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 |
|---|---|---|
| Applied Scientist, Amazon Ads, Demand Forecasting & Guidance The Applied Scientist will lead Machine Learning efforts for Amazon Ads' Demand Forecasting & Guidance team. This role involves hands-on analysis and modeling of large datasets to develop insights, build and deploy ML models into production, and run A/B experiments. The goal is to create best-in-class forecasting products for advertisers to predict campaign outcomes and optimize ad performance, directly impacting key business decisions. | Ship | 7 |
| Data Scientist, IES CFX & Prime This role focuses on developing and deploying machine learning systems to protect Amazon's online marketplace from fraudulent customer behavior and improve customer experience. It involves using GenAI for promotions and collaborating with cross-functional teams to build scalable ML solutions. | Ship |
| 7 |
| Applied Scientist, Prime Video - Personalization and Discovery Science Applied Scientist role focused on developing and launching AI solutions for Prime Video's personalization and discovery systems, involving deep learning, GenAI, RL, and optimization. The role requires end-to-end ownership, experimental design (offline and A/B testing), and publishing research findings. Experience with recommender systems and personalization is preferred. | Ship | 7 |
| Software Development Engineer, Ring Cloud Computer Vision Software Development Engineer role focused on building and scaling AI-powered computer vision cloud services for Ring's consumer electronics products, serving tens of millions of users globally. The role involves full software development lifecycle, from design and development to deployment and operations, with a focus on high-availability, resilience, and scalability. | Ship | 7 |
| Applied Scientist II, Amazon Stores Economics and Science (SEAS) Applied Scientist role focused on building and delivering state-of-the-art science and engineering solutions for Amazon's Stores business, leveraging machine learning, optimization, and economics to improve business metrics. The role involves developing and maintaining scientific models, benchmarks, and services, and deploying solutions in partnership with product teams. | Ship | 7 |
| Applied Scientist II, Buyer Risk Prevention (BRP) Applied Scientist II role focused on building and deploying end-to-end machine learning models for fraud and risk prevention in an e-commerce environment. The role involves leveraging Generative AI and LLMs to enhance detection systems, analyzing large datasets, and collaborating with engineering and business stakeholders. Requires experience in model development from problem formulation to production, with a focus on scalable ML solutions. | Ship | 7 |
| Applied Scientist, Pricing Science Applied Scientist role focused on developing and launching customer-obsessed pricing algorithms for billions of products worldwide. This involves leveraging large-scale multi-modal datasets, applying machine learning, predictive modeling, causal inference, and reinforcement learning to optimize pricing strategies and tools for sellers. The role emphasizes collaboration with product and engineering teams, continuous learning, and delivering business impact through innovative pricing solutions. | ShipAgent | 7 |
| Applied Scientist, AWS Applied AI Solutions Core Services Applied Scientist role focused on developing and productizing AI solutions for enterprise services within AWS. The role involves designing and implementing ML systems for diverse applications, creating scalable algorithms, conducting experimentation with advanced techniques (LLMs, CV, agentic AI), and collaborating with engineering and product teams to deliver customer impact. The primary output is shipped AI products, with a secondary focus on agentic AI systems. | ShipAgent | 7 |
| Software Development Engineer, RecsAI - Personalization Software Development Engineer role focused on building and scaling Amazon's next-generation recommendation system (RecsAI) which uses LLMs trained for shopping to provide personalized product suggestions. The role involves designing, building, testing, and operating features for this system, collaborating with product and science teams, and ensuring maintainability, scalability, performance, and reliability at Amazon scale. It emphasizes end-to-end ownership, experimentation, and integrating generative AI into real-time recommendation experiences. | Ship | 7 |
| Data Scientist II (ADBL175) Data Scientist II at Audible (Amazon) focused on building production-ready LLM solutions and recommendation systems. Requires a Master's degree and 2+ years of experience in data science, ML modeling, Python/R, and non-linear models. Experience with LLMs (programmatic access, evaluation, fine-tuning), recommendation systems, and SQL/ETL is required. | ShipPost-train | 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, Sales AI Applied Scientist role focused on Generative AI and quantitative modeling for Amazon Advertising Sales. The role involves conceptualizing and leading research on ML/GenAI solutions, guiding technical approaches, conducting data analysis, running A/B experiments, and working with engineers to deliver end-to-end solutions into production. Key areas include optimizing sales business, improving work efficiency through GenAI, and developing advertiser insights and recommendations. | Ship | 7 |
| Applied Scientist II, Amazon Fulfillment Technology (AFT) Science Applied Scientist II at Amazon Fulfillment Technology (AFT) Science, focusing on developing production solutions for Amazon's Fulfillment Network using operations research, optimization, statistics, machine learning, and GenAI/LLM. The role involves designing, building, and deploying scalable mathematical models and optimization-driven solutions to improve process efficiency and associate experience within the fulfillment network. Collaboration with scientists, software engineers, and product managers is key, with a focus on translating research into production systems. | Ship | 7 |
| Senior Manager, Applied Science, Network Planning Solutions Senior Manager role focused on leading AI/ML innovation for network planning solutions, involving demand forecasting and network optimization algorithms. The role requires developing and deploying production-ready models, architecting scalable AI/ML infrastructure, and driving scientific innovation from research to production, ultimately translating AI/ML capabilities into measurable business outcomes. It emphasizes leading a team of applied scientists and collaborating with cross-functional partners. | ShipData | 7 |
| Data Scientist, SPX AI Lab, SPX Science The role focuses on applying advanced analytical, statistical, and machine learning techniques to improve Amazon's Selling Partner experience through a Generative AI-powered conversational assistant. Responsibilities include analyzing seller pain points, evaluating feature performance, designing measurement frameworks (A/B testing, causal inference), applying NLP and statistical modeling to unstructured data, and partnering with cross-functional teams to influence product roadmaps. The goal is to enhance the Selling Assistant by responding to seller feedback and implementing fixes in the GenAI solution. | Ship | 7 |
| Applied Scientist, Amazon Ads, Demand Forecasting & Guidance Applied Scientist role at Amazon Ads focusing on Generative AI, AI Agents, and large-scale ML for demand forecasting. Responsibilities include leading ML initiatives, developing and optimizing forecasting models, building and deploying ML models, designing A/B experiments, establishing scalable ML infrastructure, and researching innovative ML techniques. Requires 3+ years of model building experience, a PhD or Master's with 4+ years of experience in a related field, and programming experience in Java, C++, or Python. Preferred qualifications include experience with experimental design and deep learning frameworks. | ShipServe | 7 |
| Software Development Engineer 2, Amazon Business Software Development Engineer 2 role on the Unified Risk Evaluation System team at Amazon Business, focusing on fraud prevention and risk management using machine learning and scalable systems to process billions of transactions globally. The team builds self-service capabilities for ML model experimentation and manages numerous risk use cases. | Ship | 7 |
| Sr Applied Scientist, Amazon Shipping Lead ML teams building large-scale forecasting and optimization systems for Amazon's global transportation network, impacting customer experience and cost. The role involves setting scientific direction, mentoring scientists, and delivering production-grade ML solutions at scale, using techniques like deep learning and reinforcement learning. | Ship | 7 |
| Senior Applied Scientist, Amazon Industrial Robotics Senior Applied Scientist role focused on developing next-generation advanced robotics systems that combine AI, control systems, and mechanical design for automation at Amazon's scale. The role involves research and implementation of deep learning and LLMs for robotics, with a focus on simulation, physics-based modeling, and sim-to-real gap reduction. | Ship | 7 |
| Sr. Manager, Applied Science, Marketing Measurement and Performance Science (MAPS) Senior Manager, Applied Science for Marketing Measurement and Performance Science (MAPS) at Amazon. This role focuses on building scalable ML and causal inference solutions to estimate marketing effectiveness and provide insights for marketing teams. It involves leading a team of scientists, developing end-to-end causal inference models, and influencing multi-billion dollar investment decisions. The role requires expertise in ML/DL, statistics, economics, and handling large datasets at scale, with a focus on delivering data-driven solutions that impact business strategy and customer behavior. | Ship | 7 |
| Applied Scientist, Private Brands Discovery Applied Scientist role focused on designing and building machine learning solutions for customer discovery of Amazon's Private Brands. The role involves end-to-end project management from ideation to launch, with a strong emphasis on causal ML, deep learning, and deploying models to production. The goal is to drive customer awareness and product discovery, impacting Amazon's own brands and contributing to broader discovery solutions across the company. | Ship | 7 |
| Sr. Applied Scientist, Pricing Science The role involves applying deep learning, neural networks, and transformer architectures to price prediction and forecasting problems within Amazon's Pricing Optimization group. It focuses on developing and deploying ML models at scale to improve pricing and promotion strategies, requiring collaboration with product, engineering, and science teams. | Ship | 7 |
| 2026 Applied Scientist Intern, Amazon University Talent Acquisition Internship role focused on machine learning, deep learning, generative AI, LLMs, speech technology, robotics, computer vision, optimization, operations research, quantum computing, automated reasoning, or formal methods. The intern will own the design and development of end-to-end systems, write technical white papers, create roadmaps, and drive production-level projects. Collaboration with scientists and other interns is expected, with opportunities to design new algorithms and models. | Ship | 7 |
| Senior Applied Scientist, Amazon Stores Economics & Science (SEAS) Senior Applied Scientist role focused on applying optimization, statistical learning, and algorithm development to solve complex supply chain and marketplace problems within Amazon's Stores organization. The role involves leading science initiatives from research to production, designing algorithms for mechanism design, and influencing technical strategy. | Ship | 7 |
| 2026 Applied Scientist Intern, Amazon University Talent Acquisition MS or PhD student internship in machine learning, deep learning, generative AI, LLMs, speech technology, robotics, computer vision, optimization, operations research, quantum computing, automated reasoning, or formal methods. Focus on designing and implementing state-of-the-art solutions for complex business problems, potentially leading to production-level projects and technical white papers. Collaboration with scientists and other interns is expected. | Ship | 7 |
| Sr. Applied Scientist, Last Mile Science The Sr. Applied Scientist role in Amazon Logistics focuses on optimizing last-mile delivery operations through the development and application of machine learning models and algorithms. The role involves estimating costs, improving metrics, developing scalable processes, and working with technology teams to build new tools and systems that impact customer experience and delivery efficiency. It requires a PhD or equivalent experience in a quantitative field and strong analytical and program management skills. | Ship | 7 |
| 2026 Applied Scientist Intern, Amazon University Talent Acquisition MS or PhD student internship in machine learning, deep learning, generative AI, LLMs, speech technology, robotics, computer vision, optimization, operations research, quantum computing, automated reasoning, or formal methods. Focus on designing and implementing state-of-the-art solutions for complex problems, potentially leading to production deployment and publication. | Ship | 7 |
| 2026 Applied Scientist Intern, Amazon University Talent Acquisition MS or PhD student internship in machine learning, deep learning, generative AI, LLMs, speech, robotics, computer vision, optimization, operations research, quantum computing, automated reasoning, or formal methods. Focus on designing and developing end-to-end systems, writing technical white papers, creating roadmaps, and driving production-level projects. Opportunity to design new algorithms and models, potentially publish work at top-tier conferences. | Ship | 7 |
| 2026 Data Scientist Internship , Amazon University Talent Acquisition MS student internship focused on building and deploying machine learning models for Amazon's business problems, with potential for worldwide scale. The role involves working with large datasets and cloud technology, and defining metrics for customer satisfaction. | Ship | 7 |
| Sr. Manager, Applied Science, Sponsored Products and Brands This role leads science and engineering for AI-powered sponsored product ads in offsite shopping experiences, focusing on generative AI and large-scale ML solutions. The goal is to revolutionize advertising by bridging human creativity with AI, impacting ad creation, optimization, performance analysis, and customer insights. The role involves extending campaigns to reach customers off-store and on third-party sites, working with external and internal partners, and driving results at scale with a GenAI-first approach. It requires significant experience in building large-scale ML/AI solutions and people management. | Ship | 7 |
| 2026 Applied Scientist Intern, Amazon University Talent Acquisition MS or PhD student internship in machine learning, deep learning, generative AI, LLMs, speech, robotics, computer vision, optimization, OR, quantum computing, automated reasoning, or formal methods. Focus on inventing, designing, and implementing state-of-the-art solutions for complex problems. Will own design and development of end-to-end systems, write technical white papers, create roadmaps, and drive production-level projects. Opportunity to design new algorithms and models, and deploy them into production, potentially publishing work at top-tier conferences. | Ship | 7 |
| Principal Applied Scientist, Personalization Principal Applied Scientist role focused on building next-generation personalized shopping experiences at Amazon using LLMs, transformer models, and large-scale ranking systems. The role involves innovating features and models, leading science innovation, driving the science roadmap, and mentoring scientists. It aims to create a personalized shopping experience tailored to customer intent and product catalog understanding. | ShipAgent | 7 |
| Research Scientist, Last Mile Science Research Scientist role focused on applying machine learning and data-driven solutions to optimize Amazon's last-mile delivery logistics. The role involves building ML models for business applications, developing scalable processes, and making strategic, data-driven decisions to improve customer experience and operational efficiency within the logistics network. | Ship | 7 |
| Applied Scientist II, Prime Video - Personalization and Discovery Science Applied Scientist II at Amazon Prime Video focusing on personalization and discovery science. The role involves developing ML models for recommendation and search systems using deep learning, online learning, and optimization methods. It requires staying updated with the latest modeling techniques, publishing research findings, and applying advanced approaches like foundation models to solve cold-start problems and discover niche customer interests. The scientist will work on highly scalable page personalization solutions and collaborate with engineers and product managers. | Ship | 7 |
| 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 search and discovery systems, utilizing deep learning, GenAI, and reinforcement learning. The scientist will design and conduct experiments, collaborate with engineers and product managers, and publish research findings. The role is within the consumer domain, aiming to improve customer experience for millions of users. | Ship | 7 |
| Software Development Manager, Featured Merchant Algorithm Manage a team responsible for the machine learning models and algorithms that select the featured offer ('Buy Box') on Amazon's product pages, influencing customer purchase decisions across billions of daily interactions worldwide. This role involves technical direction, stakeholder management, and driving the customer buying experience. | Ship | 6 |
| Software Development Engineer, Sponsored Product and Brands Sourcing Delivery Software Development Engineer role focused on building and optimizing high-throughput, low-latency distributed systems for Sponsored Products ad delivery at Amazon. The role involves working at the intersection of search architecture, information retrieval, NLP, and deep learning at massive scale to improve ad coverage, relevance, and performance. It requires designing, developing, and operating these systems, handling billions of requests per day with millisecond response times, and innovating in core areas to advance ad matching capabilities. The team is also re-imagining advertising through generative AI technologies. | Ship | 5 |
| Senior Software Engineer, Amazon Access Senior Software Engineer role focused on building greenfield infrastructure for Amazon Access, a healthcare benefits platform. The role involves designing and building scalable, ML-integrated systems for personalization and eligibility, with a focus on end-to-end ownership, architectural decisions, and applying engineering best practices. The position is part of the founding Bangalore engineering team and requires experience in distributed systems, ML, and potentially healthcare/fintech domains. | Ship | 5 |
| Program Manager, Alexa AI Program Manager for Alexa AI, focusing on driving cross-functional programs from machine learning research to customer-facing product delivery. The role involves managing the end-to-end lifecycle of initiatives, defining requirements, driving execution, and communicating progress and risks to senior leadership. It requires collaboration with engineers and scientists to ship features and improvements across languages, modalities, and devices. | Ship | 5 |
| Senior Manager, PMT-ES, Amazon Connect Customer Senior Product Manager for Amazon Connect's Workforce Acceleration team, focusing on developing next-generation generative AI-infused contact center capabilities. The role involves defining product roadmaps, requirements, and go-to-market strategies, working cross-functionally to deliver high-scale, customer-focused solutions. | Ship | 5 |
| Senior Business Intelligence Engineer, EU Stores CX Analytics & Automation Senior Business Intelligence Engineer focused on building and scaling personalised recommendations for millions of customers across European marketplaces. The role involves blending real-time customer intent signals with large-scale EU retail data, applying custom processors and matching models, and developing custom models using Python and Spark (e.g., embeddings modelling, customer persona matching). It also includes building and deploying production-grade Python services, serverless infrastructure (AWS Lambda, CDK), and APIs (FastAPI) for marketing teams, as well as owning reporting and measurement suites for personalised marketing campaigns and conducting deep-dive analytics. | ShipAgent | 5 |
| Senior Product Manager - Tech, Sponsored Products and Brands Product Manager role focused on defining product strategy and driving the development of conversational AI-powered advertising experiences for Amazon Ads, aiming to revolutionize customer discovery and brand engagement. | ShipAgent | 5 |
| Sr. Manager - PMT, Sponsored Products and Brands - Marketplace Intelligence Sr. Manager, Product Management – Technical to lead the team responsible for differentiated recommendation experiences on Amazon's search results pages, which are AI-generated discovery modules and personalized collections that offer shoppers curated, organized and highly personalized advertising. This role manages a cross-functional team of scientists, engineers and product managers and defines the long-term vision for ad recommendation experiences on Amazon Search. | Ship | 5 |
| Applied Scientist, AWS Science of Security Applied Scientist in AWS Science of Security focused on building models for business applications to enhance AWS security, privacy, and sovereignty. The role involves solving complex problems, owning solution design and delivery, and providing cross-organizational technical influence. | Ship | 5 |
| Software Development Engineer, Personalization Software Development Engineer on the Personalization team responsible for delivering customer-focused technical solutions leveraging Machine Learning and cutting-edge technology. The team develops scalable frameworks and systems that transform customer signals into meaningful insights, enabling personalized, contextual recommendations across platforms, processing billions of content interactions and delivering real-time personalized experiences. | Ship | 5 |
| Sr. Software Development Engineer, Measurement, Ad Tech, and Data Science (MADS) Senior Software Development Engineer role focused on building AI-driven measurement and reporting solutions for Amazon Ads. The role involves designing and architecting scalable systems that leverage generative AI to process billions of events daily, optimize advertising performance, and provide customer insights. It requires leading technical strategy, collaborating with cross-functional teams, and mentoring engineers. | Ship | 5 |
| Software Development Engineer , Rufus Detail Page Software Development Engineer role on the Rufus team, which is a generative AI-powered shopping assistant within the Amazon Shopping app. The role focuses on designing and leading the development of customer-facing features for millions of users, involving end-to-end ownership and collaboration with product and design teams. | Ship | 5 |
| Sr Manager, Product Management- Technical, Amazon Customer Service Senior Manager, Product Management - Technical to lead digital channels for Customer Service team in defining strategies for discovery, engagement, and resolution paths that enable world-class automated CS experiences. This role will lead a team of product managers while partnering with cross-functional technical teams to build innovative solutions that enable customers to effortlessly resolve their issues globally within one cohesive interaction. | Ship | 5 |
| Senior Delivery Consultant - Data & AI, AWS Professional Services This role involves designing, implementing, and managing AWS Data & AI solutions for customers, acting as a trusted advisor on industry trends and emerging technologies. The focus is on customer-facing delivery of AI products and services within the AWS ecosystem, with a requirement for experience in developing and deploying AI/ML products at scale. | Ship | 5 |
| Sr. Solutions Architect, Media & Entertainment, Games and Sports (MEGS) Senior Solutions Architect for AWS MEGS vertical, focusing on helping media and entertainment customers adopt AI services and architectures to transform creative and operational workflows. The role involves designing and architecting solutions, building proofs-of-concept, and acting as a trusted technical advisor for GenAI adoption. | Ship | 5 |