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, Perception Applied Scientist II in Robot Perception at Amazon, focusing on developing and deploying advanced perception algorithms for robotic systems. This role involves research in computer vision, sensor fusion, and 3D perception, with a strong emphasis on bridging research with real-world impact and end-to-end ML model ownership. The position requires a PhD, experience in building ML models for business applications, and a publication record in top-tier venues. The role contributes to the development of next-generation robotic systems that integrate AI, control systems, and mechanical design for automation. | ShipServe | 9 |
| Applied Scientist, Safe RL, Robotics, SAF Lab This role focuses on developing and deploying safe reinforcement learning (RL) policies for dynamic legged locomotion on physical robots. It involves creating RL architectures that interface with physics models, internalize safety constraints during training, and transfer policies from simulation to real-world hardware. The work sits at the intersection of safety-critical control and learning, aiming to enable robots to operate safely around humans. |
| ShipData |
| 9 |
| Applied Scientist, EU INTech Consumer Selection Discovery, NintAI Applied Scientist role focused on building and deploying AI/ML models for Amazon's global search and discovery experiences, with an emphasis on computer vision, generative AI, recommendation systems, and ranking. The role involves end-to-end ownership from problem analysis to production deployment, aiming to improve customer navigation and product discovery. | Ship | 9 |
| Applied Scientist II, Perception Applied Scientist II, Perception at Amazon, focusing on developing and deploying state-of-the-art perception algorithms for robotic systems. This role involves research in computer vision, sensor fusion, and 3D perception, with a strong emphasis on integrating deep learning, LLMs, and robotics to create intelligent automation solutions. The scientist will own ML models end-to-end, from data to deployment, and contribute to publications in top-tier venues. | ShipAgent | 9 |
| Member Of Technical Staff - Hardware Science, Frontier AI & Robotics (FAR) This role focuses on building and deploying intelligent robotic systems by developing foundation models for perception and manipulation, integrating them with hardware, and driving research from conceptualization to production at Amazon scale. It involves deep learning for physical systems, control algorithms, and collaboration with hardware engineering teams. | ShipPost-train | 9 |
| Senior Applied Scientist, Fauna Senior Applied Scientist role focused on developing and optimizing advanced AI/ML algorithms, particularly reinforcement and imitation learning, for robotic motor control systems. The role involves integrating these systems with hardware, using simulation and real-world testing, and leading projects from conception to production deployment, with a strong emphasis on sim-to-real transfer and robotics applications. | ShipAgent | 9 |
| Sr Applied Scientist Sr. Applied Scientist at Amazon Ring focused on computer vision and machine learning to improve customer experience and neighborhood safety. The role involves developing and deploying data-driven models, researching state-of-the-art algorithms, and collaborating with product and engineering teams. Requires experience with Multi-modal LLMs/Vision Language Models and experience in building ML models for business applications. | ShipPost-train | 8 |
| Applied Scientist II, Demand Science Applied Scientist II role focused on developing and deploying state-of-the-art ML/AI solutions for demand forecasting and supply optimization for Amazon Devices. The role involves full lifecycle ownership from research to production, including building forecasting models, exploring data, developing new approaches with AI-native experimentation and agent-driven automation, and partnering with engineering for deployment. Experience with transformer architectures, LLM-powered agents, and deep learning is required. | ShipAgent | 8 |
| Applied Scientist, AWS Applied AI Solutions Core Services This role focuses on developing and productizing AI solutions for enterprise customers within AWS Applied AI Solutions. The scientist will design and implement machine learning systems for diverse applications like video understanding, geospatial optimization, fraud detection, and anomaly detection, creating scalable algorithms and models. They will conduct experiments with LLMs, computer vision, and agentic AI systems, collaborate with engineering teams to integrate science components into production, and establish evaluation frameworks for performance measurement. The role involves working with product teams to frame problems and validate approaches, with opportunities for publication. | ShipAgent | 8 |
| Applied Scientist, International Machine Learning The Applied Scientist will use machine learning and statistical techniques to create state-of-the-art solutions for Amazon's customers, focusing on building and deploying advanced ML systems to optimize transactions and analyze large datasets. The role involves end-to-end ownership of business problems, developing ML solutions for India Consumer Businesses, and working closely with engineering and business partners to implement and maintain models in production. | Ship | 8 |
| Sr. Software Development Engineer - AI, Prime Video - Personalization and Discovery Science Senior Software Development Engineer focused on AI for Prime Video's personalization and discovery systems. The role involves developing AI solutions using deep learning, GenAI, and reinforcement learning, leading end-to-end delivery, conducting experiments, and collaborating with cross-functional teams. The position also emphasizes mentoring junior engineers and publishing research findings. | Ship | 8 |
| Senior Applied Scientist, Perimeter Protection Applied Science Senior Applied Scientist role at AWS Perimeter Protection team, focusing on designing, building, and scaling AI-driven security solutions for AWS customers. The role involves the full ML lifecycle, from research to production deployment, with a focus on high-impact security challenges like WAF, DDoS, Bot Management, and Infrastructure Protection. It requires experience with production ML systems at scale, low-latency inference, and protecting services handling trillions of requests weekly. | ShipServe | 8 |
| Applied Science Manager, Healthcare AI Applied Science Manager for Healthcare AI at AWS, leading teams to build innovative AI-powered healthcare solutions using generative and agentic AI. Focuses on transforming clinical and administrative workflows, improving patient care, and enhancing operational efficiency. The role involves technical leadership, people management, and driving innovation in areas like medical administration reasoning, AI agent design, and medical coding, with a goal of translating research into production for customer-facing products. | ShipAgent | 8 |
| Senior Applied Scientist, Sponsored Products and Brands Senior Applied Scientist role at Amazon Ads, focusing on developing and applying generative AI and LLM technologies to enhance sponsored products and brands advertising. The role involves inventing new advertiser and shopper experiences, building monetization and optimization systems, defining long-term science vision, and bringing state-of-the-art GenAI models to production. Requires strong ML, LLM, and GenAI expertise, with experience in model fine-tuning, prompt engineering, and digital advertising technology. The position also involves leading scientific rigor, mentoring talent, and communicating with leadership. | ShipPost-train | 8 |
| Applied Science Manager, Safe Autonomy, SAF Lab Manager for a team developing a universal safety layer for robotic systems, focusing on safe autonomy for dynamic robots. The role involves leading research, strategy, and ensuring innovations translate into production systems at Amazon scale, integrating control barrier functions with planning, perception, and learning. The team publishes research and collaborates with academic and industry partners. | ShipAgent | 8 |
| Senior Applied Scientist, AWS Security Senior Applied Scientist role focused on building and deploying AI/ML systems for cybersecurity threat detection and mitigation within AWS. The role involves analyzing threat data at scale, developing prototypes, and leading technical innovation to protect AWS customers. | ShipServe | 8 |
| Senior Applied Scientist, Industrial Robotics Group Senior Applied Scientist role focused on developing AI and ML systems for industrial robotics and manufacturing. The role involves creating real-time decision systems, inventing new algorithms, and delivering complex solutions into production, with a strong emphasis on optimization and ML techniques applied to manufacturing flow and throughput. | ShipAgent | 8 |
| Sr Manager, Applied Science, Creative Intelligence This role leads a science organization focused on Dynamic Creative Optimization (DCO) and Creative Brain (CB) for Amazon Ads. The core responsibility is to own and drive the models, algorithms, and research that personalize ad creative in real-time to improve advertiser performance, focusing on conversion and long-term value. The role involves managing a team of applied scientists and data scientists to build a closed-loop system that continuously learns from each impression to improve creative decisions. Key objectives include compressing learning loops, expanding optimization coverage, solving cold-start problems, building persistent memory layers, developing causal inference for creative components, creating cross-advertiser priors, designing representation architectures for creative quality reasoning, and owning quality science (defect detection, compliance, aesthetics). The role also involves defining science strategy, leading competitive analysis, ensuring rapid translation of research to production, and managing a team of 8+ scientists. | ShipServe | 8 |
| Applied Scientist, EU INTech Consumer Selection Discovery, NintAI Applied Scientist role focused on building and deploying AI/ML models for Amazon's global search and discovery experiences, aiming to improve customer navigation and product discovery. The role involves end-to-end ownership from problem analysis and science plan design to production deployment, with a focus on ranking, computer vision, and generative AI. | Ship | 8 |
| Applied Scientist Applied Scientist role at Audible focusing on developing and productionizing ML/AI models for various applications including NLP, RL, and Generative AI. The role involves inventing scientific approaches, building scalable solutions, and collaborating with engineering and product teams to deliver customer-facing features and foundational capabilities. | Ship | 8 |
| Applied Scientist, WHS Data-Tech Develop and deploy computer vision and machine learning models for workplace safety applications, impacting millions globally. Collaborate with engineers to productionize models and analyze data for safety risk identification. Focus on shipping models with measurable safety outcomes. | ShipServe | 8 |
| Applied Scientist, Amazon Robotics, Compass Team Applied Scientist role focused on developing and deploying AI-driven manipulation algorithms for robots in unstructured environments, with a strong emphasis on safety, contact-rich tasks, and sim-to-real transfer. The role involves designing learning-based and model-based approaches, integrating with safety software, and deploying on physical hardware. | ShipData | 8 |
| Applied Science Manager, Personalization Lead a team of scientists building next-generation LLM-based personalization systems for e-commerce, focusing on research and production deployment at Amazon scale. | ShipPost-train | 8 |
| Principal Applied Scientist, Personalization Principal Applied Scientist role focused on building an AI-native shopping partner that understands customer intent and needs. The role involves defining science strategy, pioneering LLM-based reasoning systems, designing transformer architectures for preference modeling, and inventing real-time ranking systems at massive scale. The work directly impacts hundreds of millions of customers. | ShipAgent | 8 |
| Sr. Manager, Applied Science, Prime Video Personalization & Discovery Sr. Manager, Applied Science for Prime Video Personalization & Discovery, focusing on optimizing customer experience through AI/ML and Generative AI solutions for recommendations, search, and marketing. This role involves managing science and engineering teams, setting technical strategy, and driving product definition and execution for large-scale AI systems. | ShipAgent | 8 |
| Senior Applied Scientist, Amazon Robotics - Vulcan Senior Applied Scientist role focused on developing and deploying learned controllers and manipulation behaviors for robotic systems in Amazon fulfillment centers, utilizing reinforcement learning and behavior cloning. The role involves research, design, implementation, and production deployment of ML models, with a strong emphasis on sim-to-real transfer and leveraging operational data for continuous improvement. The scientist will also mentor junior team members and contribute to publications. | ShipData | 8 |
| Senior Applied Scientist , Buyer Risk Prevention (BRP) Senior Applied Scientist role focused on building and deploying large-scale machine learning systems for fraud and risk prevention in an e-commerce environment. The role involves leading scientific strategy, designing and developing ML solutions, and leveraging GenAI/LLMs for next-generation platforms. Emphasis on real-time production, scalability, and innovation. | Ship | 8 |
| Data Scientist, PPE Product Intelligence Data Scientist to build and scale a self-learning scientific price estimation and product understanding system, generating customer-relevant prices on billions of products. Role involves designing and running experiments, developing production-grade models, and translating research findings for stakeholders. | ShipPost-train | 8 |
| Sr. Delivery Consultant - AI/ML, AWS Professional Services Senior Delivery Consultant for AWS Professional Services focusing on designing, implementing, and managing GenAI and ML solutions for customers. Requires strong experience in building, training, fine-tuning, evaluating, and deploying ML models, with a focus on AWS AI/ML services and generative AI applications. Experience with AI agents and orchestration is preferred. | ShipServe | 8 |
| Applied Scientist, Alexa AI Applied Scientist role focused on advancing and deploying ML/RAG systems for Alexa, involving full ML lifecycle from data analysis and model building to deployment and A/B testing, with opportunities for publication and scaling innovations. | ShipPost-train | 8 |
| Applied Scientist, Alexa AI Applied Scientist role focused on advancing and deploying ML/RAG systems for Alexa, involving full ML lifecycle from data analysis and model building to deployment and A/B testing, with opportunities for publication and scaling innovations. | ShipPost-train | 8 |
| Applied Scientist - ML and Robotics Applied Scientist at Amazon Robotics focused on developing ML-based manipulation controllers for robotic systems. The role involves integrating learning with control, estimation, and planning, leveraging simulation and real-world data to create robust policies for grasping, insertion, and object handling. The scientist will collaborate with cross-functional teams to transition research prototypes into production systems for large-scale deployment in fulfillment centers. | ShipData | 8 |
| Senior Applied Scientist (Computer Vision), Camera and Sensors Senior Applied Scientist focused on computer vision and multimodal perception models for Amazon devices, involving algorithm development, experimentation, and implementation with large-scale data and computing resources. | Ship | 8 |
| Senior Applied Scientist, Sponsored Products and Brands Senior Applied Scientist role focused on architecting and pioneering applied science in multi-modal Generative AI for Amazon's Sponsored Products and Brands advertising platform. The role involves end-to-end innovation from research to production deployment at Amazon scale, with a focus on non-US marketplaces and leveraging technologies like LLMs and semantic hash designs. The candidate should have experience building ML models, deep technical expertise, and a proven track record of delivering value with state-of-the-art technologies in production environments. | ShipAgent | 8 |
| Applied Science Manager, AWS Generative AI Innovation Center Manager for an AWS Generative AI Innovation Center focused on building and deploying generative AI solutions for customers, managing a team of scientists and engineers, and driving adoption of AI technologies. | ShipPost-train | 8 |
| Senior Manager, Applied Science, Prime Video Advertising Senior Manager, Applied Science at Amazon Prime Video Advertising, leading a team to build and scale ML/AI solutions for advertising optimization, experimentation, and generative AI-powered ad creative generation. The role involves setting scientific vision, managing managers, and driving strategic initiatives in a rapidly growing business. | Ship | 8 |
| Senior Applied Scientist, Alexa Ads Senior Applied Scientist role focused on building Generative AI models for conversational ads and personalization within the Alexa ecosystem. The role involves designing, developing, and evaluating deep learning and GenAI models, conducting data analysis, building ML pipelines, running A/B experiments, and collaborating with engineers for production deployment. The team is greenfield, aiming for direct business impact and encouraging both production deployment and top-tier publications. | ShipAgent | 8 |
| Generative AI Solutions Architect, AWS Global Government Specialist SA This role focuses on designing and implementing generative AI solutions for government customers using AWS services. The Solutions Architect will act as a Subject Matter Expert, guiding customers and internal teams on leveraging AI for automation and cost reduction. The role requires deep technical experience in AI/ML and integrating these services into production applications. | Ship | 8 |
| Generative AI Solutions Architect, AWS Global Government Specialist SA This role focuses on designing and implementing generative AI solutions for government customers using AWS services. The Solutions Architect will act as a Subject Matter Expert, guiding customers and internal teams on leveraging AI for automation and cost reduction. The role requires deep technical experience in AI/ML and integrating these services into production applications. | Ship | 8 |
| Applied Scientist, EU INTech Consumer Selection Discovery, EU InTech Consumer Selection Discovery Amazon is seeking Applied Scientists to build software and machine learning models for customer discovery experiences, focusing on ranking, recommendations, and computer vision. The role involves developing and deploying state-of-the-art models, including text-to-image and image-to-text, to enhance customer engagement with the Amazon catalog. | Ship | 8 |
| Principal Applied Scientist, Sponsored Products and Brands The Principal Applied Scientist will lead the development and deployment of generative AI technologies for Amazon Ads, specifically within the Sponsored Products and Brands team. This role involves reinventing advertising experiences by integrating AI into the ad lifecycle, from creation to performance analysis. The scientist will invent new product experiences, bring state-of-the-art GenAI models to production, and define the long-term science vision for the advertising business, collaborating closely with science, product, and engineering teams to deliver high-impact products. | Ship | 8 |
| Principal Applied Scientist, Amazon Payments Principal Applied Scientist for Amazon Payments AI/ML Team, focusing on AI services for payments, recommendation, prediction, and GenAI for SOP automation. The role involves setting AI direction, mentoring scientists, partnering with engineering to deliver ML/GenAI features, identifying research directions, creating roadmaps, and bringing research to production. Requires a PhD or MSc with 10+ years of experience, a track record of thought leadership, and strong collaboration skills. | Ship | 8 |
| Director of Science, Geospatial Director of Science, Geospatial at Amazon, leading a team of ~50 scientists focused on AI/ML solutions for last-mile delivery operations. The role involves developing and deploying solutions for geospatial problems, including address validation, place datasets, road networks, and leveraging edge data. Key focus areas include GenAI (LLMs, VLMs, agents), computer vision, and traditional ML to optimize delivery routes, improve data fidelity, and drive business impact. The role requires interfacing with senior stakeholders, strategic planning, and building a high-performing team. | ShipAgent | 8 |
| Sr. Applied Scientist, Prime Video - Personalization and Discovery Science Sr. Applied Scientist at Amazon Prime Video focused on developing and launching AI solutions for personalization and discovery systems, impacting millions of customers. | Ship | 8 |
| Sr. Applied Scientist – AI Velocity Team, Applied AI Acceleration Solutions Architecture Senior Applied Scientist role focused on developing and deploying AI/ML models and analytics for customer-facing AI solutions within Amazon Connect. The role involves working directly with customers to accelerate production deployments, designing and building AI solutions, conducting experiments, quantifying business value, and applying NLP/generative AI techniques. It spans conversational analytics and agentic AI capabilities, with a strong emphasis on driving measurable business impact and operational excellence in customer environments. | ShipAgent | 8 |
| Principal Applied Scientist, Robotics This role focuses on developing advanced robotics systems that integrate AI, control systems, and mechanical design for automation. The scientist will define the scientific roadmap for whole body control and dexterous manipulation, applying deep learning and LLMs to solve complex operational challenges in dynamic environments. The role involves research and practical implementation of AI in physical robotic hardware, with a focus on shipping these systems. | ShipAgent | 8 |
| Applied Scientist, Amazon Prime, Prime AI/ML Science Applied Scientist role focused on building and deploying AI/ML models for customer behavior prediction and personalization within Amazon Prime. The role involves working with large-scale data, leveraging GenAI, LLMs, deep learning, and reinforcement learning, and contributing to production AI/ML systems. Emphasis on scientific research, publication, and utilizing AWS technologies. | ShipAgent | 8 |
| Applied Scientist, Mobile Manipulation Robotics (I/O) Applied Scientist focused on developing learning-based approaches for mobile manipulation in robotics, aiming to advance capabilities for robots navigating and manipulating objects in dynamic fulfillment environments. The role involves model development, training, data management, experimentation, validation, and code development for production systems at Amazon's scale. | ShipData | 8 |
| 2026 Fall Applied Science Internship - Recommender Systems/ Information Retrieval (Machine Learning) - United States, PhD Student Science Recruiting This internship focuses on developing and evaluating new recommendation and search algorithms, building data processing pipelines, and conducting research in recommender systems and information retrieval. The role involves applying machine learning, deep learning, and NLP techniques to large-scale datasets to improve personalized experiences for Amazon customers. | ShipData | 8 |
| 2026 Fall Applied Science Internship - Computer Vision - United States, PhD Student Science Recruiting This internship focuses on developing and implementing cutting-edge computer vision algorithms and models for Amazon's consumer-facing products and services, such as Rekognition, Go, and Visual Search. The role involves working with large-scale systems, including mobile robots and advanced tooling, to solve real-world problems. Interns will contribute to production-level projects, technical white papers, and roadmaps, with a strong emphasis on applied science and deep learning in computer vision, potentially involving Vision-Language Models and LLMs. | ShipAgent | 8 |
