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 |
|---|---|---|
| Sr. Manager Applied Science, MLA Lead a team of scientists to research and prototype Machine Learning applications, focusing on Agentic AI and LLM solutions for seller experience, trust, and safety. The role involves designing and implementing large-scale, end-to-end business solutions and influencing technical strategy. | Agent | 8 |
| Principal Applied Scientist, Alexa International Tech The Principal Applied Scientist role at Amazon's Alexa International team focuses on defining research directions, inventing and applying ML techniques, conducting experiments, publishing results, and translating research into practice for expanding Alexa's reach across countries, languages, devices, and cultures. The role requires a PhD in AI/ML/NLP with 10+ years of experience, a strong publication record, and expertise in building and deploying ML solutions at scale. | Post-train |
| 8 |
| Sr. Applied Scientist, Global Hiring Science This role focuses on applying machine learning and AI to reinvent the hiring process at Amazon, aiming for scale, sophistication, and accuracy in talent acquisition. The scientist will work on state-of-the-art research, advanced software tools, new AI systems, and ML algorithms, leveraging Amazon's tech stack to deliver innovative solutions for hiring. | Ship | 7 |
| Applied Scientist, SCOT Forecasting and Labs - CIV Team Applied Scientist role focused on developing and prototyping new statistical, causal, and machine learning techniques for inventory availability and delivery speed estimations in Amazon's retail supply chain. The role involves collaborating with software teams for production implementation and analyzing business metrics. | Post-train | 7 |
| Applied Scientist, Silicon and Systems Group Edge AI Research Scientist role focused on developing novel evaluation methods for multimodal language models and agents for consumer devices. This involves creating and validating automated evaluation techniques, analyzing datasets to understand model gaps, and collaborating with training teams. The role emphasizes hardware-software integration for efficient model training and deployment on edge devices. | Eval GatePost-train | 7 |
| Applied Scientist, Pricing Science Applied Scientist role focused on developing and launching customer-obsessed improvements to pricing algorithms for billions of Amazon products, leveraging large-scale multi-modal datasets and predictive modeling, causal evaluation, and optimization techniques. | Ship | 7 |
| Data Science I, SCOT Forecasting & Lab This role focuses on improving existing machine learning methodologies within Amazon's supply chain optimization team. The Data Scientist will analyze large datasets, develop and test model enhancements, fine-tune parameters, and formalize assumptions about model behavior. They will also contribute to the research community by publishing papers and collaborating with other scientists and academic researchers. The role requires strong analytical and communication skills to interface with business customers and stakeholders. | Post-train | 7 |
| Research Scientist, Safety-Critical Control, Robotics, SAF Lab Research Scientist focused on developing Control Barrier Function (CBF) theory and algorithms for safety-critical control in robotics. The role involves creating algorithms with formal safety guarantees, integrating them with learned control policies, and deploying them on next-generation robots. Key responsibilities include developing novel CBF algorithms, framing safety filtering within layered architectures involving learning-based components, designing multi-layer CBF filters, and formalizing the interplay between models and system dynamics. The role also requires implementing real-time optimization solvers, validating algorithms through simulation and hardware experiments, and contributing to theoretical foundations through publications. Collaboration with various teams and product leaders is essential for setting a science roadmap. | ShipServe | 7 |
| Applied Scientist, Amazon Redshift Research scientist to build deep learning models for predicting query resource consumption in Amazon Redshift, covering the full ML lifecycle from data analysis to production deployment and publication. | Post-trainServe | 7 |
| Applied Scientist I, Prime Video - Playback Intelligence Applied Scientist role at Amazon Prime Video focusing on enhancing customer playback quality of experience through machine learning and data science. Responsibilities include optimizing video streaming, anomaly detection, integrating new algorithms, and defining research directions. The role involves working with LLMs and generative AI, with a focus on translating research into practical applications and improving customer experience. | ShipPost-train | 7 |
| Applied Scientist, Prime Video - Content Localization, Understanding & Enrichment This role focuses on research and development of speech and audio generation technology, including end-to-end speech-to-speech architecture and audio processing solutions. The scientist will define research roadmaps, publish findings, and develop deep learning algorithms, with a focus on computer vision algorithms. The role involves building models for business applications and potentially mentoring/hiring other scientists. | Post-trainData | 7 |
| Applied Scientist II, Customer360 Research and develop new AI technologies for personalization using recommendations, information retrieval, and large language models. Build large-scale ML solutions for customer experiences. | Ship | 7 |
| Research Scientist, Operational Efficiency, AET Planning and Analytics Science Research Scientist role focused on building novel solutions for workforce optimization using operations research, causal inference, machine learning, and generative AI. The role involves designing simulation and optimization models for scheduling, hiring, and task assignment, developing causal inference frameworks, and collaborating with senior leaders to influence strategic decisions. The work directly impacts operational efficiency and employee experience at Amazon's global scale. | Agent | 7 |
| Applied SCI III - AMZ007408, AWS Science of Security This role focuses on the design, development, evaluation, and deployment of formal reasoning systems for security, privacy, and data protection in cloud environments. It involves applying formal verification and automated theorem proving, leading research in AI security, evaluating threats to Generative AI, and developing safeguards. The role also requires building and implementing scalable software solutions for AI systems, data privacy, security, or automated reasoning, with experience in compiler development, static program analysis, or formal/symbolic AI systems. | Eval GateAgent | 7 |
| Applied Scientist, Amazon Shopping Personalization Research Scientist role focused on developing and launching new AI technologies for Amazon's Personalization organization, specifically in recommendation systems and large language models, impacting millions of customers. | ShipAgent | 7 |
| Applied Scientist, Sales AI This role focuses on applying AI/ML, particularly Generative AI, to optimize the Ad Sales business by creating actionable insights and recommendations for account teams and improving their end-to-end workflows. The scientist will build and refine models using statistical methods, deep learning, and reinforcement learning, and leverage NLP and Generative AI for explainability. The role involves research, A/B testing, collaboration with engineering and product teams, and translating complex findings into business recommendations. | Agent | 7 |
| Applied Scientist, AWS Automated Reasoning This role focuses on automated reasoning within AWS, requiring a Ph.D. and experience in areas like SAT, SMT, and program analysis to solve complex problems and drive innovation in AWS services. | Agent | 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 |
| Applied Scientist, Customer360 Research scientist role focused on building the memory layer for Amazon's personalization engine, leveraging LLMs, information retrieval, and entity resolution to understand and personalize experiences for customers and their households. The role involves inventing, experimenting with, and launching new AI technologies and features. | AgentPost-train | 7 |
| Applied Scientist , Rufus Experience Science The Rufus Experience Science team at Amazon is looking for a Scientist to build next-generation conversational shopping experiences. This role involves developing data-driven solutions, delivering and maintaining software and models in production, and collaborating cross-functionally. The ideal candidate will have experience implementing algorithms and a publication record at top-tier conferences. | Ship | 7 |
| Senior Audio Applied Scientist, Edge Technology Senior Applied Scientist role focused on audio processing for Echo devices, involving research, development, and commercialization of spatial audio and music processing technologies. Requires expertise in signal processing and C/C++, with preferred experience in ML applications for audio. | Post-trainServe | 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 |
| 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 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 |
| Applied Scientist, Prime Video - Content Localization, Understanding & Enrichment Applied Scientist role at Amazon Prime Video focusing on content localization, understanding, and enrichment. The role involves applying NLP and computer vision research to video content, leading a team of applied scientists, and developing roadmaps for research. Requires experience building models for business applications and implementing deep learning algorithms, particularly in computer vision. | Post-train | 7 |
| Applied Scientist, Prime Video - Content Localization, Understanding & Enrichment Applied Scientist role at Amazon Prime Video focusing on content localization, understanding, and enrichment. The role involves applying NLP and computer vision research to video content, leading a team of applied scientists, and developing roadmaps for research. Requires experience building models for business applications and implementing deep learning algorithms, particularly in computer vision. | Post-train | 7 |
| Applied Scientist, Customer360 Research scientist role focused on building the memory layer for Amazon's personalization engine, leveraging LLMs, information retrieval, and entity resolution to understand and personalize experiences for customers and their households. The role involves inventing, experimenting with, and launching new AI technologies and features. | AgentPost-train | 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 |
| Principal Applied Scientist - AMZ9794093 Principal Applied Scientist role focused on designing, developing, evaluating, deploying, and updating data-driven models and analytical solutions for ML/NL applications. Involves applying statistical modeling, optimization, and ML techniques, running experiments in production, and researching novel approaches. Mentors junior scientists. | Ship | 7 |
| Sr Applied Scientist, Device Connectivity Sr. Applied Scientist on the Device Connectivity team, focusing on wireless solutions and leveraging AI/LLMs to enhance customer experience. The role involves designing AI roadmaps, identifying new research directions, and mentoring junior scientists. | Agent | 7 |
| Sr. Applied Scientist, Agentic Automated Reasoning Group Sr. Applied Scientist role focused on building next-generation software verification tools by combining AI, cloud computing, and formal verification expertise. The role involves end-to-end technical leadership, identifying and applying AI techniques (like generative AI) for tasks such as requirement formalization, test generation, and proof repair, alongside traditional verification methods. | Agent | 7 |
| Language Data Scientist, Alexa International This role focuses on analyzing and evaluating conversational interaction data to support the training and evaluation of LLMs and machine learning models for Alexa's speech interfaces. The Language Data Scientist will own data analysis, research requests, and contribute to developing annotation workflows and evaluation conventions. | Post-trainEval Gate | 7 |
| Applied Scientist, Neuron ARG, Annapurna ML Applied Scientist role focused on the intersection of AI and program analysis for a deep learning compiler stack, optimizing models for ML accelerators like Trainium. Responsibilities include designing, developing, and deploying analyzers, architecting tooling, and publishing research in compiler technology and deep learning systems software. | Serve | 7 |
| Research Scientist II, FinAuto-GREF Research Scientist role focused on applying Operations Research, forecasting, machine learning, and decision optimization to solve large-scale problems in Amazon's Global Real Estate and Facilities (GREF) organization. The role involves translating business problems into mathematical solutions, building scalable algorithms, and influencing operational decisions to optimize areas like employee routes, demand forecasting, capacity planning, resource allocation, cost reduction, and service reliability. | Ship | 7 |
| Research Scientist II, FinAuto-GREF Research Scientist role focused on applying Operations Research, forecasting, machine learning, and decision optimization to solve large-scale problems in Amazon's Global Real Estate and Facilities (GREF) organization. The role involves translating business problems into mathematical solutions, building scalable algorithms, and influencing operational decisions to optimize areas like employee routes, demand forecasting, capacity planning, resource allocation, cost reduction, and service reliability. | Ship | 7 |
| Applied Scientist, AWS Automated Reasoning Applied Scientist role focused on automated reasoning, privacy, and sovereignty within AWS. Requires a PhD and experience in areas like SAT, SMT, theorem proving, or program analysis. The role involves solving complex problems, designing and implementing solutions, and providing cross-organizational technical influence. | Agent | 7 |
| Applied Scientist, AWS Automated Reasoning Applied Scientist role focused on automated reasoning, privacy, and sovereignty within AWS. The role involves solving complex problems, designing and implementing solutions, and providing cross-organizational technical influence. Requires a PhD or Master's with significant applied research experience in areas like SAT, SMT, theorem proving, symbolic simulation, program analysis, or type systems. Experience with specific programming languages like O'Caml, Dafny, Haskell, Lean, or Rust is preferred. | Eval Gate | 7 |
| Applied Scientist, AWS Automated Reasoning The Applied Scientist role in AWS Automated Reasoning focuses on developing advanced solutions for automated reasoning, privacy, and sovereignty within AWS. This involves solving complex problems, designing and implementing solutions with long-term impact, and providing cross-organizational technical influence. The role requires deep knowledge in areas like SAT, SMT, mechanical theorem proving, symbolic simulation, and program analysis, with a Ph.D. and 4+ years of applied research experience. | Agent | 7 |
| Applied Scientist, AWS Automated Reasoning Applied Scientist role focused on automated reasoning, privacy, and sovereignty within AWS. Requires a Ph.D. and experience in areas like SAT, SMT, symbolic simulation, and program analysis. The role involves solving complex problems, designing and implementing solutions, and providing technical influence across organizations. | Agent | 7 |
| Applied Scientist, Sponsored Products & Brands Applied Scientist role at Amazon Ads focusing on generative AI for sponsored products and brands. The role involves developing and researching real-time ML algorithms for ad auctions and multi-objective optimization, aiming to improve customer experience and drive revenue. It requires end-to-end ML project ownership in a highly ambiguous and large-scale environment. | Ship | 7 |
| Economist II, GMAC Economics Economist II role focused on causal inference and machine learning for Prime Video Ads, involving experiment design, model building, and translating findings into business decisions. Requires a quantitative approach and end-to-end model implementation. | Post-train | 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 |
| Applied Scientist, Shopping Convo Foundations - Pre-purchases Science Research and develop novel ML approaches for catalogue expansion and product attribute challenges, translating scientific breakthroughs into production-ready solutions at Amazon scale. | Post-train | 7 |
| Applied Scientist, Shopping Convo Foundations - Pre-purchases Science Research and develop novel ML approaches for catalogue expansion and product attribute challenges, translating scientific breakthroughs into production-ready solutions at Amazon scale. | Post-train | 7 |
| Senior Applied Scientist, Shopping Convo Foundations - Pre-purchases Science Senior Applied Scientist role focused on research and development of novel ML models for Amazon's shopping catalogue expansion and product attribute challenges, aiming for high precision and production-ready solutions. | Post-train | 7 |
| Data Science - Forecasting & Lab, SCOT Forecasting & Lab This role focuses on improving existing machine learning methodologies within Amazon's supply chain optimization technologies. Responsibilities include analyzing large datasets, developing new data sources, enhancing and testing models, running computational experiments, and fine-tuning model parameters. The role also involves formalizing model assumptions, identifying outliers, and communicating findings to various stakeholders. Collaboration with internal and external researchers, including publishing papers, is expected. | Post-train | 7 |
| Applied Scientist, Prime Video - Personalization and Discovery Science Applied Scientist role at Amazon Prime Video focusing on personalization and discovery science. The role involves developing AI solutions for search systems using deep learning, GenAI, and reinforcement learning, with end-to-end ownership from design to launch. It requires designing and conducting experiments, and publishing research findings. The team owns science solutions for search experience, including sourcing, relevance, and ranking. | Ship | 7 |
| Principal Economist, Ads Econ This role focuses on developing and applying advanced econometric and machine learning models for Amazon's advertising products. The primary responsibilities include designing and analyzing large-scale experiments, developing novel causal inference methodologies for attribution and incrementality measurement, inventing optimization frameworks for bidding and targeting strategies, and defining the science roadmap for ads measurement and optimization. The role also involves building structural and reduced-form models to quantify advertising impact on consumer behavior and partnering with engineering teams to operationalize these models into production systems. The position requires a PhD in a quantitative field, extensive industry experience, and proficiency in big data and machine learning. | AgentData | 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 AI solutions for search systems using deep learning, GenAI, and reinforcement learning, with end-to-end ownership from design to launch. It includes conducting experiments, communicating findings, and publishing research. Requires a PhD or Master's with significant experience in ML model building and programming. | Ship | 7 |