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 II, Sponsored Products Applied Scientist II role focused on building and deploying generative AI technologies for Amazon's Sponsored Products and Brands advertising platform, with a focus on video content. The role involves developing new solutions, evaluating technologies, and mentoring other scientists, while working with LLMs and production environments. | ShipServe | 7 |
| Software Development Engineer - II, FinTech - Machine Learning Software Development Engineer II role in Amazon's FinTech group, focusing on building and deploying machine learning applications for transaction analysis, fraud detection, and financial process optimization. The role involves working with large datasets, collaborating with scientists and business teams, and applying ML techniques like forecasting, classification, and anomaly detection, including Generative AI and LLMs. |
| Ship |
| 7 |
| Applied Scientist, Stores Economics & Science (SEAS) Applied Scientist role focused on economics and science within Amazon's Stores organization, applying expertise in machine learning, NLP, IR, statistics, and economics to solve business problems related to cost-to-serve, selection optimization, and emerging machine learning. The role involves leading initiatives from research to production, developing and maintaining scientific models, and designing algorithms and mechanisms for supply chain and marketplace challenges. | Ship | 7 |
| Senior Applied Scientist, Japan Prime & Marketing Senior Applied Scientist role focused on building and deploying machine learning models for personalization, customer growth, and optimization within Amazon's Japan Prime & Marketing division. The role involves end-to-end ownership from problem formulation to production deployment, with a focus on impacting millions of customers and influencing business strategy. Requires experience in ML model development, A/B testing, causal inference, and collaboration with engineering teams for low-latency systems. | ShipAgent | 7 |
| Applied Scientist II, Conversational Ad Experiences The role focuses on applying generative AI and LLMs to create conversational ad experiences for Amazon. Responsibilities include defining science roadmaps, building and deploying models, running experiments, and collaborating with engineers and product managers. The goal is to enhance customer experience and advertiser reach through innovative AI solutions in the advertising domain. | ShipPost-train | 7 |
| Sr Manager, Applied Science, AWS Compliance & Security Assurance The Senior Manager, Applied Science, AWS Compliance & Security Assurance role focuses on leading a team that builds and operates automated reasoning technology for security and privacy assurance across Amazon and AWS. The role involves owning the technical vision and roadmap for static analysis capabilities, driving innovation in program analysis, and managing a team of applied scientists. Key responsibilities include technical leadership, hands-on contribution to research and design, team building, product integration with security and service teams, advancing the state of the art in static program analysis, and stakeholder engagement. | Ship | 7 |
| Manager, Data Science Manager for a Data Science team focused on building and deploying ML models for ASIN classification within Amazon's compliance programs. The role involves leading a team, defining roadmaps, owning end-to-end delivery, driving architecture, and ensuring production monitoring and scalability. Experience with LLMs, multi-modal learning, and production ML environments is required. | ShipServe | 7 |
| Software Development Manager, Prime Video Personalization and Discovery Software Development Manager for Prime Video Personalization and Discovery, leading a team of engineers to build and deliver AI-first personalization models and services at scale for customer recommendations on the PV Homepage. The role involves end-to-end ownership of product, user experience, design, and technology, with a focus on ML and experimentation to improve content surfacing. | Ship | 7 |
| Applied Scientist, EU International Technologies Applied Scientist role focused on improving Amazon's product search service by developing and deploying ML solutions for query understanding, ranking, and personalization. The role involves analyzing data, designing and building ML models, evaluating them through offline and online tests, and publishing research. It requires knowledge of ML fundamentals, transformer architectures, and training/inference lifecycles, with a focus on delivering customer-facing improvements in a production environment. | ShipServe | 7 |
| Applied Scientist II, Seller Fulfillment Services (SFS) Applied Scientist II role focused on building and improving machine learning models for Amazon's Seller Fulfillment Services (SFS) to enhance selection, delivery, and seller experience. The role involves research, design, implementation, testing, and deployment of science solutions, collaborating with cross-functional teams, and working with large datasets and scalable inference methods. | Ship | 7 |
| Senior Applied Scientist, Applied AI Solutions GTM Senior Applied Scientist role focused on building and deploying production AI solutions for enterprise customers within AWS. The role involves developing ML models and pipelines to drive business outcomes, quantify value, and enable field teams. It requires experience in deep learning, NLP, generative AI, and translating technical findings into business decisions, with a focus on scaling AI impact for customers. | ShipData | 7 |
| Applied Scientist II, US Prime and Marketing Tech The Discovery Tech team at Amazon is seeking an Applied Scientist II to build and optimize critical services for marketing and merchandising using machine learning models. The role focuses on developing data-driven, scalable ML solutions for product recommendation to enhance customer experience and enable intelligent marketing campaigns. | Ship | 7 |
| Machine Learning Scientist / Applied Scientist, EU Prime and Marketing Analytics & Science (PRIMAS) This role focuses on designing and executing experiments to measure the effectiveness of marketing campaigns at Amazon scale. The scientist will build measurement frameworks, apply causal inference methods, and establish experimental standards for lifecycle marketing, ultimately guiding marketing strategy and investment decisions. The role is within the consumer domain and involves scaling existing AI/ML applications. | Ship | 7 |
| Software Development Engineer II, Digital Pricing and Competitive Intelligence (D-PRICIQ ), Digital Acceleration Software Development Engineer II role focused on building and designing next-generation AI-powered pricing systems for Amazon's digital products. The role involves processing millions of prices daily using advanced AI models, including LLMs and GenAI, and leveraging AWS infrastructure for distributed systems at scale. | Ship | 7 |
| Software Development Manager, Amazon Rufus This role is for a Software Development Manager at Amazon, focused on building a new generative AI-powered shopping and search experience. The goal is to create intuitive, conversational interfaces that synthesize complex information and provide trustworthy recommendations, aiming to make AI shopping a major business pillar for Amazon. The role involves leading engineers, scientists, and product leaders to innovate and deliver AI products at scale. | Ship | 7 |
| Applied Scientist, Advertising The role focuses on designing and implementing deep learning models for ad matching in Amazon's programmatic advertising products. It involves optimizing ad selection based on customer behavior and contextual information to predict conversion propensity, ultimately driving better campaign outcomes for multi-billion dollar businesses. The work impacts high-throughput production systems and requires collaboration with engineers and product teams. | Ship | 7 |
| Principal Technical Program Manager, WHS Data-Tech Principal Technical Program Manager for Amazon's Workplace Health & Safety Data-Tech team, focusing on AI and computer vision systems to prevent workplace safety incidents. The role involves owning program strategy, roadmap, and delivery, partnering with scientists and engineers to move research to production, and managing complex technical challenges across multiple teams. Requires deep fluency in AI/ML systems and experience in program management, software development, and cross-functional collaboration. | ShipServe | 7 |
| Software Development Engineer, FinTech - Machine Learning Software Development Engineer role focused on building machine learning applications for FinTech, specifically for transaction analysis, anomaly detection, and fraud prevention within Amazon's finance operations. The role involves developing ML pipelines, utilizing Generative AI and LLMs, and collaborating with scientists and business teams to drive efficiencies and insights at scale. | Ship | 7 |
| Applied Scientist I, Amazon Shipping This role focuses on building and scaling large-scale forecasting and optimization systems for Amazon's global transportation network, impacting customer experience and cost. The scientist will guide model and system design using various ML techniques including deep learning and LLMs, ensure production readiness, and partner with stakeholders to drive decision-making and business metrics. | Ship | 7 |
| Applied Scientist II, Vertical Search Relevance This role focuses on building and deploying machine learning models for Amazon's Product Search, specifically developing new ranking features and techniques. The scientist will be responsible for the full development cycle, from design and implementation to A/B testing and production deployment, aiming to improve search relevance and customer experience at scale. | Ship | 7 |
| Sr. Applied Scientist, Private Brands Intelligence - SCIT Science Sr. Applied Scientist role focused on building and deploying scalable ML models and optimization solutions for Amazon's Private Brands retail business. The role involves translating business requirements into concrete deliverables, working with large-scale datasets, and applying expertise in ML, Optimization, Statistics, Causal Inference, and Reinforcement Learning to drive business decisions and improve operations. Experience with distributed systems and Operations Research is highly valued. | Ship | 7 |
| Software Development Engineer - Maching Learning, Prime Video Personalization and Discovery Growth Software Development Engineer for Prime Video Personalization & Discovery Growth team, focusing on building and operating scalable measurement, attribution, and audience optimization systems that leverage AI/ML to connect customers with content and drive subscriber growth. The role involves designing and building services, data pipelines, integrating ML models, and impacting decisions for over 200M customers. | ShipData | 7 |
| Applied Scientist , Prime Video Personalization and Discovery Applied Scientist role at Amazon Prime Video focused on developing and launching end-to-end AI solutions for search and personalization systems, utilizing deep learning, GenAI, and reinforcement learning. The role involves designing and conducting experiments, collaborating with engineers and product managers, and publishing research findings. | Ship | 7 |
| Applied Scientist, Amazon Robotics - Vulcan This role focuses on designing, implementing, and deploying motion planning, control, and manipulation algorithms for robotic systems in Amazon fulfillment centers. It involves both engineered and learned approaches, with a strong emphasis on sim-to-real deployment and validation on production systems at scale. The role contributes to learned manipulation behaviors and controllers, requiring production-quality code and scalable, real-time implementations. | ShipAgent | 7 |
| Applied Scientist, Ads Measurement Science Applied Scientist role at Amazon Ads focusing on measurement science, developing solutions for performance measurement products, sales impact analysis, and AI tools for customer insights and workflow automation. The role involves end-to-end ownership of measurement solutions, from design to production, leveraging Generative AI, classical ML, Causal Inference, NLP, and Computer Vision. | Ship | 7 |
| Senior Applied Scientist, Ad Measurements Science Senior Applied Scientist role focused on developing and productionizing AI/ML models for ad measurement and performance analysis within Amazon Ads. The role involves end-to-end solution development, leveraging Generative AI, classical ML, NLP, and Computer Vision to provide insights and automate workflows for advertisers. Responsibilities include model development, experimentation, collaboration with engineering and business teams, and mentoring junior scientists. | Ship | 7 |
| 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 |
| 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 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 |
| 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 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 |
| 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 - 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 |
| 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 |
| 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 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 |
| 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 |