Machine Learning Scientist 5 - Games
Core
Develop foundational ML models and pipelines to solve high-impact business problems in gaming, including audience insights, opportunity sizing, and forecasting.
Role type
Senior Machine Learning Scientist (Forecasting & Audience Research)
Builds
Foundational ML building blocks, end-to-end ML pipelines, and reusable ML capabilities for the games portfolio.
Domain
Interactive entertainment / Gaming / Machine Learning
Deliverable
production ML models
Required skills
Causal inference, embedding development, large-scale ML project leadership, technical roadmap alignment, prototype development, business-technical translation, zero-to-one environment experience, MLOps best practices
Preferred skills
Game design and engineering collaboration, evaluation framework design, Python, PyTorch, LangChain
Technologies
Python, PyTorch, LangChain
Responsibilities
Develop sophisticated embeddings and models incorporating game-specific signals; Build tools, models, and pipelines to accelerate DSE workflows; Act as a liaison with broader Netflix DSE and AI teams; Create end-to-end ML pipelines for actionable insights; Establish technical standards for ML capabilities across game domains.
Seniority
Senior (L5), hands-on IC with leadership responsibilities