Job Description

Overview

Join to apply for the Principal Applied Scientist, Prime Video Personalization & Discovery role at Prime Video & Amazon MGM Studios .

Are you interested in shaping the future of entertainment through cutting-edge AI? Prime Videos 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 millions of global customers. You will help shape the vision and direction of key ML systems that support Prime Videos mission to deliver AI-powered customer experiences.

This role demands a unique blend of deep technical expertise in machine learning and recommendation systems, industry leadership, and strong collaboration skills. You will guide the development of high-impact systems end-to-endleading innovation from foundational research through production deploymentwhile mentoring scientists and influencing product and engineering roadmaps.

We are looking for a thought leader who brings a strong track record of delivering ML innovations at scale, along with the curiosity and drive to push boundaries. This is a rare opportunity to drive meaningful impact at one of the largest streaming services in the world.

Key responsibilities

• Invent, prototype, and productionize large-scale AI solutions across Prime Videos personalization and discovery ecosystem using deep learning, generative AI, reinforcement learning, and optimization techniques
• Provide technical leadership and influence product vision by collaborating closely with engineers, product managers, and senior stakeholders
• Design and lead high-impact A/B tests and data analyses to validate hypotheses and guide product direction
• Drive technical bar-raising across science and engineering teams through mentorship, design reviews, and collaboration
• Stay ahead of industry trends and emerging research; leverage them to evolve long-term strategy and architecture
• Publish impactful research internally and externally (e.g. top-tier conferences and journals)

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

• PhD (or Masters with 10+ years of applied experience) in machine learning, computer science, statistics, or a related field
• 8+ years of experience designing, building, and deploying ML models for real-world business applications at scale
• Proven leadership in driving cross-functional ML/AI initiatives from ideation through production
• Proficiency in Python, Java, or C++, and experience with ML frameworks (e.g., TensorFlow, PyTorch)
• Deep expertise in recommendation systems, search relevance, or large-scale personalization systems

Preferred qualifications

• Strong publication record in top-tier conferences (e.g. NeurIPS, ICML, KDD, RecSys, SIGIR)
• Experience with large-scale distributed systems (e.g. Hadoop, Spark)
• Demonstrated ability to influence technical roadmaps and mentor other scientists and engineers
• Experience defining and delivering strategic AI vision for consumer-facing products

Amazon is an equal opportunity employer and does not discriminate on the basis of protected veteran status, disability, or other legally protected status. Los Angeles County applicants: follow all applicable laws and policies, including the Los Angeles County Fair Chance Ordinance. We will consider qualified applicants with arrest and conviction records.

Our inclusive culture empowers Amazonians to deliver the best results for our customers. If you have a disability and need a workplace accommodation or adjustment during the application and hiring process, including support for the interview or onboarding process, please visit the Amazon accommodations page for more information.

Our compensation reflects the cost of labor across several US geographic markets. The base pay for this position ranges from $179,000/year to $309,400/year, depending on location, knowledge, skills, and experience. Amazon is a total compensation company. Depending on the position, equity, sign-on payments, and other forms of compensation may be provided as part of a total package.

This position will remain posted until filled. Applicants should apply via our internal or external career site.

Company

Amazon.com Services LLC

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