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 |
|---|---|---|
| Applied Scientist, Alexa AI Applied Scientist role focused on advancing and deploying ML/RAG systems for Alexa, involving full ML lifecycle from data analysis and model building to deployment and A/B testing, with opportunities for publication and scaling innovations. | ShipPost-train | 8 |
| Applied Scientist - ML and Robotics Applied Scientist at Amazon Robotics focused on developing ML-based manipulation controllers for robotic systems. The role involves integrating learning with control, estimation, and planning, leveraging simulation and real-world data to create robust policies for grasping, insertion, and object handling. The scientist will collaborate with cross-functional teams to transition research prototypes into production systems for large-scale deployment in fulfillment centers. |
| ShipData |
| 8 |
| Sr. Software Development Engineer - AI, Prime Video - Personalization and Discovery Science Senior Software Development Engineer focused on AI for Prime Video's personalization and discovery systems. The role involves developing AI solutions using deep learning, GenAI, and reinforcement learning, leading end-to-end delivery, conducting experiments, and collaborating with cross-functional teams. The position also emphasizes mentoring junior engineers and publishing research findings. | Ship | 8 |
| Senior Applied Scientist (Computer Vision), Camera and Sensors Senior Applied Scientist focused on computer vision and multimodal perception models for Amazon devices, involving algorithm development, experimentation, and implementation with large-scale data and computing resources. | Ship | 8 |
| Head of Applied Science The Head of Applied Science at Audible will manage research teams, drive technical vision and strategy, and translate complex business requirements into production-ready ML solutions. This role involves leading the full development cycle from research to maintenance, evaluating new ML technologies, and collaborating across science, engineering, and product teams to deliver customer-facing AI products. | Ship | 8 |
| Applied Scientist III, Whole Body Control This Applied Scientist III role focuses on developing advanced robotics systems by applying deep learning and large language models to whole body control for balance, locomotion, and dexterous manipulation. The role involves implementing real-time controllers and collaborating with multi-disciplinary teams to shape the future of automation and human-robot collaboration. | ShipAgent | 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 |
| Senior Applied Scientist, Sponsored Products and Brands Senior Applied Scientist role focused on architecting and pioneering applied science in multi-modal Generative AI for Amazon's Sponsored Products and Brands advertising platform. The role involves end-to-end innovation from research to production deployment at Amazon scale, with a focus on non-US marketplaces and leveraging technologies like LLMs and semantic hash designs. The candidate should have experience building ML models, deep technical expertise, and a proven track record of delivering value with state-of-the-art technologies in production environments. | ShipAgent | 8 |
| Applied Science Manager, AWS Generative AI Innovation Center Manager for an AWS Generative AI Innovation Center focused on building and deploying generative AI solutions for customers, managing a team of scientists and engineers, and driving adoption of AI technologies. | ShipPost-train | 8 |
| Senior Manager, Applied Science, Prime Video Advertising Senior Manager, Applied Science at Amazon Prime Video Advertising, leading a team to build and scale ML/AI solutions for advertising optimization, experimentation, and generative AI-powered ad creative generation. The role involves setting scientific vision, managing managers, and driving strategic initiatives in a rapidly growing business. | Ship | 8 |
| Applied Scientist II, Alexa Ads Applied Scientist II at Amazon Alexa Ads focused on building Generative AI models for conversational ads and personalization. The role involves designing, developing, and evaluating deep learning and GenAI models, conducting data analysis, building ML pipelines, running A/B experiments, and collaborating with engineers for production deployment. The team is greenfield, aiming to rethink ad ranking, pricing, and personalization for voice and screen surfaces, with opportunities for both shipping products and publishing research. | ShipAgent | 8 |
| Senior Applied Scientist, Alexa Ads Senior Applied Scientist role focused on building Generative AI models for conversational ads and personalization within the Alexa ecosystem. The role involves designing, developing, and evaluating deep learning and GenAI models, conducting data analysis, building ML pipelines, running A/B experiments, and collaborating with engineers for production deployment. The team is greenfield, aiming for direct business impact and encouraging both production deployment and top-tier publications. | ShipAgent | 8 |
| Generative AI Solutions Architect, AWS Global Government Specialist SA This role focuses on designing and implementing generative AI solutions for government customers using AWS services. The Solutions Architect will act as a Subject Matter Expert, guiding customers and internal teams on leveraging AI for automation and cost reduction. The role requires deep technical experience in AI/ML and integrating these services into production applications. | Ship | 8 |
| Generative AI Solutions Architect, AWS Global Government Specialist SA This role focuses on designing and implementing generative AI solutions for government customers using AWS services. The Solutions Architect will act as a Subject Matter Expert, guiding customers and internal teams on leveraging AI for automation and cost reduction. The role requires deep technical experience in AI/ML and integrating these services into production applications. | Ship | 8 |
| Applied Scientist, EU INTech Consumer Selection Discovery, EU InTech Consumer Selection Discovery Amazon is seeking Applied Scientists to build software and machine learning models for customer discovery experiences, focusing on ranking, recommendations, and computer vision. The role involves developing and deploying state-of-the-art models, including text-to-image and image-to-text, to enhance customer engagement with the Amazon catalog. | Ship | 8 |
| Principal Applied Scientist, Sponsored Products and Brands The Principal Applied Scientist will lead the development and deployment of generative AI technologies for Amazon Ads, specifically within the Sponsored Products and Brands team. This role involves reinventing advertising experiences by integrating AI into the ad lifecycle, from creation to performance analysis. The scientist will invent new product experiences, bring state-of-the-art GenAI models to production, and define the long-term science vision for the advertising business, collaborating closely with science, product, and engineering teams to deliver high-impact products. | Ship | 8 |
| Sr. Mgr, Applied Science, Personalization Senior Manager of Applied Science at Amazon, leading a multidisciplinary team to build the next generation of personalized shopping experiences. The role involves developing state-of-the-art LLM-based techniques, deep learned transformer models for customer intent, and large-scale real-time multi-task ranking systems. The goal is to create AI primitive systems that empower other teams and directly impact millions of customers through personalized features. | ShipServe | 8 |
| Principal Applied Scientist, Amazon Payments Principal Applied Scientist for Amazon Payments AI/ML Team, focusing on AI services for payments, recommendation, prediction, and GenAI for SOP automation. The role involves setting AI direction, mentoring scientists, partnering with engineering to deliver ML/GenAI features, identifying research directions, creating roadmaps, and bringing research to production. Requires a PhD or MSc with 10+ years of experience, a track record of thought leadership, and strong collaboration skills. | Ship | 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 |
| Director of Science, Geospatial Director of Science, Geospatial at Amazon, leading a team of ~50 scientists focused on AI/ML solutions for last-mile delivery operations. The role involves developing and deploying solutions for geospatial problems, including address validation, place datasets, road networks, and leveraging edge data. Key focus areas include GenAI (LLMs, VLMs, agents), computer vision, and traditional ML to optimize delivery routes, improve data fidelity, and drive business impact. The role requires interfacing with senior stakeholders, strategic planning, and building a high-performing team. | ShipAgent | 8 |
| Sr. Applied Scientist, Prime Video - Personalization and Discovery Science Sr. Applied Scientist at Amazon Prime Video focused on developing and launching AI solutions for personalization and discovery systems, impacting millions of customers. | 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 |
| Sr. Applied Scientist – AI Velocity Team, Applied AI Acceleration Solutions Architecture Senior Applied Scientist role focused on developing and deploying AI/ML models and analytics for customer-facing AI solutions within Amazon Connect. The role involves working directly with customers to accelerate production deployments, designing and building AI solutions, conducting experiments, quantifying business value, and applying NLP/generative AI techniques. It spans conversational analytics and agentic AI capabilities, with a strong emphasis on driving measurable business impact and operational excellence in customer environments. | ShipAgent | 8 |
| Applied Scientist, Sponsored Products Off-Search Homepage Team This role focuses on applying Generative AI and LLMs to transform ad experiences on Amazon's homepage and other surfaces, impacting product discovery and customer engagement. It involves building and deploying models for ad retrieval, auctions, and personalized shopping experiences, operating across the full stack from backend systems to the user-facing layer. | 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 |
| Applied Science Manager, AWS Generative AI Innovation Center Manager for an AWS Generative AI Innovation Center focused on building and delivering generative AI solutions for customers, managing a team of scientists and engineers, and driving adoption and strategic relationships. | ShipPost-train | 8 |
| Senior Manager, Science and BI Lead, WWOS Tech Senior Manager to lead an AI-first security technology organization, owning the enterprise AI/ML roadmap, leading a team of scientists and BIEs, and delivering production AI/ML models for efficiency gains and loss reduction. The role involves establishing AI/ML delivery standards, building MLOps infrastructure, and partnering with business and technical leaders, while ensuring responsible AI and compliance with regulations. | ShipServe | 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 |
| Principal Applied Scientist, Robotics This role focuses on developing advanced robotics systems that integrate AI, control systems, and mechanical design for automation. The scientist will define the scientific roadmap for whole body control and dexterous manipulation, applying deep learning and LLMs to solve complex operational challenges in dynamic environments. The role involves research and practical implementation of AI in physical robotic hardware, with a focus on shipping these systems. | ShipAgent | 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, Amazon Prime, Prime AI/ML Science Applied Scientist role focused on building and deploying AI/ML models for customer behavior prediction and personalization within Amazon Prime. The role involves working with large-scale data, leveraging GenAI, LLMs, deep learning, and reinforcement learning, and contributing to production AI/ML systems. Emphasis on scientific research, publication, and utilizing AWS technologies. | ShipAgent | 8 |
| Applied Scientist, Mobile Manipulation Robotics (I/O) Applied Scientist focused on developing learning-based approaches for mobile manipulation in robotics, aiming to advance capabilities for robots navigating and manipulating objects in dynamic fulfillment environments. The role involves model development, training, data management, experimentation, validation, and code development for production systems at Amazon's scale. | ShipData | 8 |
| 2026 Fall Applied Science Internship - Recommender Systems/ Information Retrieval (Machine Learning) - United States, PhD Student Science Recruiting This internship focuses on developing and evaluating new recommendation and search algorithms, building data processing pipelines, and conducting research in recommender systems and information retrieval. The role involves applying machine learning, deep learning, and NLP techniques to large-scale datasets to improve personalized experiences for Amazon customers. | ShipData | 8 |
| 2026 Fall Applied Science Internship - Computer Vision - United States, PhD Student Science Recruiting This internship focuses on developing and implementing cutting-edge computer vision algorithms and models for Amazon's consumer-facing products and services, such as Rekognition, Go, and Visual Search. The role involves working with large-scale systems, including mobile robots and advanced tooling, to solve real-world problems. Interns will contribute to production-level projects, technical white papers, and roadmaps, with a strong emphasis on applied science and deep learning in computer vision, potentially involving Vision-Language Models and LLMs. | 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 |
| Principal Applied Scientist, Prime Video Personalization & Discovery Principal Applied Scientist role at Prime Video focused on inventing, developing, and deploying AI solutions for personalization and discovery. The role involves technical and strategic leadership, guiding ML systems from research to production, and mentoring scientists. Key responsibilities include prototyping and productionizing large-scale AI solutions using deep learning, generative AI, RL, and optimization, providing technical leadership, designing A/B tests, driving technical bar-raising, and staying ahead of industry trends. The team focuses on creating a highly personalized content discovery experience using ML and Generative AI. | 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 |
| Applied Science Manager GenAI, CreativeX, Amazon Advertising Manager for a team of applied scientists and ML engineers focused on building generative AI solutions for advertisers within Amazon Advertising. The role involves setting scientific strategy, mentoring scientists, managing talent, and delivering AI products at scale, with a focus on multi-modal generative AI for creative assets. | 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, Industrial Robotics Group Senior Applied Scientist role focused on developing AI and ML systems for industrial robotics and manufacturing, involving real-time decision making, optimization, and inventing new algorithms. The role requires delivering complex solutions into production and has a strong emphasis on scientific code development and evaluation. | ShipData | 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, Grocery, Retail & In-Store Experience (GRAISE) Applied Scientist role focused on designing, developing, and deploying machine learning and computer vision models for Amazon's in-store grocery technologies. The role involves end-to-end model development, from ideation to production, with a focus on solving complex grocery-domain problems at scale and improving the customer shopping experience. | ShipServe | 8 |
| Senior Forward Deployed Deep Learning Architect, Generative AI Innovation Center Senior Deep Learning Architect focused on implementing and fine-tuning Generative AI solutions for AWS customers, involving customer interaction, solution design, experimentation, and providing guidance on adoption and best practices. The role bridges customer needs with technical implementation and feedback to product teams. | ShipPost-train | 8 |
| Applied Scientist, Devices & Services Applied Scientist role focused on developing and implementing AI, computer vision, machine learning, and robotics solutions for customer-facing products and devices. The role involves establishing scalable processes for data analysis and model development, specifying and implementing robotic system functionality, and collaborating with cross-functional teams to deliver innovative intelligent systems at scale. | Ship | 8 |
| Manager, Applied Science , Brand Protection ML Manager for an Applied Science team focused on Brand Protection ML at Amazon. The role involves leading scientists to build and launch scalable AI/ML/LLM/GenAI solutions to identify and prevent infringement and counterfeit on Amazon's platform globally. The team works on complex business problems with significant customer impact, leveraging SOTA ML techniques and deep learning, computer vision, and NLP. | ShipPost-train | 8 |
| Applied Scientist, Brand Protection Machine Learning Applied Scientist role focused on building and deploying Generative AI solutions for Brand Protection using NLP, computer vision, and LLMs. The role involves end-to-end ownership from conception to launch, collaborating with product and engineering teams, and analyzing data to solve complex business problems at scale. | Ship | 8 |