Applied Scientist, Prime Video Science
Core
Build machine learning and deep learning models on large-scale global data to simulate customer behavior and answer counterfactual 'what-if' questions guiding content and product investment decisions.
Role type
Applied Scientist (Causal Inference & Reinforcement Learning)
Builds
Large-scale simulation models for customer behavior, agentic AI systems, and production-ready ML systems for Prime Video content and product strategy.
Domain
Entertainment / Streaming / Machine Learning / Causal Inference
Deliverable
production ML models
Required skills
Reinforcement learning, Causal inference, Agentic AI system design, Deep learning, Experimental design, Java, C++, Python
Preferred skills
Deep learning architecture design, Model pruning, Professional software development, Novel ML research
Technologies
Java, C++, Python
Responsibilities
Build models to simulate customer behavior for investment decisions; Apply deep learning and causal inference to large-scale data; Design and prototype agentic AI systems; Validate models against real-world randomized experiments; Translate model outputs into recommendations for stakeholders.
Seniority
Senior, hands-on IC
