Currently tracking 1110 active AI roles, down 16% versus the prior 4 weeks. Primary focus: Agent · Engineering. Salary range $65k–$465k (avg $194k).
Amazon has 1472 active AI-related job listings. The company is heavily focused on roles within the "agents" stage, which accounts for 38% of its AI hiring, followed by "application" at 26%. Engineering is the dominant function, with 1172 positions. Over the last 30 days, Amazon has added 667 new AI roles, representing a 74% increase compared to the previous 30-day period. Frequent tech tags include agent_orchestration, model_serving, and multimodal.
Amazon currently has 1573 active AI-related roles in our index. The most common open titles are: ML Data Associate-II (9), 2026 Applied Scientist Intern, Amazon University Talent Acquisition (8), AI Data Associate (Dutch) , Artificial General Intelligence Data Services (8), Software Development Engineer, AWS (8), Senior Delivery Consultant - Data , Professional Services, AWSI HCLS (7). Most positions are in Engineering and Research.
Amazon's active AI hiring is concentrated in: agents (41%), application (26%), serving infrastructure (13%). These categories follow a seven-stage AI lifecycle: data, pre-training, post-training, serving infrastructure, agents, evaluation, and application.
Amazon is hiring AI talent in: United States (1023 roles), Canada (59 roles), United Kingdom (47 roles), India (23 roles).
Job postings at Amazon most frequently mention: Machine Learning, Generative AI, Large Language Models (LLMs), Software Engineering, Agentic Systems.
In the past 30 days, Amazon has posted 696 new AI-related roles.
| Title | Stage | AI score |
|---|---|---|
| Postdoctoral Scholar - SAF Lab, Compass Research role focused on developing and validating safe autonomy for highly dynamic robots, integrating control barrier functions (CBFs) with perception and learning, and deploying methods on physical robotic hardware. The work involves pushing the frontiers of safety theory, developing simulation and evaluation pipelines, and enabling robots to operate safely around humans. | ShipData | 9 |
| Member of Technical Staff - Hardware Science, Frontier AI & Robotics (FAR) This role focuses on foundational research and building intelligent robotic systems by developing foundation models for perception and manipulation, integrating them with hardware systems, and deploying them at Amazon scale. It involves independent research initiatives, full-stack robotics projects from conceptualization to hardware deployment, and collaboration with hardware engineering teams. |
| ShipData |
| 9 |
| Robotics/AI Motor Control Scientist, Fauna Robotics/AI Motor Control Scientist role focused on developing and optimizing ML algorithms, particularly reinforcement and imitation learning, for robot motor control. The role involves research, simulation, sim-to-real transfer, and integration with hardware, aiming to enable complex whole-body tasks and safe human-robot interaction. It bridges research with practical engineering and has a strong publication requirement. | ShipData | 9 |
| 2026 Applied Science Internship - United States, Undergrad Student Science Recruiting, Frontier AI & Robotics Internship role focused on developing novel algorithms and modeling techniques at the intersection of LLMs and generative AI for robotics, tackling research problems in robotic perception, manipulation, and control. Involves collaboration with cross-functional teams and leveraging expertise in deep learning, reinforcement learning, computer vision, and motion planning. | ShipAgent | 9 |
| Applied Scientist, AICE - AI Center of Excellence Research Scientist role focused on building and hardening AI primitives for enterprise-wide consumption at Amazon, translating research into production-ready solutions and driving scientific direction. | ShipData | 8 |
| 2027 Applied Science Intern (Machine Learning, Recommender Systems), Amazon International Machine Learning Internship role focused on developing novel solutions and prototypes in Deep Learning and Generative AI, with potential to deliver to production. Collaborates with R&D scientists and aims to publish research in top ML conferences. | Ship | 8 |
| Applied Scientist, Personalization, Personalization Strategic Initiatives Science Research scientist role focused on developing and launching new AI technologies for personalization, including recommendation systems and large language models, leveraging large datasets and computational resources to impact millions of customers. | Ship | 8 |
| Applied Scientist, Personalization, Personalization Strategic Initiatives Science Research scientist role focused on developing and launching large-scale machine learning solutions for personalization and recommendation systems, impacting millions of customers. | Ship | 8 |
| Applied Scientist , Personalization & Ranking Research Scientist focused on developing and launching new AI technologies for personalization and recommendation systems, utilizing deep learning, LLMs, and reinforcement learning, with a strong emphasis on experimentation and A/B testing. | ShipPost-train | 8 |
| Robotics/AI Motor Control Scientist, Fauna Robotics/AI Motor Control Scientist to develop cutting-edge machine learning algorithms for motor control systems in robots, focusing on creating and optimizing intelligent motor control strategies for complex, whole-body tasks. The role involves using RL/IL, integrating with hardware, simulation/testing, and bridging research with practical implementation. | ShipData | 8 |
| Senior Applied Scientist, Amazon Shopping Personalization Senior Applied Scientist role focused on researching, designing, and developing new AI technologies for Amazon's Personalization and recommendation systems. The role involves inventing, experimenting with, and launching new features and products using large-scale datasets and computational resources. Key responsibilities include building state-of-the-art models, conducting experiments, and collaborating with engineers and product managers to implement solutions end-to-end. | ShipPost-train | 8 |
| Applied Scientist II, Search Ranking Applied Scientist II role at Amazon focused on improving search ranking by inventing and implementing ML solutions. This involves data analysis, model design, training, A/B testing, and deploying production-level components for Amazon's product search service. | Ship | 8 |
| Senior Applied Scientist , Prime Video Ads Senior Applied Scientist role focused on building and deploying ML models for personalizing advertising experiences on Prime Video. The role involves research and development across the ML lifecycle, from exploratory research to production deployment, with a focus on understanding heterogeneous customer responses, inferring preferences from indirect signals, and optimizing for competing objectives like revenue and customer engagement at massive scale. | ShipAgent | 8 |
| Applied Scientist II, Reinforcement Learning Applied Scientist II role focused on developing advanced robotics systems using AI, deep learning, and reinforcement learning for automation at Amazon's scale. The role involves designing and implementing control methods for balance, locomotion, and manipulation, with a focus on bridging theoretical advancements and practical implementation in robotics. | Ship | 8 |
| Sr. Applied Scientist, Prime Video - Personalization and Discovery Science This role focuses on developing and launching end-to-end AI solutions for Prime Video's recommendation and personalization systems. It involves deep learning, GenAI, reinforcement learning, and optimization methods, with a strong emphasis on experimental design (A/B testing) and research publication. The scientist will work closely with engineers and product managers to bring these solutions to millions of customers. | Ship | 8 |
| Senior Applied Scientist, Personalization, Personalization Strategic Initiatives Science Senior Applied Scientist role focused on research, design, and development of new AI technologies for personalization, including recommendation systems and large language models. The role involves inventing, experimenting with, and launching new features, products, and systems that impact millions of customers. | ShipPost-train | 8 |
| Applied Scientist, Personalization, Personalization Strategic Initiatives Science Research Scientist role focused on developing and launching new AI technologies for personalization, leveraging large datasets and computational resources to build large-scale machine learning solutions for customer recommendations. The role involves inventing, experimenting with, and launching new features, products, and systems, with a strong emphasis on research publications. | ShipPost-train | 8 |
| Applied Scientist, Last Mile Delivery Automation This role focuses on developing AI and ML solutions for last mile delivery automation, combining expertise in machine learning, computer vision, and robotics to solve complex challenges in perception, navigation, and path planning. The scientist will research, design, and implement algorithms, transforming research concepts into production-ready solutions for autonomous systems. | ShipAgent | 8 |
| Amazon Industrial Robotics - Applied Scientist II Intern / Co-op - 2026, Amazon Industrial Robotics This role focuses on developing next-generation advanced robotics systems by combining AI, control systems, and mechanical design for automation at Amazon's scale. The intern will contribute to research bridging theoretical advancements and practical implementation in robotics, focusing on areas like dexterous manipulation, locomotion, and human-robot interaction, leveraging deep learning and LLMs. | Ship | 8 |
| Sr. Applied Scientist, Global Hiring Science This role focuses on applying machine learning and AI to reinvent the hiring process at Amazon, aiming for scale, sophistication, and accuracy in talent acquisition. The scientist will work on state-of-the-art research, advanced software tools, new AI systems, and ML algorithms, leveraging Amazon's tech stack to deliver innovative solutions for hiring. | Ship | 7 |
| Applied Scientist, Pricing Science Applied Scientist role focused on developing and launching customer-obsessed improvements to pricing algorithms for billions of Amazon products, leveraging large-scale multi-modal datasets and predictive modeling, causal evaluation, and optimization techniques. | Ship | 7 |
| Research Scientist, Safety-Critical Control, Robotics, SAF Lab Research Scientist focused on developing Control Barrier Function (CBF) theory and algorithms for safety-critical control in robotics. The role involves creating algorithms with formal safety guarantees, integrating them with learned control policies, and deploying them on next-generation robots. Key responsibilities include developing novel CBF algorithms, framing safety filtering within layered architectures involving learning-based components, designing multi-layer CBF filters, and formalizing the interplay between models and system dynamics. The role also requires implementing real-time optimization solvers, validating algorithms through simulation and hardware experiments, and contributing to theoretical foundations through publications. Collaboration with various teams and product leaders is essential for setting a science roadmap. | ShipServe | 7 |
| Applied Scientist II, Customer360 Research and develop new AI technologies for personalization using recommendations, information retrieval, and large language models. Build large-scale ML solutions for customer experiences. | Ship | 7 |
| Applied Scientist, Amazon Shopping Personalization Research Scientist role focused on developing and launching new AI technologies for Amazon's Personalization organization, specifically in recommendation systems and large language models, impacting millions of customers. | ShipAgent | 7 |
| Applied Scientist, Customer360 Research scientist role focused on developing new AI technologies for personalization in e-commerce, specifically using LLMs, fine-tuning, and recommendation systems. The role involves research, design, development, and launching new features and products, with a strong emphasis on customer impact and innovation. | ShipPost-train | 7 |
| Applied Scientist II, Amazon, Amazon Applied Scientist II at Amazon focused on improving shopping experiences using LLMs, requiring a PhD or Master's with 4+ years of experience, and a strong publication/patent record. The role involves building models for business applications and experience with algorithms, data structures, and distributed computing. | Ship | 7 |
| Applied Scientist II, Amazon Shopping Personalization Research Scientist role focused on developing and launching AI solutions for Amazon's personalization and recommendation systems, utilizing large datasets and computational resources. The role involves adopting or inventing new ML techniques, including LLMs and RL, and publishing research findings. | ShipPost-train | 7 |
| Applied Scientist , Rufus Experience Science This role focuses on building next-generation conversational shopping experiences by developing and deploying data-driven solutions and models. It involves executing a science vision, collaborating cross-functionally, and leveraging Amazon's data and computational resources. | Ship | 7 |
| Sr. Applied Scientist, AWS Automated Reasoning This role focuses on applying advanced automated reasoning techniques, including SAT, SMT, symbolic simulation, and program analysis, to solve complex problems within AWS. The goal is to enhance privacy and sovereignty for AWS services, impacting business and customer outcomes through scientific innovation and strategic problem-solving. | Ship | 7 |
| Applied Scientist, Amazon Private Brands Applied Scientist role focused on designing and building innovative machine learning solutions for Amazon Private Brands discovery, driving customer awareness and product discovery. The role involves end-to-end project ownership, from ideation to launch, utilizing methods like NLP, deep learning, reinforcement learning, and causal inference. The scientist will propose new algorithms, overcome technical limitations, and present findings to leadership. | Ship | 7 |
| Applied Scientist II, Prime Video Personalization and Discovery Science Applied Scientist II at Amazon Prime Video focused on developing ML models for recommendation and search systems using deep learning, online learning, and optimization methods. The role involves end-to-end ownership of product and user experience, working with advanced approaches like foundation models to tackle cold-start problems and discover niche interests. The scientist will also publish research findings and collaborate with engineering and product teams. | Ship | 7 |
| 2026 Applied Scientist Intern, Amazon University Talent Acquisition MS or PhD student internship in machine learning, deep learning, generative AI, LLMs, speech technology, robotics, computer vision, optimization, operations research, quantum computing, automated reasoning, or formal methods. Focus on inventing, designing, and implementing state-of-the-art solutions. Will own design and development of end-to-end systems, write technical white papers, create roadmaps, and drive production-level projects. Opportunity to design new algorithms and models, and deploy them into production. | Ship | 7 |
| Applied Scientist, Prime Video Applied Scientist role at Amazon Prime Video focusing on leveraging NLP and Computer Vision research to enhance video content understanding and customer experience. The role involves leading research direction, creating roadmaps, and developing models for business applications, with an emphasis on delivering state-of-the-art digital video experiences. | Ship | 7 |
| Applied Scientist, Customer360 Research scientist role focused on developing and launching new AI technologies for personalization in e-commerce, leveraging LLMs, recommendation systems, and information retrieval. | Ship | 7 |
| Data Scientist, MAPLE - Recommender System This role focuses on developing and deploying data-driven models for personalized shopping experiences using state-of-the-art recommendation systems and GenAI techniques. The scientist will design, develop, evaluate, and update models, create new signals, use supervised and uplift learning, design A/B tests, and work with large-scale distributed machine learning. The role also involves presenting and publishing research, mentoring junior scientists, and collaborating with business and engineering teams. Experience with causal machine learning and evaluating AI systems is required. | Ship | 7 |
| Applied Scientist, MAPLE - Recommender System Applied Scientist role focused on developing and deploying personalized recommendation systems using state-of-the-art modeling and GenAI techniques for Amazon's consumer shopping experience. The role involves building data-driven models, developing new signals, using supervised and uplift learning, contributing to production code and tooling, designing A/B tests, and publishing research. | Ship | 7 |
| Data Scientist, MAPLE - Recommender System This role focuses on developing and deploying personalized recommendation systems for Amazon customers, integrating GenAI techniques, and conducting research. The primary deliverable is a customer-facing AI product. | Ship | 7 |
| Applied Scientist, Amazon Robotics R&D Applied Scientist role focused on researching, designing, and implementing computer vision and decision-making algorithms for robotic systems, with a strong emphasis on integrating machine learning and delivering customer-facing results. The role involves creating experiments, prototyping new algorithms, and collaborating with engineering teams for scalable, real-time implementations, ultimately shipping AI-powered robotic products. | ShipData | 7 |
| Applied Scientist, Prime Video - Personalization and Discovery Science Applied Scientist role focused on developing and launching AI solutions for Prime Video's personalization and discovery systems, involving deep learning, GenAI, RL, and optimization. The role requires end-to-end ownership, experimental design (offline and A/B testing), and publishing research findings. Experience with recommender systems and personalization is preferred. | Ship | 7 |
| Applied Scientist, Pricing Science Applied Scientist role focused on developing and launching customer-obsessed pricing algorithms for billions of products worldwide. This involves leveraging large-scale multi-modal datasets, applying machine learning, predictive modeling, causal inference, and reinforcement learning to optimize pricing strategies and tools for sellers. The role emphasizes collaboration with product and engineering teams, continuous learning, and delivering business impact through innovative pricing solutions. | ShipAgent | 7 |
| Applied Scientist, Sales AI Applied Scientist role focused on Generative AI and quantitative modeling for Amazon Advertising Sales. The role involves conceptualizing and leading research on ML/GenAI solutions, guiding technical approaches, conducting data analysis, running A/B experiments, and working with engineers to deliver end-to-end solutions into production. Key areas include optimizing sales business, improving work efficiency through GenAI, and developing advertiser insights and recommendations. | Ship | 7 |
| Sr. Applied Scientist, Pricing Science The role involves applying deep learning, neural networks, and transformer architectures to price prediction and forecasting problems within Amazon's Pricing Optimization group. It focuses on developing and deploying ML models at scale to improve pricing and promotion strategies, requiring collaboration with product, engineering, and science teams. | Ship | 7 |
| 2026 Applied Scientist Intern, Amazon University Talent Acquisition Internship role focused on machine learning, deep learning, generative AI, LLMs, speech technology, robotics, computer vision, optimization, operations research, quantum computing, automated reasoning, or formal methods. The intern will own the design and development of end-to-end systems, write technical white papers, create roadmaps, and drive production-level projects. Collaboration with scientists and other interns is expected, with opportunities to design new algorithms and models. | Ship | 7 |
| 2026 Applied Scientist Intern, Amazon University Talent Acquisition MS or PhD student internship in machine learning, deep learning, generative AI, LLMs, speech technology, robotics, computer vision, optimization, operations research, quantum computing, automated reasoning, or formal methods. Focus on designing and implementing state-of-the-art solutions for complex business problems, potentially leading to production-level projects and technical white papers. Collaboration with scientists and other interns is expected. | Ship | 7 |
| 2026 Applied Scientist Intern, Amazon University Talent Acquisition MS or PhD student internship in machine learning, deep learning, generative AI, LLMs, speech, robotics, computer vision, optimization, operations research, quantum computing, automated reasoning, or formal methods. Focus on designing and developing end-to-end systems, writing technical white papers, creating roadmaps, and driving production-level projects. Opportunity to design new algorithms and models, potentially publish work at top-tier conferences. | Ship | 7 |
| 2026 Applied Scientist Intern, Amazon University Talent Acquisition MS or PhD student internship in machine learning, deep learning, generative AI, LLMs, speech, robotics, computer vision, optimization, OR, quantum computing, automated reasoning, or formal methods. Focus on inventing, designing, and implementing state-of-the-art solutions for complex problems. Will own design and development of end-to-end systems, write technical white papers, create roadmaps, and drive production-level projects. Opportunity to design new algorithms and models, and deploy them into production, potentially publishing work at top-tier conferences. | Ship | 7 |
| Research Scientist, Last Mile Science Research Scientist role focused on applying machine learning and data-driven solutions to optimize Amazon's last-mile delivery logistics. The role involves building ML models for business applications, developing scalable processes, and making strategic, data-driven decisions to improve customer experience and operational efficiency within the logistics network. | Ship | 7 |
| Applied Scientist II, Prime Video - Personalization and Discovery Science Applied Scientist II at Amazon Prime Video focusing on personalization and discovery science. The role involves developing ML models for recommendation and search systems using deep learning, online learning, and optimization methods. It requires staying updated with the latest modeling techniques, publishing research findings, and applying advanced approaches like foundation models to solve cold-start problems and discover niche customer interests. The scientist will work on highly scalable page personalization solutions and collaborate with engineers and product managers. | Ship | 7 |
