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.
940 results found
  • (Updated 64 days ago)
    Are you up to the task of delivering innovative solutions that manages a supply chain of millions of unique products involving hundreds of thousands of suppliers and tens of millions of customers around the world? Amazon’s Strategic Sourcing team is looking for Senior Operations Research Scientists to build Amazon’s next generation of inventory planning and supply chain solutions. We are part of Supply Chain Optimization Technologies (SCOT): https://www.youtube.com/watch?v=ncwsr1Of6Cw&feature=youtu.be Our systems use real time, large scale optimization techniques to automatically procure and source the product from suppliers and optimize the flow of goods across the supply chain to minimize the cost and lead time for customers. Our team is focused on saving hundreds of millions of dollars using cutting edge science, machine learning, and scalable distributed software on the Cloud that automates and optimizes supply chain under the uncertainty of demand, pricing and supply. We are unique in that we’re simultaneously developing the science of supply chain planning and solving some of the toughest computational challenges at Amazon. Unlike many companies who buy existing off-the-shelf planning systems, we are responsible for studying, designing, and building systems to suit Amazon’s needs. Our team members have an opportunity to be on the forefront of supply chain thought leadership by working on some of the most difficult problems in the industry with some of the best product managers, research scientists/statisticians/economists and software developers in the business. We are seeking an experienced research scientist. Candidate will be responsible for developing solutions to better manage/optimize the flow of inventory in Amazon's network world wide. This position will focus on identifying and analyzing opportunities to improve existing algorithms and also on the next generation of Amazon’s inventory supply chain optimization systems. This position requires superior analytical thinkers, able to quickly approach large ambiguous problems and apply their technical and statistical knowledge to identify opportunities for further research. You should be able to independently mine and analyze data, and be able to use any necessary programming and statistical analysis software to do so. Successful candidates must thrive in fast-paced environments which encourage collaborative and creative problem solving, be able to measure and estimate risks, constructively critique peer research, and align research focuses with the Amazon’s strategic needs. In joining our team, you'll enjoy a highly competitive salary, growth, working closely with smart engineers and researchers along with other benefits. We have a creative and comfortable work environment and this is your opportunity to be part of a fast-paced and growing technology team. Key job responsibilities Supply chain management, optimization, operations research, machine learning, reinforcement learning
  • (Updated 7 days ago)
    Are you passionate about solving complex problems and pushing the boundaries of technology in personalization and content understanding? We’re looking for an Applied Scientist II (L5) to join the Amazon Content Foundations (ACF) team within the Personalization (P13N) organization. Key job responsibilities In this role, you will collaborate with Amazon's core and centralized systems to tackle challenging problems around content ingestion and curation, creating inspirational shopping experiences such as Shop By Interest (SBI). This includes: - Developing Large Language Models (LLMs) from scratch to enhance content understanding and engagement. - Diving deep into Amazon's content ecosystem to design and improve automated annotators that enable high-quality content ingestion. - Driving innovation to curate and present inspirational, engaging content to millions of Amazon customers.
  • US, CA, San Francisco
    Job ID: 2854236
    (Updated 1 days ago)
    Amazon is looking for innovative and experienced Applied scientists to join its Frontier AI & Robotics team. As an Applied Scientist in this team, you will lead and support the development of robotics foundational models for decision-making, focusing on tasks from perception to manipulation. You will collaborate with scientists and engineers to design new deep learning algorithms, refine model architectures, and explore reinforcement learning strategies to build general, flexible robots that operate effectively in the real world. Your work will balance forward-looking research with practical application, working closely with platform teams to deploy your models and algorithms into production, in order to ensure that our robotic systems that are scalable and robust enough for our dynamic real-world environments. Your contributions will drive innovation in robotics at scale and help shape the future of AI in Amazon’s autonomous systems. A day in the life 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 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! About the team Our mission is to push the boundaries of robotics by creating and deploying best-in-class AI agents that seamlessly integrate multimodal inputs like images, videos, catalog data, and sensor data in order to most effectively perceive as well as interact with the world. Our systems are deployed in real-world applications at scale, making scalability a core focus of our work. We combine simulated and real-world data to develop state-of-the-art robotics foundation models, leveraging pre-training and fine-tuning techniques to ensure our models are robust and capable of handling diverse deployment scenarios. Our team is small, but our ambitions are big. Above all, we value creativity, effective communication, and an ability to provide the insights that will move us toward our goals.
  • (Updated 5 days ago)
    At Amazon, we strive every day to be Earth’s most customer centric company. Selling Partner Support Engagement (SPSE) Science delivers on this by building AI-enhanced experiences and automation that help to provide world class support to our global network of selling partners. We building at the cutting edge of Gen AI applications, working to tackle the many challenges that we confront caused by the volume, diversity, and complexity of our selling partner's needs… and we are always striving to do better. Do you want to join an innovative team who creatively applies techniques ranging from statistics and traditional machine learning to deep learning, natural language processing, and generative models? A team that drives our flywheel of improvement by hunting down opportunities to do better that are buried in tens of millions of solved cases? Are you interested in helping us redefine what world class support can be in an age of automation and AI, while prizing human empathy and ingenuity? The SPSE Science Team is looking for an Applied Scientist to build statistical and machine learning solutions that help us understand and solve our most challenging problems. We need to better understand our Sellers and the problems they face, to augment our human workforce with smarter tools, to anticipate problems so that we are prepared to deal with them, to automatically diagnose and resolve issues, and to identify opportunities to grow and improve. In this role, you will have ownership of the end-to-end development of solutions to complex problems and you will play an integral role in strategic decision-making. You will also work closely with engineers, operations teams, product owners to build ML pipelines, platforms and solutions that solve problems of defect detection, automation, and workforce optimization.
  • GB, London
    Job ID: 2868642
    (Updated 4 days ago)
    The EU Amazon Vendor Services (AVS) and WW Vendor Experience (VX) Program teams are looking for a Data Scientist to help solve cutting edge of applied AI and ML solutions that will power our Voice of Vendor (VoV) program and address major challenges that will contribute to our vendors’ success and increased satisfaction. Amazon strives to be Earth’s most customer-centric company, where customers can find and discover anything they might want to buy online. By giving customers more of what they want - low prices, vast selection, and convenience - Amazon continues to grow and evolve as a world-class e-commerce website. Core to Amazon’s mission to delight and serve customers is a need to invent on behalf of vendors. The EU AVS program aims to provide an industry-leading account management service at the optimal cost-to-serve for Amazon that exceeds vendors’ expectations and expedites their growth on Amazon. The WW VX program vision is to make Amazon the most preferred, trusted, and efficient distribution option for vendors by building an industry-leading experience for every vendor across all global touchpoints. Both AVS and VX are core inputs to improving the end Customer Experience and Amazon’s Long-Term Free Cash Flow. The AVS and VX program teams are diverse organizations with employees across Europe and with partner teams around the globe. This role can be based in London, Paris, Madrid, or Luxembourg. These teams drive improvements in products, services, tools, processes, communication, and vendor education world-wide working with partner teams in Europe, North America, Japan, and emerging locales and are responsible for all elements of a vendor’s interaction with Amazon including listing, catalog management, ordering, supply chain, marketing, payments, value-added services, and vendor support. Key job responsibilities This role will sit in a data and analytics (DNA) team that supports two large program teams (EU AVS and VX), directly working with 15+ product managers. As a key member of the DNA team, you will play a crucial role in leveraging advanced analytics, machine learning, and AI to solve complex business problems and enhance vendor experiences. Specifically, you will lead the development of machine learning and AI solutions that will empower our global Voice of Vendor program to identify business areas (Listing, Ordering, Payments) that have biggest impact on the overall vendor satisfaction. You will provide meaningful vendor sentiment & anecdotes summaries to all partner teams using LLMs. You will develop models to identify the drivers of poor vendor feedback and we can take corrective and proactive actions to avoid this in the future. Every solution you will build will need to be production ready. Working closely with both PMs and PM-Ts, you will be involved in the end-to-end product feature development process from conception to productionisation. About the team We are a diverse team representing more than 10 nationalities and sitting across 6 European countries. We are a team of talented, driven individuals who maintain a focus on career and business development while being unerringly pleasant to work with. We are proud of the constant energy to take on more responsibility and to build from within all levels of the organisation while keeping people as our top priority. We focus on people and team, knowing this focus is central to our long-term success. The organisation comprises product managers, technical product managers, BIEs, data engineers, data scientists and vendor-facing teams.
  • (Updated 69 days ago)
    Alexa is the voice activated digital assistant powering devices like Amazon Echo, Echo Dot, Echo Show, and Fire TV, which are at the forefront of this latest technology wave. To preserve our customers’ experience and trust, the Alexa Sensitive Content Intelligence (ASCI) team builds services and tools through Machine Learning techniques to implement our policies to detect and mitigate sensitive content in across Alexa. We are looking for a passionate, talented, and inventive Senior Data Scientist to help build industry-leading technology with Large Language Models (LLMs) and multimodal systems, requiring deep learning and generative models knowledge. You will be a Tech Lead for a team of exceptional Data Scientists working in a hybrid, fast-paced organization where scientists, engineers, and product managers work together to build customer facing experiences. You will collaborate with, and mentor other data scientists while understanding the role data plays in developing data sets and exemplars that meet customer needs. You will analyze and automate processes for collecting and annotating LLM inputs and outputs to assess data quality and measurement. You will apply state-of-the-art Generative AI techniques to analyze how well our data represents human language and run experiments to gauge downstream interactions. You will work collaboratively with other data scientists and applied scientists to design and implement principled strategies for data optimization. Key job responsibilities A Senior Data Scientist should have good understanding of NLP models (e.g. LSTM, LLMs, other transformer based models) or CV models (e.g. CNN, AlexNet, ResNet, GANs, ViT) and how best to retrain them to improve performance. You leverage your exceptional technical expertise, a sound understanding of the fundamentals of Computer Science, and practical experience of building and improving large-scale distributed systems to creating reliable, scalable, and high-performance products. In addition to technical depth, you must possess exceptional communication skills and understand how to influence key stakeholders. Your work will directly impact our customers in the form of products and services that make use of speech, language, and computer vision technologies. You will be joining a select group of people making history producing one of the most highly rated products in Amazon's history, so if you are looking for a challenging and innovative role where you can solve important problems while growing as a leader, this may be the place for you. A day in the life You will be working with a group of talented scientists on running experiments to test scientific proposal/solutions to improve our sensitive contents detection and mitigation for worldwide coverage. This will involve collaboration with partner teams including engineering, PMs, data annotators, and other scientists to discuss data quality, policy, model development, and solution implementation. You will mentor other scientists, review and guide their work, help develop roadmaps for the team. You work closely with partner teams across Alexa to deliver platform features that require cross-team leadership. About the team The mission of the Alexa Sensitive Content Intelligence (ASCI) team is to (1) minimize negative surprises to customers caused by sensitive content, (2) detect and prevent potential brand-damaging interactions, and (3) build customer trust through appropriate interactions on sensitive topics. The term “sensitive content” includes within its scope a wide range of categories of content such as offensive content (e.g., hate speech, racist speech), profanity, content that is suitable only for certain age groups, politically polarizing content, and religiously polarizing content. The term “content” refers to any material that is exposed to customers by Alexa (including both 1P and 3P experiences) and includes text, speech, audio, and video.
  • (Updated 69 days ago)
    Alexa is the voice activated digital assistant powering devices like Amazon Echo, Echo Dot, Echo Show, and Fire TV, which are at the forefront of this latest technology wave. To preserve our customers’ experience and trust, the Alexa Sensitive Content Intelligence (ASCI) team builds services and tools through Machine Learning techniques to implement our policies to detect and mitigate sensitive content in across Alexa. We are looking for a passionate, talented, and inventive Data Scientist-II to help build industry-leading technology with Large Language Models (LLMs) and multimodal systems, requiring good learning and generative models knowledge. You will be working with a team of exceptional Data Scientists working in a hybrid, fast-paced organization where scientists, engineers, and product managers work together to build customer facing experiences. You will collaborate with other data scientists while understanding the role data plays in developing data sets and exemplars that meet customer needs. You will analyze and automate processes for collecting and annotating LLM inputs and outputs to assess data quality and measurement. You will apply state-of-the-art Generative AI techniques to analyze how well our data represents human language and run experiments to gauge downstream interactions. You will work collaboratively with other data scientists and applied scientists to design and implement principled strategies for data optimization. Key job responsibilities A Data Scientist-II should have a reasonably good understanding of NLP models (e.g. LSTM, LLMs, other transformer based models) or CV models (e.g. CNN, AlexNet, ResNet, GANs, ViT) and know of ways to improve their performance using data. You leverage your technical expertise in improving and extending existing models. Your work will directly impact our customers in the form of products and services that make use of speech, language, and computer vision technologies. You will be joining a select group of people making history producing one of the most highly rated products in Amazon's history, so if you are looking for a challenging and innovative role where you can solve important problems while growing in your career, this may be the place for you. A day in the life You will be working with a group of talented scientists on running experiments to test scientific proposal/solutions to improve our sensitive contents detection and mitigation for worldwide coverage. This will involve collaboration with partner teams including engineering, PMs, data annotators, and other scientists to discuss data quality, policy, model development, and solution implementation. You will work with other scientists, collaborating and contributing to extending and improving solutions for the team. About the team The mission of the Alexa Sensitive Content Intelligence (ASCI) team is to (1) minimize negative surprises to customers caused by sensitive content, (2) detect and prevent potential brand-damaging interactions, and (3) build customer trust through appropriate interactions on sensitive topics. The term “sensitive content” includes within its scope a wide range of categories of content such as offensive content (e.g., hate speech, racist speech), profanity, content that is suitable only for certain age groups, politically polarizing content, and religiously polarizing content. The term “content” refers to any material that is exposed to customers by Alexa (including both 1P and 3P experiences) and includes text, speech, audio, and video.
  • US, WA, Seattle
    Job ID: 2850923
    (Updated 10 days ago)
    The Selling Partner Experience (SPX) organization strives to make Amazon the best place for Selling Partners to do business. The SPX Science team is building an AI-powered conversational assistant to transform the Selling Partner experience. The Selling Assistant is a trusted partner and a seasoned advisor that’s always available to enable our partners to thrive in Amazon’s stores. It takes away the cognitive load of selling on Amazon by providing a single interface to handle a diverse set of selling needs. The assistant always stays by the seller's side, talks to them in their language, enables them to capitalize on opportunities, and helps them accomplish their business goals with ease. It is powered by the cutting edge of Generative AI, going beyond a typical chatbot to provide a powerful, personalized experience to sellers running real businesses, large and small. Do you want to join an innovative team of scientists, engineers, product and program managers who use state-of-the-art Generative AI and Machine Learning technologies to help Amazon create a delightful Selling Partner experience? Do you want to build solutions to real business problems by automatically understanding and addressing sellers’ challenges, needs and opportunities? Are you excited by the prospect of contributing to one of Amazon’s most strategic Generative AI initiatives? If yes, then you may be a great fit to join the Selling Partner Experience Science team (SPeXSci). Key job responsibilities - Use state-of-the-art Machine Learning and Generative AI techniques to create the next generation of the tools that empower Amazon's Selling Partners to succeed. - Design, develop and deploy highly innovative models to interact with Sellers and delight them with solutions. - Work closely with teams of scientists and software engineers to drive real-time model implementations and deliver novel and highly impactful features. - Establish scalable, efficient, automated processes for large scale data analyses, model benchmarking, model validation and model implementation. - Research and implement novel machine learning and statistical approaches. - Participate in strategic initiatives to employ the most recent advances in ML in a fast-paced, experimental environment. About the team Selling Partner Experience Science (SPeXSci) is a growing team of scientists, engineers and product leaders engaged in the research and development of the next generation of ML-driven technology to empower Amazon's Selling Partners to succeed. We draw from many science domains, from Natural Language Processing to Computer Vision to Optimization to Economics, to create solutions that seamlessly and automatically engage with Sellers, solve their problems, and help them grow. We are focused on building seller facing AI-powered tools using the latest science advancements to empower sellers to drive the growth of their business. We strive to radically simplify the seller experience, lowering the cognitive burden of selling on Amazon by making it easy to accomplish critical tasks such as launching new products, understanding and complying with Amazon’s policies and taking actions to grow their business.
  • US, WA, Seattle
    Job ID: 2850925
    (Updated 34 days ago)
    The Selling Partner Experience (SPX) organization strives to make Amazon the best place for Selling Partners to do business. The SPX Science team is building an AI-powered conversational assistant to transform the Selling Partner experience. The Selling Assistant is a trusted partner and a seasoned advisor that’s always available to enable our partners to thrive in Amazon’s stores. It takes away the cognitive load of selling on Amazon by providing a single interface to handle a diverse set of selling needs. The assistant always stays by the seller's side, talks to them in their language, enables them to capitalize on opportunities, and helps them accomplish their business goals with ease. It is powered by the cutting edge of Generative AI, going beyond a typical chatbot to provide a powerful, personalized experience to sellers running real businesses, large and small. Do you want to join an innovative team of scientists, engineers, product and program managers who use state-of-the-art Generative AI and Machine Learning technologies to help Amazon create a delightful Selling Partner experience? Do you want to build solutions to real business problems by automatically understanding and addressing sellers’ challenges, needs and opportunities? Are you excited by the prospect of contributing to one of Amazon’s most strategic Generative AI initiatives? If yes, then you may be a great fit to join the Selling Partner Experience Science team (SPeXSci). Key job responsibilities - Use state-of-the-art Machine Learning and Generative AI techniques to create the next generation of the tools that empower Amazon's Selling Partners to succeed. - Design, develop and deploy highly innovative models to interact with Sellers and delight them with solutions. - Work closely with teams of scientists and software engineers to drive real-time model implementations and deliver novel and highly impactful features. - Establish scalable, efficient, automated processes for large scale data analyses, model benchmarking, model validation and model implementation. - Research and implement novel machine learning and statistical approaches. - Participate in strategic initiatives to employ the most recent advances in ML in a fast-paced, experimental environment. About the team Selling Partner Experience Science (SPeXSci) is a growing team of scientists, engineers and product leaders engaged in the research and development of the next generation of ML-driven technology to empower Amazon's Selling Partners to succeed. We draw from many science domains, from Natural Language Processing to Computer Vision to Optimization to Economics, to create solutions that seamlessly and automatically engage with Sellers, solve their problems, and help them grow. We are focused on building seller facing AI-powered tools using the latest science advancements to empower sellers to drive the growth of their business. We strive to radically simplify the seller experience, lowering the cognitive burden of selling on Amazon by making it easy to accomplish critical tasks such as launching new products, understanding and complying with Amazon’s policies and taking actions to grow their business.
  • (Updated 74 days ago)
    亚马逊云科技上海人工智能实验室OpenSearch 研发团队正在招募应用科学家实习,方向是机器学习。OpenSearch是一个开源的搜索和数据分析套件, 它旨在为数据密集型应用构建解决方案,内置高性能、开发者友好的工具,并集成了强大的机器学习、数据处理功能,可以为客户提供灵活的数据探索、丰富和可视化功能,帮助客户从复杂的数据中发现有价值的信息。OpenSearch是现有AWS托管服务(AWS OpenSearch)的基础,OpenSearch核心团队负责维护OpenSearch代码库,他们的目标是使OpenSearch安全、高效、可扩展、可扩展并永远开源。这是一个为期3个月到6个月的实习机会,旨在让你真正体验软件开发的全流程,提升实际工作能力。如果你对这个职位感兴趣,欢迎投递简历! 该实习有转正机会。 点击下方链接查看申请手册获得更多信息: https://amazonexteu.qualtrics.com/CP/File.php?F=F_55YI0e7rNdeoB6e Key job responsibilities 在这个实习期间,你将有机会: 1. 应用先进的人工智能和机器学习技术提升用户体验。 2.研发先进的机器学习检索算法,了解机器学习算法如何与工程结合。 3. 学习亚马逊云上的各种云服务。 4. 参与产品需求讨论,提出技术实现方案。 5. 与国内外杰出的开发团队紧密合作,学习代码开发和审查的流程。

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.