CareerPlan

Applied Scientist, Prime Video Commerce Insights

London, England, United KingdomFull-time2026-10-15 → 2026-11-11

Core

Develop and deploy customer-facing ML models to personalize Prime Video commerce decisions (subscriptions, channels, transactions) across hundreds of millions of customers.

Role type

Senior Applied Scientist (ML/Commerce)

Builds

Personalized commerce journey (discovery to checkout) using agentic/generative AI, behavioral simulation, and causal inference.

Domain

Streaming entertainment / E-commerce / Machine Learning

Deliverable

production ML models

Required skills

Java, C++, Python, algorithms and data structures, numerical optimization, data mining, parallel and distributed computing, high-performance computing, reinforcement learning, recommendation systems

Preferred skills

publications at top-tier conferences, self-developed code implementation

Technologies

Java, C++, Python, reinforcement learning, recommendation systems

Responsibilities

Research and implement ML approaches for personalization; collaborate with engineers to deploy models into large-scale production systems; design and execute rigorous experiments; define science roadmap; provide ML thought leadership to technical and business leaders; work with product managers to deliver ML-backed solutions.

Seniority

Senior, hands-on IC