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Careers

At Amazon, we believe that scientific innovation is essential to being the most customer-centric company in the world. Our scientists' ability to have an impact at scale allows us to attract some of the brightest minds in artificial intelligence and related fields.
496 results found
  • (Updated 1 days ago)
    Esta é uma posição de colaborador individual, com base em nosso escritório de São Paulo. Procuramos uma pessoa dinâmica, analítica, inovadora, orientada para a prática e com foco inabalável no cliente. Na Amazon, nosso objetivo é exceder as expectativas dos clientes, garantindo que seus pedidos sejam entregues com máxima rapidez, precisão e eficiência de custo. A determinação da rota de cada pacote é realizada por sistemas complexos, que precisam acompanhar o crescimento acelerado e a complexidade da malha logística no Brasil. Diante desse cenário, a equipe de Otimização de Supply Chain está à procura de um cientista de dados experiente, capaz de desenvolver modelos, ferramentas e processos para garantir confiabilidade, agilidade, eficiência de custos e a melhor utilização dos ativos. O candidato ideal terá sólidas habilidades quantitativas e experiência com conjuntos de dados complexos, sendo capaz de identificar tendências, inovar processos e tomar decisões baseadas em dados, considerando a cadeia de suprimentos de ponta a ponta. Key job responsibilities * Executar projetos de melhoria contínua na malha logística, aproveitando boas práticas de outros países e/ou desenvolvendo novos modelos. * Desenvolver modelos de otimização e cenários para planejamentos logísticos. * Criar modelos de otimização voltados para a execução de eventos e períodos de alta demanda. Automatizar processos manuais para melhorar a produtividade da equipe. * Auditar operações, configurações sistêmicas e processos que possam impactar custos, produtividade e velocidade de entregas. * Realizar benchmarks com outros países para identificar melhores práticas e processos avançados, conectando-os às operações no Brasil. About the team Nosso time é composto por engenheiros de dados, gerentes de projetos e cientistas de dados, todos dedicados a criar soluções escaláveis e inovadoras que suportem e otimizem as operações logísticas da Amazon no Brasil. Nossa missão é garantir a eficiência de todas as etapas da cadeia de suprimentos, desde a primeira até a última milha, ajudando a Amazon a entregar resultados com agilidade, precisão e a um custo competitivo, especialmente em um ambiente de rápido crescimento e complexidade.
  • US, WA, Seattle
    Job ID: 3106036
    (Updated 2 days ago)
    Employer: Amazon Web Services, Inc. Position: Applied Scientist III Location: Seattle, WA Multiple Positions Available: Participate in the design, development, evaluation, deployment and updating of data-driven models and analytical solutions for machine learning (ML) and/or natural language (NL) applications. Develop and/or apply statistical modeling techniques (e.g. Bayesian models and deep neural networks), optimization methods, and other ML techniques to different applications in business and engineering. Routinely build and deploy ML models on available data, and run and analyze experiments in a production environment. Identify new opportunities for research in order to meet business goals. Research and implement novel ML and statistical approaches to add value to the business. Mentor junior engineers and scientists. Telecommuting may be permitted. (40 hours / week, 8:00am-5:00pm, Salary Range $178006 - $226100) Amazon.com is an Equal Opportunity – Affirmative Action Employer – Minority / Female / Disability / Veteran / Gender Identity / Sexual Orientation
  • (Updated 4 days ago)
    Are you passionate about revolutionizing the way people interact with video content? Do you want to be at the forefront of integrating state of the art Generative AI technologies into the entertainment experience ? Prime Video X-Ray is seeking an enthusiastic Applied Scientist II to join our team in creating delightful customer-facing features that will redefine how millions of viewers engage with movies and TV shows globally. At Prime Video X-Ray, we're re-imagining the entire entertainment landscape. Our innovative features go beyond traditional viewing, offering an immersive, interactive experience that deepens viewers' connection with their favorite shows and movies. From AI-powered X-Ray Recaps that provide engaging summaries of complex story-lines to interactive elements that bring stories to life, our features are pushing the boundaries of what's possible in streaming entertainment. We are looking for an Applied Scientist II who can work on different aspects of video content, including text metadata, video, audio, and images. You'll apply a variety of techniques in computer vision, deep learning, machine learning, and image processing algorithms to build visual understanding, metadata extraction, and curation systems. You will be contributing to a platform that processes terabytes of video content data. You'll collaborate with other scientists and engineers across Amazon to implement new technologies, prototype solutions, and help deliver an exceptional customer experience. Working closely with software development teams, you'll assist in building robust vision-based solutions for customer-facing applications. This role requires a willingness to learn and adapt in an environment where problems haven't been addressed at scale before. We value initiative and ownership. You'll have the opportunity to contribute to practical applications, working with product teams, science backend, and various other teams across the organization. Your work will directly impact millions of users, as you help develop the next generation of viewing experiences with Prime Video X-Ray. If you're eager to tackle challenging problems, work with state-of-the-art AI technologies, and make a positive impact on the future of entertainment, we want to hear from you. We guarantee that you'll learn a ton, have fun, and be part of innovation in streaming entertainment.
  • (Updated 2 days ago)
    Join the pioneering team behind Amazon's Generative AI shopping initiatives, Rufus - Amazon's flagship Shopping AI assistant. We're revolutionizing how millions of customers discover products through AI-powered conversational commerce. Our mission is to transform the traditional e-commerce experience into an intuitive, personalized journey powered by state of the art large language models (LLMs). Key Responsibilities: - Lead and mentor a team of elite applied scientists developing next-generation AI shopping experiences - Drive architectural decisions and technology strategy for large-scale LLM deployments - Spearhead the development of novel conversational AI features that help customers navigate Amazon's vast product catalog - Partner with product teams to translate business requirements into technical solutions while maintaining high scientific standards - Build and scale production-grade GenAI systems that can handle Amazon's massive customer base - Identify opportunities for innovation and efficiency improvements through emerging AI technologies - Drive cross-functional collaboration with engineering, product, and business teams Impact & Scope: - Direct influence on shopping experiences used by millions of customers globally - Shape the strategic direction of Amazon's conversational commerce initiatives - Lead breakthrough innovations in the application of GenAI to e-commerce - Regular engagement with senior leadership on strategic initiatives and results Required Qualifications: - PhD or Masters in Computer Science, Machine Learning, or related field, or equivalent practical experience - 7+ years of experience in machine learning, with significant focus on NLP/LLMs - Proven track record of launching successful customer-facing AI products at scale - Strong technical leadership experience managing and mentoring applied science teams - Excellence in scientific research methodology and experimental design - Deep expertise in modern deep learning frameworks and ML infrastructure - Outstanding communication skills with ability to translate complex technical concepts for various audiences Preferred Qualifications: - Experience with large-scale distributed systems and cloud computing - Publication record in top-tier ML conferences (NeurIPS, ICML, ACL, etc.) - Previous experience with e-commerce or recommendation systems - Track record of successful collaboration with product management teams - Experience with ML deployment and monitoring in production environments About the Team: You'll join a diverse, passionate team of scientists and engineers working at the intersection of e-commerce and cutting-edge AI. We offer an environment that encourages innovation, supports professional growth, and provides opportunities to shape the future of online shopping. This role offers a unique opportunity to lead groundbreaking work in applied AI while directly impacting the shopping experience of millions of Amazon customers worldwide.
  • US, CA, Palo Alto
    Job ID: 3105332
    (Updated 9 days ago)
    We are looking for a motivated Applied Scientist to join the team pioneering the next generation of agentic AI applications for Amazon advertisers. In this role, you will contribute to the design and development of agentic architectures, tools, and datasets that enable agents to reason, plan, and act autonomously across advertiser workflows. You will apply machine learning and large language model techniques—such as fine-tuning, reinforcement learning, and preference optimization—to solve real customer problems and improve advertiser outcomes at scale. You will work closely with senior scientists and engineers to experiment with new methods, run large-scale evaluations, and bring research ideas into production. You will be hands-on in implementing models, analyzing data, and building components that make our guidance agents more context-aware, reliable, and effective. Most importantly, you will work backwards from advertiser needs, contributing to customer-facing products that help advertisers create, optimize, and grow their campaigns. This is a highly collaborative and growth-oriented role, ideal for someone who thrives at the intersection of research and engineering, enjoys tackling ambiguous problems, and wants to shape the future of agent-based AI in advertising. Key job responsibilities - Contribute to the design and development of agents that guide advertisers across conversational and non-conversational experiences. - Implement and experiment with model and agent optimization techniques such as supervised fine-tuning and instruction tuning under the guidance of senior scientists. - Support dataset curation and tooling for model customization and preference optimization (e.g., MCP pipelines). - Build and maintain components of evaluation pipelines for agent workflows, including benchmark setup, automated test creation, and analysis of reasoning quality. - Prototype and validate elements of agentic architectures (e.g., CoT, ReAct, or ToT) to improve planning, reasoning, and tool use. - Conduct experiments, analyze performance, and communicate insights to drive iterative improvements to models and agents. - Collaborate with scientists, engineers, and product managers to integrate research outputs into production systems. - Stay current with emerging methods in LLMs, reinforcement learning, and agentic AI, and apply them to real-world advertiser scenarios. About the team The Sponsored Products and Brands team at Amazon Ads is re-imagining the advertising landscape through the latest generative AI technologies, revolutionizing how millions of customers discover products and engage with brands across Amazon.com and beyond. We are at the forefront of re-inventing advertising experiences, bridging human creativity with artificial intelligence to transform every aspect of the advertising lifecycle from ad creation and optimization to performance analysis and customer insights. We are a passionate group of innovators dedicated to developing responsible and intelligent AI technologies that balance the needs of advertisers, enhance the shopping experience, and strengthen the marketplace. If you're energized by solving complex challenges and pushing the boundaries of what's possible with AI, join us in shaping the future of advertising. The Advertiser Guidance team within Sponsored Products and Brands is focused on guiding and supporting 1.6MM advertisers to meet their advertising needs of creating and managing ad campaigns. At this scale, the complexity of diverse advertiser goals, campaign types, and market dynamics creates both a massive technical challenge and a transformative opportunity: even small improvements in guidance systems can have outsized impact on advertiser success and Amazon’s retail ecosystem. Our vision is to build a highly personalized, context-aware agentic advertiser guidance system that leverages LLMs together with tools such as auction simulations, ML models, and optimization algorithms. This agentic framework, will operate across both chat and non-chat experiences in the ad console, scaling to natural language queries as well as proactively delivering guidance based on deep understanding of the advertiser. To execute this vision, we collaborate closely with stakeholders across Ad Console, Sales, and Marketing to identify opportunities—from high-level product guidance down to granular keyword recommendations—and deliver them through a tailored, personalized experience. Our work is grounded in state-of-the-art agent architectures, tool integration, reasoning frameworks, and model customization approaches (including tuning, MCP, and preference optimization), ensuring our systems are both scalable and adaptive.
  • (Updated 8 days ago)
    Calling all innovative tech enthusiasts! Join our cutting-edge team and dive into the world of distributed systems and high-performance computing. You'll have the opportunity to work on groundbreaking technologies that push the boundaries of computational science, solving complex challenges that have real-world impact. Are you passionate about creating scalable, sustainable computing systems that can power the world's most complex technological challenges? We're seeking innovative graduate researchers to push the boundaries of distributed systems and high-performance computing. We work across multiple Amazon businesses including Annapurna Labs, S3, EC2, and other critical infrastructure teams, though our research is not limited to these organizations. Our teams are committed to pushing the boundaries of distributed systems and high-performance computing, creating solutions that transform how we process and understand complex data Key job responsibilities • Collaborate with senior researchers to design and implement distributed computing solutions. • Design and prototype novel distributed computing architectures that enhance system performance and reliability • Conduct advanced research on scalable fault-tolerant systems for data center and serverless environments An ideal candidate for this role should possess a robust foundation in distributed systems, network architecture, or high-performance computing. The candidate should have hands-on experience with designing, implementing, and optimizing distributed algorithms, scalable network protocols, or parallel computing frameworks. Additionally, they must demonstrate the ability to work seamlessly within interdisciplinary teams, bringing together expertise from various domains such as software engineering, data science, and hardware architecture. This collaborative mindset is essential for developing innovative solutions that push the boundaries of cloud computing technology. A day in the life Your internship will be an immersive journey into advanced computational research. You'll collaborate with world-class scientists and engineers, exploring innovative approaches to solving complex computational problems. Expect to engage in hands-on projects that challenge your technical skills and spark your creativity.
  • US, CA, Sunnyvale
    Job ID: 3106419
    (Updated 8 days ago)
    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 As an Applied Scientist at Prime Video, you will have end-to-end ownership of the product, related research and experimentation, applying advanced machine learning techniques in computer vision (CV), Generative AI, multimedia understanding and so on. You’ll work on diverse projects that enhance Prime Video’s content localization, image/video understanding, and content personalization, driving impactful innovations for our global audience. Other responsibilities include: - Research and develop generative models for controllable synthesis across images, video, vector graphics, and multimedia - Innovate in advanced diffusion and flow-based methods (e.g., inverse flow matching, parameter efficient training, guided sampling, test-time adaptation) to improve efficiency, controllability, and scalability. - Advance visual grounding, depth and 3D estimation, segmentation, and matting for integration into pre-visualization, compositing, VFX, and post-production pipelines. - Design multimodal GenAI workflows including visual-language model tooling, structured prompt orchestration, agentic pipelines. A day in the life Prime Video is pioneering the use of Generative AI to empower the next generation of creatives. Our mission is to make world-class media creation accessible, scalable, and efficient. We are seeking an Applied Scientist to advance the state of the art in Generative AI and to deliver these innovations as production-ready systems at Amazon scale. Your work will give creators unprecedented freedom and control while driving new efficiencies across Prime Video’s global content and marketing pipelines. This is a newly formed team within Prime Video Science!
  • US, VA, Arlington
    Job ID: 3105020
    (Updated 2 days ago)
    Employer: Amazon.com Services LLC Position: Applied Scientist II Location: Arlington, VA Multiple Positions Available: Participate in the design, development, evaluation, deployment and updating of data-driven models and analytical solutions for machine learning (ML) and/or natural language (NL) applications. Develop and/or apply statistical modeling techniques (e.g. Bayesian models and deep neural networks), optimization methods, and other ML techniques to different applications in business and engineering. Routinely build and deploy ML models on available data. Research and implement novel ML and statistical approaches to add value to the business. Mentor junior engineers and scientists. (40 hours / week, 8:00am-5:00pm, Salary Range $142800 - $193200) Amazon.com is an Equal Opportunity – Affirmative Action Employer – Minority / Female / Disability / Veteran / Gender Identity / Sexual Orientation
  • (Updated 9 days ago)
    Come join the AWS Agentic AI science team in building the next generation models for intelligent automation. AWS, the world-leading provider of cloud services, has fostered the creation and growth of countless new businesses, and is a positive force for good. Our customers bring problems that will give Applied Scientists like you endless opportunities to see your research have a positive and immediate impact in the world. You will have the opportunity to partner with technology and business teams to solve real-world problems, have access to virtually endless data and computational resources, and to world-class engineers and developers that can help bring your ideas into the world. As part of the team, we expect that you will develop innovative solutions to hard problems, and publish your findings at peer reviewed conferences and workshops. Key job responsibilities We are looking for world class researchers with experience in one or more of the following areas - autonomous agents, API orchestration, Planning, large multimodal models (especially vision-language models), reinforcement learning (RL) and sequential decision making. A day in the life - Diverse Experiences Amazon 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. - 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 in the cloud. - 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 and 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.
  • (Updated 5 days ago)
    Help shape the future of artificial intelligence by leading breakthrough innovations in web search and Retrieval Augmented Generation at Amazon AGI. We're seeking an exceptional Applied Science Manager to drive the development of next-generation search capabilities to improve agentic applications across Amazon. Your work will directly influence the next generation of Amazon's search and AI systems, improving how millions of users interact with our platforms through more intelligent and efficient information retrieval systems. What will you do?: You will lead a team of scientists to improve our web search capabilities and drive key improvements across multiple agentic systems across Amazon. You will be responsible for: (i) developing novel retrieval and ranking models to improve search, incorporating multiple objectives (e.g. relevance and trustworthiness), and partnering closely with engineering to improve model performance; (ii) improve content and query understanding models to deliver improved signal to retrieval and ranking models; (iii) partner closely with content acquisition and customer teams to ensure our dependencies are met and we’re delivering value to the end customers, enhancing information grounding for LLMs; (iv) develop a science roadmap, including publication opportunities and how we can accelerate delivery of customer impact; (v) coach and develop the team, hire, and hold the bar on scientific rigor throughout the team. Technical Focus Areas: An ideal candidate will have demonstrated experience in Information Retrieval Systems (learned sparse and dense retrieval, efficient sparse and ANN indexing, learning-to-rank models, content understanding/information extraction, etc.) and Large Language Models (Retrieval-augmented generation (RAG) architectures, post-training techniques, inference optimization techniques, etc.).

Science at Amazon around the world

Amazon scientists are working on large-scale technical challenges in a variety of research areas across the globe. Use the pins below to learn more about the customer-obsessed science being conducted at some of our research locations.
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Academia

Amazon collaborates with leading academic organizations to drive innovation and to ensure that research is creating solutions whose benefits are shared broadly across all sectors of society.