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.
Currently tracking 1110 active AI roles, down 16% versus the prior 4 weeks. Primary focus: Agent · Engineering. Salary range $65k–$465k (avg $194k).
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 |
| 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 leveraging RL/IL, integrating with hardware, using simulation and real-world testing, and leading projects from conception to deployment within Amazon's Fauna Robotics team. |
| 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 |
| 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 |
| 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 |
| Postdoctoral Scientist, Amazon Robotics R&D Postdoctoral Scientist role in Amazon Robotics R&D focusing on computer vision and robotic manipulation for automating picking operations in fulfillment centers. The role involves developing ML solutions for robots to identify and interact with items in cluttered 3D scenes in real-time, with a focus on pushing research boundaries and deploying innovations to real warehouses. | ShipData | 8 |
| 2027 Applied Science Intern (Machine Learning, Recommender Systems), Amazon International Machine Learning Internship role focused on applying state-of-the-art Deep Learning, Recommender Systems, Information Retrieval, and NLP algorithms to large datasets for customer-facing products at Amazon. Involves developing novel solutions, building prototypes, contributing to research, and potentially delivering solutions to production. Collaboration with experienced scientists and opportunities for publication in top conferences. | Ship | 8 |
| Applied Scientist II, Prime Video - Personalization and Discovery Science This role focuses on developing and applying ML models, including foundation models, for recommendation and search systems within Prime Video's personalization and discovery science team. The goal is to enhance customer experience by recommending titles effectively and enabling discovery of niche interests. The role involves end-to-end ownership, experimentation, and collaboration with scientists, engineers, and product managers, with an emphasis on publishing research findings. | Ship | 8 |
| Applied Scientist II, Prime Video - Personalization and Discovery Science This role focuses on developing and applying ML models, including foundation models, for recommendation and search systems within Prime Video's personalization and discovery science team. The goal is to enhance customer experience by recommending titles effectively and enabling discovery of niche interests. The role involves end-to-end ownership, experimentation, and collaboration with scientists, engineers, and product managers, with an emphasis on publishing research findings. | Ship | 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, Special Projects This role is for a Sr. Applied Scientist on an Amazon Special Projects team focused on creating new products and services. The role involves leading research projects from ideation to production, driving ML/AI strategy, collaborating cross-functionally, publishing findings, and establishing best practices for ML experimentation and deployment. Requires a PhD or Master's with significant applied research experience, strong programming skills, and experience with ML/LLM fundamentals and deploying ML systems at scale. Experience with autonomous AI frameworks and translating research into production systems is preferred. | ShipServe | 8 |
| Applied Scientist, Customer360 This role focuses on researching, designing, and developing new AI technologies for personalization, leveraging LLMs, Information Retrieval, and Recommendation Systems to create unified customer understanding across Amazon's diverse businesses. The goal is to revolutionize customer experiences with AI-powered personalization and set new industry standards. | ShipAgent | 8 |
| Applied Scientist , AWS Healthcare-AI Senior Applied Scientist role at AWS Healthcare AI, focusing on developing and researching AI-driven clinical solutions to transform healthcare delivery. The role involves defining research directions, developing new ML techniques, and ensuring research translates into impactful products for clinicians and patients. Requires a PhD or Master's with significant experience in ML, NLU, deep learning, foundation models, and RL, with a strong publication record. | ShipPost-train | 8 |
| Applied Scientist (Fixed Term Contract), Amazon Music AI and Personalization Research scientist role focused on developing novel machine learning solutions for music and podcast recommendations within Amazon Music. The role involves implementing and validating ideas through A/B testing, producing innovative research for peer-reviewed publications, and building scalable models. It requires a PhD or Master's degree and experience in deep learning, ML, or NLP, with a focus on recommender systems. | ShipPost-train | 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 |
| Sr. Applied Science Manager, AGI Information This role leads teams of applied scientists and ML engineers to develop and deliver AI systems for Amazon businesses, focusing on integrating information into AI systems using techniques like RAG. The role involves defining technical roadmaps, mentoring teams, and driving research from conception to production, with a strong emphasis on building impactful AI-driven products and services. | 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 |
| 2026 Applied Scientist Intern, Amazon University Talent Acquisition MS or PhD student internship focused on machine learning, deep learning, generative AI, LLMs, speech, robotics, computer vision, optimization, operations research, quantum computing, automated reasoning, or formal methods. The role involves designing and developing end-to-end systems, writing technical white papers, creating roadmaps, and driving production-level projects. Interns will work closely with scientists to develop and deploy solutions, design new algorithms and models, and potentially publish work at top-tier conferences. | Ship | 8 |
| Sr. Applied Scientist, AWS Healthcare-AI Senior Applied Scientist at AWS Healthcare AI focused on developing and researching AI-driven clinical solutions to transform patient-clinician interaction and care documentation. The role involves leading research, developing new ML techniques, and ensuring research translates into impactful products, with a focus on generative AI experiences. | ShipPost-train | 8 |
| Personal Robotics Group - Applied Scientist II Intern / Co-op - 2026 (Robotics, Manipulation, Locomotion, Controls, Reinforcement Learning, Perception, Manipulation, Planning, HRI and more) PhD intern/co-op role in Amazon's Personal Robotics Group focusing on research and development of intelligent robotic products, including Amazon Astro. The role involves working on the full spectrum of robotics, from hardware design to software and control systems, with a focus on manipulation, locomotion, and human-robot interaction. Requires a PhD in a relevant field and experience in programming languages like Python, C++, or Java. | 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 I, Prime Video - Playback Intelligence Applied Scientist role at Amazon Prime Video focusing on enhancing customer playback quality of experience through machine learning and data science. Responsibilities include optimizing video streaming, anomaly detection, integrating new algorithms, and defining research directions. The role involves working with LLMs and generative AI, with a focus on translating research into practical applications and improving customer experience. | ShipPost-train | 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 , Rufus Experience Science The Rufus Experience Science team at Amazon is looking for a Scientist to build next-generation conversational shopping experiences. This role involves developing data-driven solutions, delivering and maintaining software and models in production, and collaborating cross-functionally. The ideal candidate will have experience implementing algorithms and a publication record at top-tier conferences. | Ship | 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 |
| Research Scientist II, Last Mile Science Research Scientist II role focused on optimizing Amazon's last mile delivery network using operations research and machine learning. The role involves developing and improving core decision models for planning, capacity, and routing, with a direct impact on customer experience and operational efficiency. Requires strong analytical, modeling, and data analysis skills, with the ability to translate business requirements into mathematical models and contribute to production systems. | 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 |
| Applied Scientist II This role focuses on developing advanced robotics systems by advancing physics-based simulation, sim-to-real transfer, and machine learning approaches. The primary goal is to create adaptable automation solutions for complex environments, with a secondary focus on data engineering for simulation. | ShipData | 7 |
| Principal Applied Scientist - AMZ9794093 Principal Applied Scientist role focused on designing, developing, evaluating, deploying, and updating data-driven models and analytical solutions for ML/NL applications. Involves applying statistical modeling, optimization, and ML techniques, running experiments in production, and researching novel approaches. Mentors junior scientists. | Ship | 7 |
| Research Scientist II, FinAuto-GREF Research Scientist role focused on applying Operations Research, forecasting, machine learning, and decision optimization to solve large-scale problems in Amazon's Global Real Estate and Facilities (GREF) organization. The role involves translating business problems into mathematical solutions, building scalable algorithms, and influencing operational decisions to optimize areas like employee routes, demand forecasting, capacity planning, resource allocation, cost reduction, and service reliability. | Ship | 7 |
| Research Scientist II, FinAuto-GREF Research Scientist role focused on applying Operations Research, forecasting, machine learning, and decision optimization to solve large-scale problems in Amazon's Global Real Estate and Facilities (GREF) organization. The role involves translating business problems into mathematical solutions, building scalable algorithms, and influencing operational decisions to optimize areas like employee routes, demand forecasting, capacity planning, resource allocation, cost reduction, and service reliability. | Ship | 7 |