Currently tracking 995 active AI roles, up 64% versus the prior 4 weeks. Primary focus: Agent · Engineering. Salary range $65k–$465k (avg $196k).
| Title | Stage | AI score |
|---|---|---|
| Sr. Research Scientist, Community Operations Senior Research Scientist role focused on building and validating AI models to quantify the impact of Amazon's operational presence on local communities. The role involves designing causal frameworks, predictive models, and automated causal discovery systems using LLMs and document understanding. It also includes deploying production ML forecasting systems with multi-modal data sources and mentoring junior scientists. The work is at the intersection of computational social science, AI, and operational planning, influencing decisions affecting thousands of communities daily. | AgentData | 7 |
| Applied Scientist, Sponsored Products and Brands This role focuses on applying and researching novel machine learning approaches, particularly deep learning methods for multi-objective optimization, to develop real-time algorithms for allocating billions of ads daily in advertising auctions. The work involves end-to-end ML projects with ambiguity and scale, aiming to improve customer experience and drive revenue. The role also involves recruiting and mentoring scientists. |
| AgentServe |
| 7 |
| Applied Scientist, Sponsored Products and Brands Applied Scientist role at Amazon Ads focusing on generative AI for sponsored products, developing real-time ML algorithms for ad allocation and multi-objective optimization. The role involves end-to-end ML projects with ambiguity and scale, aiming to improve customer experience and drive revenue. It also includes researching new ML approaches and potentially recruiting/mentoring scientists. | AgentServe | 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, 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 |
| Applied Scientist, Prime Video - Content Localization, Understanding & Enrichment Applied Scientist role at Amazon Prime Video focusing on content localization, understanding, and enrichment using NLP and computer vision. The role involves leading research direction, developing deep learning algorithms, and potentially building agentic systems for content understanding. | Post-trainAgent | 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 III - AMZ9674037 Applied Scientist III role at Amazon Web Services focusing on the design, development, evaluation, and deployment of data-driven models and analytical solutions for ML and NL applications. Responsibilities include applying statistical modeling, optimization, and ML techniques, building and deploying models in production, and researching novel ML approaches. Requires a Master's degree in a related field and experience in programming and developing supervised/unsupervised ML models. | Post-train | 7 |
| Applied Scientist Internship role for MS or PhD students in Speech, Robotics, Computer Vision, or Machine Learning/Deep Learning. Focuses on building large-scale ML systems using large datasets and translating business requirements into prototypes. Involves analyzing and modeling terabytes of text, images, and other data. | Data | 7 |
| Applied Scientist, Artificial General Intelligence The Applied Scientist will develop and maintain LLM-as-a-Judge systems and auditing frameworks to ensure the quality of data used for training and evaluating Amazon Nova models, impacting LLM products and services. | Eval GatePost-train | 7 |
| Applied Scientist, Prime Video - Content Reasoning, Enrichment and Localization Team Applied Scientist role at Amazon Prime Video focusing on content reasoning, enrichment, and localization. The role involves research and application of machine learning, audio processing, and natural language understanding, with specific mention of multimodal machine translation, speech synthesis, speech analysis, and asset quality assessment. Requires experience in building models for business applications and a PhD or Master's degree. Familiarity with foundational models and speech synthesis is a plus. | Post-trainData | 7 |
| Applied Scientist III - AMZ9675101 Applied Scientist III role focused on designing, developing, evaluating, deploying, and updating data-driven models and analytical solutions for machine learning and natural language applications. The role involves applying statistical modeling, optimization, and ML techniques, building and deploying models in production, and researching novel ML approaches. Requires a Master's degree (or equivalent experience) in a related field and experience in programming and developing supervised/unsupervised ML models. | Serve | 7 |
| Applied Scientist, Prime Video - Personalization and Discovery Science Applied Scientist role focused on developing and launching AI solutions for Prime Video's personalization and discovery systems, involving deep learning, GenAI, RL, and optimization. The role requires end-to-end ownership, experimental design (offline and A/B testing), and publishing research findings. Experience with recommender systems and personalization is preferred. | Ship | 7 |
| Applied Scientist, Special Projects Applied Scientist role focused on building and evaluating ML models for life sciences applications, specifically protein biology. Requires a PhD in a related field and expertise in ML/deep learning, with a preference for publication experience. | Post-train | 7 |
| Applied Scientist, Pricing Science Applied Scientist role focused on developing and launching customer-obsessed pricing algorithms for billions of products worldwide. This involves leveraging large-scale multi-modal datasets, applying machine learning, predictive modeling, causal inference, and reinforcement learning to optimize pricing strategies and tools for sellers. The role emphasizes collaboration with product and engineering teams, continuous learning, and delivering business impact through innovative pricing solutions. | ShipAgent | 7 |
| Sr. Applied Scientist, Predictive Targeting Applied Scientist role focused on developing and deploying machine learning models to optimize marketing initiatives and predict customer behavior for Amazon's consumer business. Requires strong quantitative modeling, statistical methods, and experience with deep learning. | Ship | 7 |
| Personal Robotics Group - Research Scientist II Intern / Co-op - 2026 (Robotics, Manipulation, Locomotion, Controls, Reinforcement Learning, Perception, Manipulation, Planning, HRI and more) Research Scientist II Intern/Co-op role in Amazon's Personal Robotics Group, focusing on developing intelligent robotic products and systems. The role involves research in areas like robotics manipulation, autonomous navigation, locomotion, controls, perception, robot learning, AI, ML, computer vision, LLMs, and HRI, with a goal of impacting millions of customers. The position is for PhD students and involves working on scalable research projects. | ShipAgent | 7 |
| Applied Scientist, Customer360 Research scientist role focused on developing new AI technologies for personalization, specifically in recommendations, information retrieval, and fine-tuning LLMs, for Amazon's e-commerce platform. The role involves research, design, development, and launching new features and systems, with a strong emphasis on innovation and customer impact. | Post-trainAgent | 7 |
| Sr. Applied Scientist, Pricing Science The role involves applying deep learning, neural networks, and transformer architectures to price prediction and forecasting problems within Amazon's Pricing Optimization group. It focuses on developing and deploying ML models at scale to improve pricing and promotion strategies, requiring collaboration with product, engineering, and science teams. | Ship | 7 |
| Economist II, Featured Merchant Algorithm The Economist II, Featured Merchant Algorithm role at Amazon focuses on developing and deploying machine learning models that determine the 'Buy Box' offer and surrounding customer experience on Amazon's platforms. This involves ranking and selecting the best offer based on factors like price, availability, and delivery, impacting billions of transactions daily. The role requires a PhD in economics, strong data-driven decision-making, collaboration with cross-functional teams, and expertise in prediction and forecasting with large datasets. | Ship | 7 |
| Robotics - Data Science Intern / Co-op - 2026 This internship role focuses on applying data science and machine learning to solve complex problems in robotics at Amazon. Interns will design and implement solutions, research new algorithms, collaborate with experts, and build tools to improve robotics analytics and customer experience. The role involves working with various AI/ML fields including computer vision, LLMs, and deep learning within a robotics context. | Ship | 7 |
| Applied Scientist II, Prime Video - Personalization and Discovery Science Applied Scientist II at Amazon Prime Video focusing on personalization and discovery science. The role involves developing ML models for recommendation and search systems using deep learning, online learning, and optimization methods. It requires staying updated with the latest modeling techniques, publishing research findings, and applying advanced approaches like foundation models to solve cold-start problems and discover niche customer interests. The scientist will work on highly scalable page personalization solutions and collaborate with engineers and product managers. | Ship | 7 |
