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 |
|---|---|---|
| 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 |
| Sr. Product Manager – Tech, Alexa Daily Essentials Senior Product Manager, Technical for Amazon's Competitor Monitoring Team (CMT). This role is science-intensive, with ML and AI central to problem-solving. The PM will own product strategy, drive technical product decisions for large-scale distributed systems, and partner with Applied Scientists on the full ML lifecycle from experimentation to productionization. The focus is on improving competitive price intelligence accuracy, coverage, and speed for Amazon's pricing strategy across multiple marketplaces. | 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 |
| Senior Applied Scientist, FinAuto Senior Applied Scientist role focused on building and deploying machine learning models for fraud, theft, abuse, and waste prevention in financial transactions at Amazon. The role involves end-to-end ownership of business problems, from data analysis and model development to real-time implementation and maintenance, working closely with engineering and business teams. | Ship | 7 |
| Sr Manager, Applied Science, AWS Compliance & Security Assurance This role leads a team focused on building and operating automated reasoning technology for security and privacy assurance across Amazon and AWS. The team's core technology is a static analysis platform integrated into critical security workflows, impacting the security posture of AWS services. The role involves technical leadership, hands-on contribution to research and design, team management, product integration, and advancing the state of the art in static program analysis. | Ship | 7 |
| Senior Applied Scientist , Sponsored Products and Brands Ads Response Prediction The Senior Applied Scientist will work on the Sponsored Products and Brands team at Amazon Ads, focusing on re-imagining advertising through generative AI. The role involves developing and deploying machine learning models and optimization strategies for personalized shopping experiences, including response prediction and session-level understanding. Responsibilities include data analysis, A/B experimentation, and research into new ML and GenAI solutions to optimize the advertising lifecycle. | 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 Scientist II, Buyer Risk Prevention (BRP) Applied Scientist II role focused on building and deploying machine learning models for fraud and risk prevention in an e-commerce setting. The role involves end-to-end model development, leveraging Generative AI and LLMs, and collaborating with engineering and business stakeholders to ensure customer trust and profitability. | Ship | 7 |
| Applied Scientist, Buyer Risk Prevention (BRP) Applied Scientist role focused on building and deploying machine learning models for fraud and risk prevention in an e-commerce setting. The role involves working with large datasets, developing models, collaborating with engineers for production implementation, and experimenting with GenAI/LLMs. | Ship | 7 |
| Applied Scientist II, Buyer Risk Prevention (BRP) This role focuses on building and deploying end-to-end machine learning models for Amazon's Buyer Risk Prevention (BRP) system, utilizing GenAI/LLM technologies to enhance fraud detection and risk management. The scientist will own the full model development lifecycle, from problem formulation to production, and collaborate with engineering and business teams. | 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 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 |
| Software Development Engineer, Amazon Q Software Development Engineer role focused on building a new Generative AI application for enterprise use, involving translating requirements into deliverables, prototyping, and deploying scalable services. The role emphasizes collaboration with product managers, engineers, and applied scientists. | Ship | 7 |
| Software Development Engineer II, Featured Merchant Algorithm Software Development Engineer II on the Featured Merchant Algorithm team at Amazon. This role involves working with machine learning models to select the best offer for customers on Amazon's product detail pages and search results. The team focuses on optimizing customer experience by considering factors like price, availability, and delivery options. The engineer will collaborate with various stakeholders to strategize and launch new features, using data to drive decisions and present impact. | Ship | 7 |
| Applied Scientist, AWS GameTech Cortex Applied Scientist role focused on developing and deploying machine learning solutions for the gaming industry on AWS, impacting game developers and player experiences. Responsibilities include end-to-end ML project leadership, data analysis, collaboration with studios, and mentoring junior scientists. | Ship | 7 |
| Sr. Software Development Engineer - Shopping Personalization AI, Amazon Stores Senior Software Development Engineer to design and build AI systems for Amazon's Shopping Personalization, focusing on LLM-driven recommendations and discovery surfaces. The role involves owning team architecture, leading cross-team projects, and shipping AI-powered experiences at Amazon scale. | Ship | 7 |
| Software Development Engineer II, Amazon Shopping Personalization Software Development Engineer II at Amazon Shopping Personalization, focusing on building and scaling machine learning systems for product understanding and recommendation systems using multimodal LLMs. The role involves applying ML research to large-scale problems and delivering personalized customer experiences. | ShipPost-train | 7 |
| Software Development Engineer II, Amazon Shopping Personalization Software Development Engineer II at Amazon Shopping Personalization, focused on building and scaling machine learning systems for product understanding and recommendation systems using multimodal LLMs and advanced ML models. The role involves bringing research to production, optimizing for performance and scalability, and working with large volumes of data. | ShipPost-train | 7 |
| Senior Product Manager, Technical, Shopping Personalization AI Senior Technical Product Manager to own the vision, development, launch, and continuous improvement of AI-powered features personalizing Amazon's shopping experiences. This role involves partnering with engineering and science teams, designing and running experiments, and driving product strategy for personalization. | Ship | 7 |
| Applied Scientist, Amazon Business Ads Applied Scientist role at Amazon Business Ads focusing on building and deploying scientifically novel software solutions for B2B advertising products. Requires experience in model building for business applications and proficiency in Python/deep learning frameworks. | 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 |
| Software Development Engineer - Shopping Personalization AI, Amazon Stores Software Development Engineer role focused on building and operating AI systems for Amazon's Shopping Personalization. The role involves designing and implementing features that leverage generative AI and LLMs to create personalized recommendation experiences and discovery surfaces for customers at Amazon scale. | Ship | 7 |
| Software Development Engineer - Shopping Personalization AI, Amazon Stores Software Development Engineer role focused on building and operating AI systems for Amazon's Shopping Personalization. The role involves designing and implementing features that leverage generative AI and LLMs to create personalized recommendation experiences and discovery surfaces for customers at Amazon scale. | 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 |
| Senior Applied Scientist Senior Applied Scientist role focused on developing advanced robotics systems that integrate AI, control systems, and mechanical design for automation at Amazon's scale. The role involves research and implementation of deep learning and LLMs for robotic dexterous manipulation, locomotion, and human-robot interaction, bridging theoretical advancements with practical applications. | ShipAgent | 7 |
| Software Development Manager, RBS - Tech, RBS Manage a team of engineers building ML and generative AI systems for Amazon's retail operations, focusing on automation and scalable platforms. | Ship | 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 |
| Software Development Engineer, Rufus Software Development Engineer to build and improve a generative AI-powered shopping assistant for millions of Amazon customers. The role involves full vertical end-to-end ownership of features, working with product and design teams, and contributing to architecture and design. | 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 |
| Software Development Engineer, Advertising Software Engineer role focused on optimizing ad matching for Amazon's programmatic advertisement products. This involves working with machine learning models at high scale and low latency, applying MLOps and Software Engineering best practices to process large datasets, and integrating experimental results into production systems. The role emphasizes designing, testing, and delivering breakthroughs for Amazon's business, impacting multi-billion dollar businesses. | 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 Data Scientist, Special Projects Senior Data Scientist role focused on applying machine learning and advanced analytics to develop innovative consumer products. Responsibilities include working with complex datasets, designing experiments, benchmarking models, applying MLOps practices, and delivering end-to-end analyses. Requires strong statistical and programming skills, with experience in ML and building automated analytical systems. | Ship | 7 |
| Applied Scientist II, Amazon - Vertical Ads Applied Scientist II role focused on building and deploying machine learning models for Amazon's Vertical Ads products, leveraging computer vision, NLP, and deep learning to enhance ad effectiveness and 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 |
| Machine Learning Engineer, Sponsored Products and Brands Relevance Machine Learning Engineer on the Search Relevance team within Amazon Ads, focusing on using generative AI to improve product discovery and advertising relevance for millions of customers. The role involves designing and building scalable services and data pipelines for ML and LLMs, collaborating with scientists, and providing technical leadership. | Ship | 7 |
| Applied Scientist II, Last Mile Applied Scientist II role focused on developing and optimizing machine learning and GenAI solutions for Amazon's Last Mile delivery network. This role involves building models for business applications, improving algorithms, and optimizing system policies to enhance delivery capacity, customer experience, and operational efficiency. Requires strong research experience in ML, Computer Vision, or GenAI, with a focus on production systems and data analysis. | Ship | 7 |
| Head of AI Transformation - APJC, Generative AI Innovation Center Head of AI Transformation for AWS Generative AI Innovation Center in APJC, leading teams to accelerate enterprise AI transformation by embedding with customers, proving impact in sprints, and scaling solutions. Requires a GM mindset with fluency in engineering, applied science, go-to-market, and customer delivery, engaging with C-suite executives to sell transformation and influence product roadmaps. | Ship | 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 |