Senior Manager Applied Science, Prime Video Personalization & Discovery

Saved job 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 Senior Manager, 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 Video’s 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-end - leading innovation from foundational research through production deployment - while 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 job responsibilities

As a Sr. Manager, Applied Science, in the Prime Video Personalization and Discovery organization, you will be responsible for optimizing the complete customer experience, across the touch points throughout customers’ discovery journey. This includes building AI and optimization solutions, working with product, engineering teams to deliver the optimal balance of customer delight and business outcomes.

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.

Requirements: - PhD (or Master’s with 10+ years of applied experience) in machine learning, computer science, statistics, or a related field

- 8+ years 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

- 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