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 |
|---|---|---|
| Senior Product Manager - Tech, Prime Video Personalization & Discovery Senior Product Manager - Tech for Prime Video Personalization & Discovery, focusing on owning the vision, strategy, and roadmap for core recommendations powered by ML models. The role involves collaborating with scientists and engineers, defining metrics, leading A/B testing, and making trade-off decisions for production-ready solutions. | Ship | 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 |
| Software Development Engineer - Maching Learning, Prime Video Personalization and Discovery Growth Software Development Engineer for Prime Video Personalization & Discovery Growth team, focusing on building and operating scalable measurement, attribution, and audience optimization systems that leverage AI/ML to connect customers with content and drive subscriber growth. The role involves designing and building services, data pipelines, integrating ML models, and impacting decisions for over 200M customers. | ShipData | 7 |
| Applied Scientist , Prime Video Personalization and Discovery Applied Scientist role at Amazon Prime Video focused on developing and launching end-to-end AI solutions for search and personalization systems, utilizing deep learning, GenAI, and reinforcement learning. The role involves designing and conducting experiments, collaborating with engineers and product managers, and publishing research findings. | Ship | 7 |
| Applied Scientist, Amazon Robotics - Vulcan This role focuses on designing, implementing, and deploying motion planning, control, and manipulation algorithms for robotic systems in Amazon fulfillment centers. It involves both engineered and learned approaches, with a strong emphasis on sim-to-real deployment and validation on production systems at scale. The role contributes to learned manipulation behaviors and controllers, requiring production-quality code and scalable, real-time implementations. | ShipAgent | 7 |
| Applied Scientist, Ads Measurement Science Applied Scientist role at Amazon Ads focusing on measurement science, developing solutions for performance measurement products, sales impact analysis, and AI tools for customer insights and workflow automation. The role involves end-to-end ownership of measurement solutions, from design to production, leveraging Generative AI, classical ML, Causal Inference, NLP, and Computer Vision. | Ship | 7 |
| Senior Applied Scientist, Ad Measurements Science Senior Applied Scientist role focused on developing and productionizing AI/ML models for ad measurement and performance analysis within Amazon Ads. The role involves end-to-end solution development, leveraging Generative AI, classical ML, NLP, and Computer Vision to provide insights and automate workflows for advertisers. Responsibilities include model development, experimentation, collaboration with engineering and business teams, and mentoring junior scientists. | 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 |
| Applied Science Manager, Prime Video - Content Localization, Understanding & Enrichment Manager for a team of scientists and engineers building video understanding and search systems for Prime Video. The role involves defining technical direction, leading the team, partnering with other teams, and owning the end-to-end delivery of production systems that analyze video content at scale. The focus is on leveraging ML, NLP, and computer vision to understand content for customer experiences. | ShipData | 7 |
| Principal Applied Scientist, Music Catalog and Search, Amazon Music Search and Catalog Principal Applied Scientist role at Amazon Music focused on leveraging foundation models to enhance music discovery, catalog understanding, and search systems. The role involves leading the design and implementation of applied science solutions, defining technical roadmaps, and driving technical excellence across multiple teams to improve customer experiences and content creator success. | Ship | 7 |
| AI/ML Specialist Solutions Architect, National Security Specialists Solutions Architecture Team This role focuses on designing and implementing generative AI solutions using AWS services for national security customers. The specialist will act as a Subject Matter Expert, guiding customers and internal teams on leveraging AI/ML technologies, developing reference architectures, and enabling broader adoption of AWS AI platforms. The role requires deep technical expertise in AI/ML and generative AI, with a focus on enterprise-grade solutions and cloud deployment. | ShipServe | 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 |
| Data Scientist II, Middle Mile Transportation Science team Data Scientist II on the NASC & TOM Science team at Amazon, focusing on Operations Research, Machine Learning, and AI for middle mile transportation planning. The role involves designing, building, and shipping ML and optimization models end-to-end, from problem framing to deployment and integration with planning tools. Key responsibilities include developing forecasting and optimization solutions, building validation and monitoring pipelines, and partnering with engineering teams for productionization. | ShipData | 7 |
| Applied Scientist II - P13N, Shopping Intent Applied Scientist II at Amazon's Personalization team, focusing on building the next-generation product recommendation engine for Amazon using LLM, Machine Learning, NLP, and Computer Vision. The role involves using big data and analytical techniques to create scalable solutions, designing and evaluating innovative models, and working closely with software engineers to drive model implementations and new feature creations. The scientist will also research and implement novel ML/statistical approaches and mentor junior scientists. | Ship | 7 |
| Senior Applied Scientist, Air Science & Tech Senior Applied Scientist role at Amazon Air Science & Tech focused on solving complex airline operations problems using machine learning. The role involves building end-to-end data pipelines, production code, and ML models to optimize operations and reduce costs. Requires experience in ML model building, deep learning, and programming languages, with a focus on business applications and decision support tools. | Ship | 7 |
| Manager, Applied Science, International Seller Services Manager for Applied Science team focused on International Seller Services at Amazon, leveraging generative AI, computer vision, and LLMs to solve e-commerce challenges and drive growth. The role involves leading end-to-end projects, providing technical direction, recruiting scientists, and launching AI models into production. | Ship | 7 |
| Applied Science Manager, Prime Video Personalization & Discovery Manager for a Prime Video personalization and recommendation science team, focusing on developing and launching AI solutions using deep learning, GenAI, and RL for customer experience. | Ship | 7 |
| Senior Applied Scientist - SLAM and Perception, Amazon Robotics Senior Applied Scientist role focused on SLAM and Perception for Amazon's autonomous warehouse robots. The role involves researching, designing, and implementing scientific approaches for sensor calibration, SLAM, and optimizing runtime performance. It requires delivering production-level code and supporting systems in production, with a focus on large-scale deployment and analysis frameworks for sensor data. The position also involves collaboration with various engineering and operations teams. | ShipServe | 7 |
| Software Development Engineer II, Digital Pricing and Competitive Intelligence (D-PRICIQ ), Digital Acceleration Software Development Engineer II on the Digital Pricing team at Amazon, focusing on building and designing next-generation AI-powered pricing systems for digital products. The role involves processing millions of prices daily using advanced AI models like LLMs and GenAI, making real-time pricing decisions, and working with AWS infrastructure and distributed systems at scale. | Ship | 7 |
| Senior SDE, Machine Learning, Prime Video Personalization & Discovery Senior Software Development Engineer on the Prime Video Personalization & Discovery team, responsible for building and operating ML systems that deliver millions of personalized recommendations per second. The role involves driving innovation through experimentation, leading engineering teams, system design, prototyping ML solutions, and planning A/B experiments to demonstrate customer value. The team focuses on ML-driven understanding of customer preferences to power video discovery experiences. | Ship | 7 |
| Applied Scientist II - AMZ9935275 Applied Scientist II role at Amazon Advertising focusing on designing, developing, evaluating, and deploying data-driven models and analytical solutions for ML and NL applications. The role involves applying statistical modeling, optimization, and ML techniques to business and engineering problems, researching new approaches, and mentoring junior scientists. Requires a Master's degree and one year of experience (or Bachelor's with five years) in ML/related fields, with experience in programming (Java, C++, Python) and developing supervised/unsupervised ML models. | Ship | 7 |
| Applied Scientist, SCOT-Inbound Systems This role focuses on designing, developing, and deploying advanced mathematical optimization and machine learning solutions for Amazon's supply chain problems. The scientist will work on inventory and distribution optimization, network design, and control theory, implementing solutions in Java/Python and collaborating with software engineering teams. The role involves research, prototyping, simulation, and production deployment, with a focus on improving code quality and potentially publishing work internally or externally. | ShipData | 7 |
| Senior Manager, Applied Science, Prime Video - Content Generation Team Senior Manager role focused on leading applied science teams in developing state-of-the-art generative AI, graphics, audio, and computer vision research for Prime Video's content generation. The role involves creating research roadmaps, recruiting and developing talent, and applying ML/NLP/IR knowledge to business applications. Requires significant experience in applied research, management, and building ML models. | Ship | 7 |
| Principal Product Manager - Tech, Personalization and Monetization, Prime Video Personalization & Discovery Principal Product Manager for Prime Video Personalization and Discovery, focusing on Monetization Strategy. This role involves defining product vision, strategy, and roadmap for ML-powered features, including recommendation systems. Responsibilities include translating business problems into algorithmic objectives, collaborating with applied scientists and ML engineers, defining metrics, leading A/B testing, and communicating complex concepts to leadership. The role requires experience managing and deploying ML products and understanding the model lifecycle. | ShipAgent | 7 |
| Delivery Consultant - AI/ML, AWS Professional Services This role is for a Delivery Consultant on the AWS Professional Services team, focusing on designing, implementing, and managing AI/ML and Generative AI solutions for enterprise customers. The consultant will work with customers to understand business needs, prepare data, develop and deploy models, and ensure solutions are scalable, secure, and performant using AWS services and MLOps best practices. The role involves acting as a trusted advisor, collaborating with cross-functional teams, and sharing knowledge. | ShipServe | 7 |
| Delivery Consultant - AI/ML, AWS Professional Services Healthcare Life Science Delivery Consultant for AWS Professional Services focused on AI/ML and GenAI solutions in the Healthcare and Life Sciences sector. Responsibilities include end-to-end project implementation, designing ML pipelines and MLOps, collaborating with cross-functional teams, and advising customers on AI/ML strategies using AWS services. | ShipServe | 7 |
| Applied Science Manager, Sponsored Products and Brands -- Offsite Manager for an Applied Science team focused on extending Amazon Ads campaigns beyond the Amazon store using generative AI and machine learning to deliver sponsored experiences in third-party environments. The role involves leading scientists and engineers, shaping product direction, developing roadmaps, and driving advertiser outcomes through ML/GenAI solutions. | Ship | 7 |
| Sr. Applied Scientist, WWGS Real Estate & Store Development This role focuses on applying machine learning and GenAI to develop forecasting and optimization models for Amazon's physical retail presence, supporting real estate and network planning decisions. The scientist will design, implement, and own end-to-end ML solutions, including MLOps, and enhance user interaction with GenAI. The role involves analyzing large datasets, presenting findings to leadership, and collaborating with cross-functional teams. | Ship | 7 |
| Applied Scientist - Perception (SLAM/VIO), Fauna Applied Scientist role focused on developing and optimizing Visual Inertial Odometry (VIO) and sensor fusion systems for intelligent robots, involving algorithm development, embedded deployment, and leveraging ML for perception. The role requires hands-on experience with sensors, hardware, and real-world data, with a focus on real-time performance on resource-constrained robotic platforms. | ShipServe | 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 |
| Software Development Engineer, Sponsored Products and Brands Off-Search Software Development Engineer on the Sponsored Products and Brands Off-Search team, focused on building hyper-scale systems and data pipelines leveraging Generative AI and LLMs to improve advertising and shopping experiences. The role involves designing and delivering scalable solutions for ad retrieval, allocation, and recommendations, transforming these into personalized and contextually aware parts of the customer journey. | Ship | 7 |
| Manager, Data Science, Outbound Communications Manager for a Data Science team focused on optimizing outbound communications for millions of customers using AI/ML, including LLMs and RL. The role involves leading the development of personalized messaging strategies, designing experiments, building propensity models, driving AI transformation in data accuracy and reporting, and owning financial planning frameworks. It also includes hiring, mentoring, and cross-functional partnership. | ShipPost-train | 7 |
| Applied Scientist, Ads Measurement Science Applied Scientist role at Amazon Ads focused on developing and productionizing end-to-end measurement solutions using Generative AI, classical ML, Causal Inference, NLP, and Computer Vision to provide insights and automate workflows for advertisers. | Ship | 7 |
| Senior Applied Scientist, Ad Measurements Science Senior Applied Scientist role focused on developing and productionizing AI/ML models for ad measurement and performance analysis within Amazon Ads. The role involves end-to-end solution development, leveraging Generative AI, classical ML, NLP, and Computer Vision to provide insights and automate workflows for advertisers. Responsibilities include model development, experimentation, collaboration with engineering and business teams, and mentoring junior scientists. | Ship | 7 |
| Applied Scientist II, Advertising Incrementality Measurement Applied Scientist II role focused on developing and implementing machine learning and causal inference models for Amazon's advertising incrementality measurement. The role involves end-to-end model development, improving existing solutions, and collaborating with product and engineering teams to bring solutions to production. The team builds scientifically-rigorous causal inference methodologies at scale to help customers understand the impact of advertising. | Ship | 7 |
| Software Development Engineer II, Digital Pricing and Competitive Intelligence (D-PRICIQ ), Digital Acceleration Software Development Engineer II role focused on building next-generation AI-powered pricing systems for Amazon's digital products. The role involves processing millions of prices daily using advanced AI models like LLMs and GenAI, working with AWS infrastructure, and designing distributed systems at scale. | Ship | 7 |
| Software Development Engineer II, Digital Pricing and Competitive Intelligence (D-PRICIQ ), Digital Acceleration Software Development Engineer II role focused on building next-generation AI-powered pricing systems for Amazon's digital products. The role involves processing millions of prices daily using advanced AI models like LLMs and GenAI, working with AWS infrastructure, and designing distributed systems at scale. | Ship | 7 |
| Software Development Engineer II, Digital Pricing and Competitive Intelligence (D-PRICIQ ), Digital Acceleration Software Development Engineer II role focused on building next-generation AI-powered pricing systems for Amazon's digital products. The role involves processing millions of prices daily using advanced AI models like LLMs and GenAI, working with AWS infrastructure, and designing distributed systems at scale. | Ship | 7 |
| Senior Applied Scientist, Ad Measurements Science Senior Applied Scientist role focused on developing and productionizing AI/ML models for ad measurement and performance analysis within Amazon Ads. The role involves end-to-end solution development, leveraging Generative AI, classical ML, NLP, and Computer Vision to provide insights and automate workflows for advertisers. Responsibilities include model development, experimentation, collaboration with engineering and business teams, and mentoring junior scientists. | Ship | 7 |
| Sr. Software Development Engineer, Measurement, Ad Tech, and Data Science (MADS) Senior Software Development Engineer role focused on developing innovative solutions in brand measurement for Amazon Ads, leveraging generative AI and machine learning to optimize advertising performance and provide AI-driven insights to advertisers. | Ship | 7 |
| Sr Applied Scientist, Digital Ads , Amazon Digital Advertising Senior Applied Scientist role focused on developing state-of-the-art measurement approaches and machine learning models for Amazon's digital advertising business, operating at Petabyte scale. The role involves designing and analyzing large-scale experiments, collaborating with engineering teams to productionize models, and establishing scalable processes for model development and validation. Requires expertise in experimental statistics, machine learning, or causal inference, with a focus on building sophisticated decision engines and measurement systems. | Ship | 7 |
| Senior Applied Scientist, AWS GameTech Cortex Senior Applied Scientist role focused on developing and deploying machine learning solutions for the gaming industry within AWS GameTech. The role involves full-stack data solutions, impacting game developers and player experiences through prediction, optimization, recommendation, and anti-cheat systems. Requires experience in building ML models, applied research, deep learning frameworks, and distributed systems, with a preference for AI product development at scale and RL/DRL experience. | Ship | 7 |
| Sr. TPM, GenAI, Catalog Systems The Sr. TPM will own the technical execution and strategy for product data enrichment using Generative AI, foundation models, and multimodal LLMs. This role involves translating business requirements into technical specifications, coordinating development across multiple engineering teams, and ensuring seamless integration into AI training pipelines. The goal is to bring GenAI enrichment capabilities to production at global scale for Amazon's next-generation product data systems. | ShipData | 7 |
| Data Scientist, Labs, SCOT Forecasting and Labs Data Scientist role focused on designing and operating an experimentation platform for supply chain optimization. The role involves advancing causal inference methodology, building production-grade infrastructure, and developing supply chain emulation systems to evaluate policy changes. The work directly influences significant inventory investments and operational decisions, with opportunities for publication in top venues. | ShipAgent | 7 |
| Sr. SDE, Machine Learning, Prime Video Personalization and Discovery Senior Software Development Engineer (SDE) on the Prime Video Personalization and Discovery team. This role focuses on building and evolving ML-driven systems for personalized recommendations and content discovery at scale for millions of Prime Video customers. The engineer will lead technical aspects, partner with stakeholders, and contribute to the strategic vision of the recommendation space. | Ship | 7 |
| Applied Scientist, Prime Video - Title Lifecycle Presentation Applied Scientist role at Amazon Prime Video focused on building machine learning systems for content presentation and discovery. The role involves working with multi-modal embeddings, contextualized ranking, reinforcement learning, and recommender systems to improve customer engagement with the Prime Video catalog. | Ship | 7 |
| Applied Science Manager, Ads Measurement Science Manager of Applied Science for Amazon Ads Measurement Science team, focusing on developing and leading a team to create solutions for performance measurement products. This includes leveraging Generative AI, classical ML, Causal Inference, NLP, and Computer Vision to measure ad spend impact, provide insights, and potentially develop agentic AI solutions for advertisers. The role involves managing scientists, defining strategy, and delivering scientific solutions. | Ship | 7 |
| Senior Applied Scientist , Sponsored Products and Brands Ads Response Prediction This role focuses on developing and deploying machine learning and generative AI models for Amazon's Sponsored Products and Brands Ads, aiming to personalize advertising experiences and optimize the ad-serving process. It involves data analysis, model development, A/B testing, and research into new AI solutions, with a strong emphasis on productionizing these models for a large-scale consumer product. | ShipPost-train | 7 |
| Principal Product Manager - Technical, Shopper Understanding and Response Prediction Principal Product Manager, Technical for Amazon's Shopper Understanding and Response Prediction team. This role focuses on driving business growth by defining and executing strategies for personalized shopping experiences on Amazon Search and Product pages. It involves working with deep learning models, large-scale ML pipelines, and real-time serving infrastructure, leveraging GenAI to improve shopper understanding and prediction systems. The role requires close collaboration with engineers and applied scientists to deliver tailored shopping experiences and requires strategic vision, technical depth, and analytical rigor. | ShipAgent | 7 |