep learning algorithms and models. We are open to hiring candidates to work out of one of the following locations: Bellevue, WA, USA | Boston, MA, USA

The retail pricing science and research group is a team of scientists and economists who design and implement the analytics powering pricing for Amazon’s on-line retail business. The team uses world-class analytics to make sure that the prices for all of Amazon’s goods and services are aligned with Amazon’s corporate goals. We are seeking an experienced high-energy Economist to help envision, design and build the next generation of retail pricing capabilities. You will work at the intersection of economic theory, statistical inference, and machine learning to design and implement in production new methods and pricing strategies to deliver game changing value to our customers. Key job responsibilities Amazon’s Pricing Science and Research team is seeking an Economist to help envision, design and build the next generation of pricing capabilities behind Amazon’s on-line retail business. As an economist on our team, you will work at the intersection of economic theory, statistical inference, and machine learning to design and implement in production new methods and pricing strategies to deliver game changing value for our customers. This is an opportunity for a high-energy individual to work with our unprecedented retail data to bring cutting edge research into real world applications, communicate the insights we produce to our leadership, and work with engineers to put economic research into production. This position is perfect for someone who has a deep and broad analytic background, is passionate about using mathematical modeling and statistical analysis to make a real difference. You should be familiar with modern tools for data science and business analysis and have experience coding with engineers to put projects into production. We are particularly interested in candidates with research background in applied microeconomics, econometrics, statistical inference and/or finance. A day in the life -Discussions with business partners, as well as product managers and tech leaders to understand the business problem -Brainstorming with other scientists and economists to design the right model for the problem in hand -Present the results and new ideas for existing or forward looking problems to leadership -Deep dive into the data -Modeling and creating working prototypes -Work with engineers to implement prototypes in production -Analyze the results and review with partners -Partnering with other scientists for research problems About the team The retail pricing science and research group is a team of scientists and economists who design and implement the analytics powering pricing for Amazon’s on-line retail business. The team uses world-class analytics to make sure that the prices for all of Amazon’s goods and services are aligned with Amazon’s corporate goals. We are open to hiring candidates to work out of one of the following locations: San Francisco, CA, USA | Seattle, WA, USA

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. Amazon AI is looking for world class scientists and engineers to join its AWS AI Labs to develop groundbreaking generative AI technologies like Amazon Q and CodeWhisperer. Our scientists push boundaries in large language models, Retrieval-Augmented Generation, code generation, conversational AI, and beyond to invent creative solutions. You will invent, implement, and deploy state-of-the-art machine learning solutions at Amazon scale, having a direct impact on revolutionary products used by millions. You will make breakthroughs that challenge the limits of AI and machine learning while collaborating with leading academics and interacting directly with customers to bring new research rapidly to production. A day in the life Diverse Experiences AWS values diverse experiences. Even if you do not meet all of the qualifications and skills listed in the job description, we encourage candidates to apply. If your career is just starting, hasn’t followed a traditional path, or includes alternative experiences, don’t let it stop you from applying. Why AWS? Amazon Web Services (AWS) is the world’s most comprehensive and broadly adopted cloud platform. We pioneered cloud computing and never stopped innovating — that’s why customers from the most successful startups to Global 500 companies trust our robust suite of products and services to power their businesses. Inclusive Team Culture Here at AWS, it’s in our nature to learn and be curious. Our employee-led affinity groups foster a culture of inclusion that empower us to be proud of our differences. Ongoing events and learning experiences, including our Conversations on Race and Ethnicity (CORE) and AmazeCon (gender diversity) conferences, inspire us to never stop embracing our uniqueness. Mentorship & 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 in the cloud. Hybrid Work We value innovation and recognize this sometimes requires uninterrupted time to focus on a build. We also value in-person collaboration and time spent face-to-face. Our team affords employees options to work in the office every day or in a flexible, hybrid work model near one of our U.S. Amazon offices. About the team The Amazon Web Services (AWS) Next Gen DevX (NGDE) team uses generative AI and foundation models to reimagine the experience of all builders on AWS. From the IDE to web-based tools and services, AI will help engineers work on large and small applications. We explore new technologies and find creative solutions. Curiosity and an explorative mindset can find a place here to impact the life of engineers around the world. If you are excited about this space and want to enlighten your peers with new capabilities, this is the team for you. We are open to hiring candidates to work out of one of the following locations: New York, NY, USA | Santa Clara, CA, USA | Seattle, WA, USA