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 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 |
| Senior Delivery Consultant - AI/ML, ASEAN Professional Services Senior Delivery Consultant for AWS Professional Services focusing on AI/ML solutions for customers in the ASEAN region. The role involves advising customers on ML possibilities, designing and implementing scalable ML solutions on AWS, leading customer engagements from pre-sales to delivery, and conducting workshops to identify business value through machine learning. | 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 |
| Senior Applied Scientist, Insights, Prime Video Senior Applied Scientist role focused on developing machine learning algorithms for high-scale recommendations problems within Prime Video. The role involves designing, prototyping, and integrating ML models into production systems, with a focus on generative AI and large models to reduce operational load and deliver personalized recommendations. | 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, Measurement, Ad Tech, and Data Science (MADS) Senior Applied Scientist role focused on developing and productionizing media planning models and solutions for Amazon Ads. The role involves leveraging various ML techniques, including deep learning, generative AI, causal inference, NLP, and computer vision, to provide measurement insights and optimize advertising outcomes. It requires collaboration with engineering, product management, and business teams, and includes mentoring junior scientists and engaging with the scientific community. | 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 |
| Sr. Applied Scientist, Seller Fee Science This role focuses on applying ML and AI to solve business problems within Amazon's third-party marketplace, specifically concerning seller fees. The scientist will develop and deploy models for fee accuracy, policy automation, and seller explanations, working closely with engineering and product teams to productionize solutions. The role emphasizes rigorous experimentation, causal inference, and contributing to the scientific culture. | Ship | 7 |
| Machine Learning Engineer, WWPS ProServe Delivery Team Machine Learning Engineer role focused on designing, implementing, and scaling Generative AI solutions for enterprise customers on AWS. The role involves working directly with customers to understand their needs, select and fine-tune models, develop proof-of-concepts, and provide technical guidance throughout the project lifecycle. It emphasizes customer success and driving AI transformation. | ShipPost-train | 7 |
| Applied Scientist, Amazon Private Brands Applied Scientist role focused on designing and building innovative machine learning solutions for Amazon Private Brands discovery, driving customer awareness and product discovery. The role involves end-to-end project ownership, from ideation to launch, utilizing methods like NLP, deep learning, reinforcement learning, and causal inference. The scientist will propose new algorithms, overcome technical limitations, and present findings to leadership. | Ship | 7 |
| Fall 2026 Applied Science Internship - Canada, PhD Student Science Recruiting PhD student internship focused on applying machine learning, NLP, computer vision, automated reasoning, or robotics to solve complex business problems and deploy solutions into production at Amazon. | Ship | 7 |
| Sr. Applied Scientist , Amazon This role focuses on building and deploying machine learning models to improve customer experience through personalized recommendations on Amazon's retail website. The scientist will leverage large-scale data and computing resources to understand customer behavior, develop state-of-the-art recommendation models, and measure their impact on the business. | Ship | 7 |
| Senior Applied Scientist, International Machine Learning This role focuses on building and deploying advanced machine learning models for Amazon's consumer businesses in India and other emerging markets. The scientist will analyze large datasets, develop and evaluate scalable ML solutions, and work closely with engineering teams to implement these models in production. The role involves end-to-end ownership of business problems and directly impacting profitability. | ShipServe | 7 |
| Sr. Applied Scientist, Prime Video - Personalization and Discovery Science Senior Applied Scientist role at Amazon Prime Video focused on developing and launching AI solutions for personalization and discovery, including search systems. The role involves end-to-end ownership of machine learning models, from design and implementation to experimentation and evaluation, with a focus on benefiting millions of customers. The position also requires staying updated with the latest modeling techniques and publishing research findings. | Ship | 7 |
| Applied Scientist II, Prime Video Personalization and Discovery Science Applied Scientist II at Amazon Prime Video focused on developing ML models for recommendation and search systems using deep learning, online learning, and optimization methods. The role involves end-to-end ownership of product and user experience, working with advanced approaches like foundation models to tackle cold-start problems and discover niche interests. The scientist will also publish research findings and collaborate with engineering and product teams. | Ship | 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 |
| 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 inventing, designing, and implementing state-of-the-art solutions. 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. | Ship | 7 |
| Senior Applied Scientist, Sponsored Products and Brands Senior Applied Scientist role focused on developing and launching AI solutions for Amazon's Sponsored Products and Brands advertising business. This involves building recommendation systems leveraging generative models, designing and implementing end-to-end AI solutions, and defining a long-term science vision. The role requires experience in building ML models, deep learning, and working with large-scale distributed systems. | ShipAgent | 7 |
| Applied Scientist, Sponsored Products The Sponsored Products and Brands team at Amazon Ads is seeking an Applied Scientist to leverage generative AI and machine learning to revolutionize advertising experiences. This role involves driving end-to-end ML projects, analyzing large datasets, building and deploying models into production, and establishing scalable processes for ML development and serving. The focus is on creating innovative ad tech and shopping experiences off the store, working with external and internal partners to connect systems, understand customers, and drive results at scale, with a GenAI-first approach. | ShipServe | 7 |
| Applied Scientist, Prime Video Applied Scientist role at Amazon Prime Video focusing on leveraging NLP and Computer Vision research to enhance video content understanding and customer experience. The role involves leading research direction, creating roadmaps, and developing models for business applications, with an emphasis on delivering state-of-the-art digital video experiences. | Ship | 7 |
| Principal Product Manager - Technical, Alexa Connections Principal Product Manager, Technical for Alexa Connections, focusing on building AI-native communication experiences using generative AI, LLMs, real-time communications, voice, and GUIs. The role involves strategizing, driving product roadmaps, and launching 0-1 product lines, working cross-functionally with engineering, science, and design teams to deliver delightful customer experiences. | ShipAgent | 7 |
| Applied Scientist, Customer360 Research scientist role focused on developing and launching new AI technologies for personalization in e-commerce, leveraging LLMs, recommendation systems, and information retrieval. | Ship | 7 |
| Applied Scientist, Amazon Transportation Applied Scientist role focused on building machine learning and optimization models for Amazon's large-scale transportation planning systems, including dynamic pricing and network planning. The role involves designing, building, and implementing scalable products and algorithms within production systems, with a focus on external freight and marketplace operations. | Ship | 7 |
| Software Dev Engineer, Alexa Connections Software Development Engineer role at Amazon Alexa Connections, focusing on integrating generative AI and machine learning into communication features to enhance customer experiences. The role involves designing and building scalable, fault-tolerant systems for AI/ML workloads, including Gen AI inference and training pipelines, within an agile environment. | ShipServe | 7 |
| Applied Scientist, Amazon Kids Personalization Applied Scientist role focused on designing and deploying state-of-the-art recommendation models for Amazon Kids+. The role involves research into customer behavior, model development, and production deployment, with a focus on personalization for children's content across various devices. It emphasizes building and shipping AI-powered products to millions of customers. | Ship | 7 |
| Applied Scientist Manager, Worldwide Returns & ReCommerce Manager for an Applied Scientist team focused on optimizing the returns and re-commerce process using ML, NLP, and Information Retrieval. The role involves managing scientists and engineers, developing ML models for business applications, and building scalable software systems. | Ship | 7 |
| Applied Scientist, Intelligent Talent Acquisition - Lead Generation & Detection Services The role involves designing and implementing machine learning models for recommendation systems to improve Amazon's talent acquisition processes. It focuses on building ML products that match job seekers with opportunities and recruiters with talent, operating at a global scale. The work involves representation learning, reinforcement learning, and probabilistic modeling, with an emphasis on fairness and explainability. | ShipAgent | 7 |
| Security Consultant - GenAI, AWS GenAI Innovation and Delivery This role focuses on delivering secure Generative AI solutions to enterprise customers, acting as both a security leader and hands-on practitioner. It involves conducting security assessments, architecting and implementing security controls for GenAI applications, and building reusable security patterns and accelerators. The role also involves developing innovative GenAI-powered security solutions and contributing to thought leadership. | ShipAgent | 7 |
| Senior Applied Scientist, AWS Marketplace Discovery Senior Applied Scientist role focused on developing AI-powered Discovery systems for AWS Marketplace, specializing in personalization, search, and recommendation systems. The role involves leading research, design, and development, translating scientific techniques into scalable solutions, and mentoring other scientists. It aims to accelerate cloud migrations and support partner growth. | ShipAgent | 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 Scientist II, Search Relevance International Amazon Search team is looking for an Applied Scientist II to build machine learning models for Product Search, develop new ranking features, and implement production-level code for search systems. The role involves owning the full development cycle from design to deployment and A/B testing, with a focus on customer experience and scalability. | Ship | 7 |
| Applied Scientist II, Seller Fee Science This role focuses on applying machine learning and AI to predict and reconcile product measurements for Amazon's third-party marketplace, impacting fee strategy and seller experience. The scientist will design, develop, and deploy AI/ML models, working closely with engineering and product teams to productionize solutions and validate their business impact through rigorous experimentation. | Ship | 7 |
| Data Scientist, MAPLE - Recommender System This role focuses on developing and deploying data-driven models for personalized shopping experiences using state-of-the-art recommendation systems and GenAI techniques. The scientist will design, develop, evaluate, and update models, create new signals, use supervised and uplift learning, design A/B tests, and work with large-scale distributed machine learning. The role also involves presenting and publishing research, mentoring junior scientists, and collaborating with business and engineering teams. Experience with causal machine learning and evaluating AI systems is required. | Ship | 7 |
| Applied Scientist, MAPLE - Recommender System Applied Scientist role focused on developing and deploying personalized recommendation systems using state-of-the-art modeling and GenAI techniques for Amazon's consumer shopping experience. The role involves building data-driven models, developing new signals, using supervised and uplift learning, contributing to production code and tooling, designing A/B tests, and publishing research. | Ship | 7 |
| Senior Data Scientist, MAPLE - Recommender System Develops and deploys data-driven models for shopping personalization and recommendation systems, leveraging GenAI techniques and causal machine learning. Focuses on improving customer experience through supervised and uplift learning, A/B testing, and harnessing large-scale data. The role involves publishing research and mentoring junior scientists. | Ship | 7 |
| Data Scientist, MAPLE - Recommender System This role focuses on developing and deploying personalized recommendation systems for Amazon customers, integrating GenAI techniques, and conducting research. The primary deliverable is a customer-facing AI product. | Ship | 7 |
| Applied Scientist, Amazon Robotics R&D Applied Scientist role focused on researching, designing, and implementing computer vision and decision-making algorithms for robotic systems, with a strong emphasis on integrating machine learning and delivering customer-facing results. The role involves creating experiments, prototyping new algorithms, and collaborating with engineering teams for scalable, real-time implementations, ultimately shipping AI-powered robotic products. | ShipData | 7 |
| Applied Scientist, Core Search This role focuses on building and improving ML-powered search ranking models at Amazon's scale, leveraging large datasets and exploring techniques like reinforcement learning to enhance customer experience. The primary deliverable is the shipped AI product (search ranking system). | Ship | 7 |
