Careers

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

Do you want a role with deep meaning and the ability to make a global impact? Hiring top talent is not only critical to Amazon’s success—it can literally change the world. It took a lot of great hires to deliver innovations like AWS, Prime, and Alexa, which make life better for millions of customers around the world every day. As part of the Intelligent Talent Acquisition (ITA) team, you'll have the opportunity to reinvent the hiring process and deliver unprecedented scale, sophistication, and accuracy to Amazon's Talent Acquisition operation. ITA is an industry-leading people science and technology organization made up of scientists, engineers, analysts, product professionals and more. Our shared goal is to fairly and precisely connect the right people to the right jobs. Last year, we delivered over 6 million online candidate assessments, creating a merit-based approach that gives candidates the chance to showcase their true skills. Each year we help Amazon deliver billions of packages around the world by making it possible to hire hundreds of thousands of associates in the right quantity, at the right location and at exactly the right time. You’ll work on state-of-the-art research, advanced software tools, new AI systems, and machine learning algorithms to solve complex hiring challenges. One day, we can bring our solutions to the rest of the world. Join ITA in using technologies to transform the hiring landscape and make a meaningful difference in people's lives. Within ITA, the Global Hiring Science (GHS) team designs and implements innovative hiring solutions at scale. We work in a fast-paced, global environment, using research to solve tough problems and build powerful hiring tools that deliver measurable impact to our customers. We’re seeking machine learning scientists with a strong foundation in natural language processing or large language models, experimental design, and data analysis. Preferred candidates will have experience with fair machine learning models, and designing/deploying machine learning models at scale. You’ll work closely with cross-functional teams, experimenting with emerging technologies to design novel solutions that improve the quality of new hires while enhancing the candidate experience across all of Amazon’s hiring. Key job responsibilities - Design and implement advanced AI models using the latest LLM and GenAI technologies to develop fair and accurate machine learning models for hiring. - Clearly and cogently present your work and ideas, and respond effectively to feedback. - Collaborate with cross-functional teams with Research Scientists and Software Engineers to integrate AI-driven products into Amazon’s hiring process. - Stay at the advance of AI research, continuously exploring and implementing new techniques in NLP, LLMs, and GenAI to drive innovation in hiring. - Implement advanced natural language processing models to extract insights from diverse data sources. - Ensure effective teamwork, communication, collaboration, and commitment across multiple teams with competing priorities. - Contribute to the scientific community through publications, presentations, and collaborations with academic institutions. About the team The mission of Global Hiring Science (GHS) is to improve both the efficiency and effectiveness of hiring across Amazon with assessments and interview improvements. We are a team of experts in machine learning, industrial-organizational psychology, data science, and measuring the knowledge, skills, and abilities that it takes to be successful at Amazon

Amazon Games recherche un.e scientifique en apprentissage automatique sénior.e pour développer et intégrer de nouvelles approches d'apprentissage automatique (ML), d'apprentissage par renforcement (RL) et d'IA générative (Gen AI) dans nos processus de développement de jeux et dans nos expériences de jeux. Dans ce rôle, vous travaillerez en étroite collaboration avec nos studios de développement de jeux et nos équipes opérationnelles pour imaginer et développer des outils, des processus et des fonctionnalités alimentés par l'IA générative à travers Amazon Games. Chez Amazon Games, notre ambition est de créer de expériences inédites et audacieuses qui rassemblent et cultivent les communautés de joueurs et de joueuses. Notre équipe d'experts de l'industrie développe des jeux multijoueurs AAA et des propriétés intellectuelles originales, avec des équipes à Seattle, Orange County, San Diego, Montréal et Bucarest. À travers nos divisions - Studios, Publishing et Prime Gaming et en collaboration avec des partenaires externes, nous développons, publions et livrons des jeux et des expériences de contenu exceptionnelles pour les joueurs et joueuses. /// Amazon Games is seeking a highly effective Senior Machine Learning Scientist to build and integrate novel ML, RL and Generative AI (Gen AI) approaches into our game pipelines and customer experiences. In this role, you will work closely with our game development studios and operations teams to research and develop generative AI-powered tools, pipelines and features across Amazon Games. At Amazon Games, our ambition is to create bold new experiences that foster community in and around our games. Our team of game industry veterans develops AAA multiplayer games and original IPs, with teams in Seattle, Orange County, San Diego, Montreal, and Bucharest. Amazon Games, through its Studios, Publishing, and Prime Gaming divisions collaborating with external partners, aims to develop, publish, and deliver compelling AAA games and content experiences for gamers to discover. Key job responsibilities Responsabilités - Diriger la recherche, l'implémentation et la mise en production d'initiatives ambitieuses et complexes en IA/ML pour Amazon Games. - Collaborer avec les équipes de programmation, de conception et artistique pour concevoir, développer et intégrer de nouveaux outils d'IA générative dans les flux de travail des développeuses et développeurs. - Identifier et résoudre de manière proactive les problèmes qui affectent la qualité de vie des joueurs, des opérations et des autres développeurs. - Se tenir au courant et analyser les dernières avancées en matière de technologie d'IA générative, et améliorer continuellement les fonctionnalités des produits lorsque des améliorations significatives en termes de coût, d'évolutivité, de qualité ou de fonctionnalité peuvent être réalisées. - Consulter et contribuer aux évaluations d'autres services internes ou tiers de ML, RL et Gen AI qui pourraient être utilisés par le projet ou l'organisation. /// Responsibilities - Drive the research, implementation, and productionizing for ambitious and complex AI/ML initiatives for Amazon Games. - Collaborate with game team engineers, designers and artists to design, develop, and integrate new generative AI tools into developer workflows. - Proactively identify and solve problems that affect the quality of life for players, operations, and other developers. - Stay up to date with and analyze the latest advancements, in generative AI technology, and continuously improve product features where meaningful improvements in cost, scalability, quality, or functionality can be achieved. - Consult and contribute to evaluations of other internal or 3rd ML, RL and Gen AI services that could be leveraged by the project or the organization. A day in the life Une journée type - Vous vous épanouissez dans un environnement collaboratif où vos décisions ont un impact et une influence significatifs. - Vous exprimer votre passion par la création d'expériences de jeu qui ravissent les joueurs et les joueuses. - Vous proposez d'excellents flux de travail, outils et innovations de jeu à vos collègues et aux équipes de développement et recherchez constamment l'amélioration. - Vous souhaitez faire partie de quelque chose d'excitant et unique dans l'écosystème du jeu. /// A day in the life - You thrive in a collaborative environment where your decisions have significant impact and influence. - You are passionate about building game experiences that delight players. - You deliver great workflows, tools, and game innovations to your fellow developers and constantly seek improvement. - You want to be part of something exciting and unique in the gaming ecosystem. About the team À propos de l'équipe L'équipe de recherche en IA d'Amazon Games Studio se concentre sur l'innovation en intelligence artificielle dans le domaine du jeu vidéo. Notre équipe hautement qualifiée et multidisciplinaire travaille sur l'apprentissage automatique, l'apprentissage par renforcement et l'IA générative pour réinventer le développement des jeux. Nous travaillons de près avec les équipe internes et nos studios partenaires pour donner vie à leur vision créative. Notre mission est d'utiliser l'IA de manière responsable pour transformer l'expérience de jeu, enrichir les récits, et fournir aux créateurs et créatrices des outils pratiques pour optimiser leurs chaînes de production. /// About the Team The Amazon Games Studio AI Research team focuses on artificial intelligence innovation in gaming. Our highly skilled, multi-discipline team works across Machine Learning, Reinforcement Learning, and Generative AI to reimagine game development. We work closely with first-party game developers and partner studios to bring creative visions to life. Our mission is to use AI responsibly to transform gameplay experiences, enrich narratives, and provide creators with practical tools to optimize their production pipelines.

We are a part of Amazon Alexa Devices organization with the mission “delight customers through contextual and personalized proactive experiences that keep customers informed, engaged, and productive without cognitive burden”. We are developing an advanced system using Large Language Model (LLM) technologies to deliver engaging, intuitive, and adaptive content recommendations across all Amazon surfaces. We aim to facilitate seamless reasoning and customer experiences, surpassing the capabilities of previous machine learning models. We are looking for a passionate, talented, and resourceful Applied Scientist in the field of Natural Language Processing (NLP), Recommender Systems and/or Information Retrieval, to invent and build scalable solutions for a state-of-the-art context-aware speech assistant. A successful candidate will have strong machine learning background and a desire to push the envelope in one or more of the above areas. The ideal candidate would also enjoy operating in dynamic environments, be self-motivated to take on challenging problems to deliver big customer impact, shipping solutions via rapid experimentation and then iterating on user feedback and interactions. Key job responsibilities As an Applied Scientist on the team, you will collaborate with other applied scientists and engineers to develop novel algorithms to enable timely, relevant and delightful recommendations and conversations. Your work will directly impact our customers in the form of products and services that make use of various machine learning, deep learning and language model technologies. You will leverage Amazon’s heterogeneous data sources and large-scale computing resources to accelerate advances in the state of art.

We are a part of Amazon Artificial General Intelligence (AGI) organization where our mission is “delight customers through contextual and personalized proactive experiences that keep customers informed, engaged, and productive without cognitive burden”. We are developing advanced systems to deliver engaging, intuitive, and adaptive content recommendations across all Amazon surfaces. We aim to facilitate seamless reasoning and customer experiences, surpassing the capabilities of previous machine learning models. We are looking for a passionate, talented, and resourceful Senior Applied Scientist in the field of Natural Language Processing (NLP), Large Language Model (LLM), Recommender Systems and/or Information Retrieval, to invent and build scalable solutions for a state-of-the-art context-aware personal assistant. A successful candidate will have strong machine learning background and a desire to push the envelope in one or more of the above areas. The ideal candidate would also enjoy operating in dynamic environments, be self-motivated to take on challenging problems to deliver big customer impact, shipping solutions via rapid experimentation and then iterating on user feedback and interactions. Key job responsibilities As a Senior Applied Scientist, you will leverage your technical expertise and experience to demonstrate leadership in tackling large complex problems, setting the direction and collaborating with applied scientists and engineers to develop novel algorithms and modeling techniques to enable timely, relevant and delightful recommendations and conversations. Your work will directly impact our customers in the form of products and services that make use of various machine learing, deep learning and language model technologies. You will leverage Amazon’s heterogeneous data sources and large-scale computing resources to accelerate advances in the state of art.

Would you like to work on developing ML models for one of the largest transactional distributed systems in the world? How about working with customers and peers from the entire range of Amazon's business and Science on complex real world problems, backed with high volume data ? Whether you're passionate about building highly scalable and reliable systems or a scientist who likes to solve business problems, Amazon Tax Platform Services is the place for you. We are responsible for the tax calculation platform, providing the core services that calculate taxes (sales tax and VAT) for all Amazon sales, physical and digital, globally. We seek to provide the correct tax amounts to the customer when placing their Amazon order, and ensure all records are stored safely to meet tax law requirements around the globe. Our challenges include staying on top of the complex and ever-changing global tax legislations as well as computing calculations correctly and quickly, thousands of times a second, and each one needs to be accurate. As an Applied scientist, you will provide machine learning leadership to the team that helps increase the accuracy of Tax classification based product information in Amazon catalogue making it the biggest and most challenging tax classification using Machine learning models globally. You will work with large language models, to build various machine learning models to predict accuracy of human's on specific tasks, reason with large volumes of systems changes to identify causal determinants, apply generative AI to model outcomes from sparse data. You will help us innovate different ways to enhance tax classification experience for our global customers. You will need to be entrepreneurial, work in a highly collaborative environment with SDEs, Product managers and businesses. We like to move fast, experiment, iterate and then scale quickly, thoughtfully balancing speed and quality.

Are you a PhD student interested in machine learning, natural language processing, computer vision, automated reasoning, or robotics? We are looking for skilled scientists capable of putting theory into practice through experimentation and invention, leveraging science techniques and implementing systems to work on massive datasets in an effort to tackle never-before-solved problems. A successful candidate will be a self-starter comfortable with ambiguity, strong attention to detail, and the ability to work in a fast-paced, ever-changing environment. As an Applied Science Intern, you will own the design and development of end-to-end systems. You’ll have the opportunity to create technical 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. The ideal scientist must have the ability to work with diverse groups of people and cross-functional teams to solve complex business problems. Amazon Science gives insight into the company’s approach to customer-obsessed scientific innovation. Amazon fundamentally believes that scientific innovation is essential to being the most customer-centric company in the world. It’s the company’s ability to have an impact at scale that allows us to attract some of the brightest minds in artificial intelligence and related fields. Our scientists use our working backwards method to enrich the way we live and work. To ensure a great internship experience, please keep these things in mind. This is a full time internship and requires an individual to work 40 hours a week for the duration of the internship. Amazon requires an intern to be located where their assigned team is. Amazon is happy to provide relocation and housing assistance if you are located 50 miles or further from the office location. For more information on the Amazon Science community please visit https://www.amazon.science.

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 an Applied Scientist on this team, you will: - Drive end-to-end Machine Learning projects that have a high degree of ambiguity, scale, complexity. - Perform hands-on analysis and modeling of enormous data sets to develop insights that increase traffic monetization and merchandise sales, without compromising the shopper experience. - Build machine learning models, perform proof-of-concept, experiment, optimize, and deploy your models into production; work closely with software engineers to assist in productionizing your ML models. - Run A/B experiments, gather data, and perform statistical analysis. - Establish scalable, efficient, automated processes for large-scale data analysis, machine-learning model development, model validation and serving. - Research new and innovative machine learning approaches. - Recruit Applied Scientists to the team and provide mentorship. Why you will love this opportunity: Amazon is investing 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

Our AI Center of Excellence builds data-driven automation capabilities to support core operations at global scale. We leverage off the sciences of data, information processing, machine learning, and generative AI to improve user experience, automation, service resilience, and operational efficiency. Our work expands AI-driven capabilities of our businesses in primarily Retail and IT with global impact. Key job responsibilities We're seeking an experienced Applied Science Manager to guide our team in creating practical AI solutions for real-world problems. In this role, you will: • Oversee the development of AI applications that meet business needs • Ensure our team stays current with advancements in machine learning and data science • Balance theoretical knowledge with practical implementation • Mentor team members and foster a collaborative work environment • Work closely with customers and partners to understand their requirements You should have a strong background in AI/ML, proven leadership skills, and the ability to translate complex concepts into actionable plans. We value your expertise in bridging the gap between research and application. A day in the life Your daily work will be diverse and dynamic. You'll collaborate with scientists and ML engineers, reviewing data processing approaches and machine learning models. You'll plan and oversee large-scale experiments, balancing immediate project needs with long-term scientific initiatives. Typical tasks include solving complex data science problems, developing ML/AI solutions for automation and insights, and interacting with internal partners. You'll stay connected to production environments to ensure customer needs are met. Mentoring team members and leading educational sessions on AI/ML best practices will be part of your role. This position requires adaptability, as you'll switch between technical work, strategic planning, and people management throughout your day. About the team We work side by side to address the technical challenges of automation, service resilience, and operational efficiency across a variety of products, softwares, and systems. Our scientists and machine learning engineers work in synergy to solve hard problems and enrich each other's skills. Together, we are a powerful team of specialists in EU and NA bringing the potential of practical ML and AI to the max with impact on millions of Amazon customers.