# Principal Applied Scientist, Search & Assistant, Prime Video Personalization and Discovery at Amazon

Amazon is hiring a Principal Applied Scientist, Search & Assistant, Prime Video Personalization and Discovery in Seattle, United States. It pays $229k-$309k a year and Level rates it Builds AI ●●●●; you can [apply on Amazon](https://jobsbylevel.com/go/8c90a5f2-a0e3-40ab-94e3-7288bcf09e6a?utm_medium=ai-agent).

AI Level 4, AI centrality 87 out of 100. US, WA, Seattle.

## Details

- Company: [Amazon](https://jobsbylevel.com/companies/amazon)
- AI level: AI Level 4 (score 87 out of 100)
- Location: US, WA, Seattle
- Salary: $229k-$309k
- Posted: June 29, 2026
- Apply: https://jobsbylevel.com/go/8c90a5f2-a0e3-40ab-94e3-7288bcf09e6a?utm_medium=ai-agent
- Free CV review for this job: https://jobsbylevel.com/cv-review?job=principal-applied-scientist-search-assistant-prime-video-personalization-and-discovery-at-amazon-f9c9e7

## Prepare for this job

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## Description

Are you interested in shaping the future of entertainment through cutting-edge AI? Prime Video’s technology teams are redefining the digital video experience at scale. As a Principal Applied Scientist at Prime Video, you will be a technical and strategic leader responsible for inventing, developing, and deploying groundbreaking AI solutions that power personalized, relevant, and delightful experiences for hundreds of millions of global customers. You will help shape the vision and direction of key ML systems that support Prime Video’s mission to deliver AI-powered customer experiences. Prime Video is a fast-growing business with new customer problems emerging every day, and this is the moment to rethink how customers find what they love. We recently launched a new search stack built on LLMs and generative retrieval, and we are now moving from traditional recommender systems to experiences powered by foundation models. You will join a research-driven team that is building and publishing at the same time. This year our scientists submitted work to SIGIR, RecSys, ICLR, CIKM, and ACL, and we host summer interns who work on these problems with us. Key job responsibilities - Lead the strategy for applying foundation models and LLMs across Prime Video search and discovery, evolving the current systems rather than rebuilding them - Advance LLM-based and generative retrieval approaches across search and discovery - Make LLM-powered experiences more efficient and scalable through model fine-tuning, distillation, and inference optimization, and right-size each solution to the problem - Invent, prototype, and productionize large-scale AI solutions using deep learning, generative AI, reinforcement learning, and optimization techniques - Explore and deliver agentic workflows and Gen AI customer experiences, including through model fine-tuning approaches - Provide technical leadership and influence product vision by partnering closely with engineers, product managers, and senior stakeholders - Design and lead high-impact A/B tests and data analyses that validate hypotheses and guide product direction - Raise the technical bar across science and engineering through mentorship (including of interns), design reviews, and collaboration - Publish impactful research internally and externally at top-tier venues such as SIGIR, RecSys, ACL, and similar conferences A day in the life In your first year, you will lead how LLMs power the search and discovery experience across Prime Video. You won’t be starting from scratch. You will grow and evolve systems that are already in production, making them smarter, faster, and more efficient. You will decide where a large model adds real customer value and where a leaner approach, such as distillation, fine-tuning, or smaller models, is the better choice. Your work will be highly visible to senior leadership and will directly shape how millions of customers discover content. About the team Prime Video Personalization and Discovery (PVPD) is dedicated to creating a highly personalized content discovery experience that not only delights our customers but also drives both short-and long-term business goals. Our scope includes personalized recommendations, search, marketing, and the advanced machine learning technology and infrastructure that underpins these experiences. Our mission is to automate and enhance customer engagement through personalization, using ML and Generative AI. Basic qualifications - 5+ years of hands-on work in predictive modeling and analysis experience - PhD in Electrical Engineering, Computer Science, Mathematics, or a related technical field - Experience working in predictive modeling and analysis - Experience distilling informal customer requirements into problem definitions, dealing with ambiguity and competing objectives - Experience programming in Java, C++, Python or related language - Experience with leading experienced scientists as well as having a record of developing junior

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