Machine Learning Scientist 5 - Games

Netflix Games is hiring an ML Scientist (L5) focused on forecasting and audience research — building embeddings, models, and pipelines that bridge game design with machine learning to power audience insights and data-intensive game features.

$466,000 – $750,000 / yr

Location

Natick, MA

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Seniority

Compared with 9 other Research roles:
Common across similar roles Unique to this role

• Develop embeddings and models incorporating game-specific signals for audience insights, opportunity sizing, and forecasting
• Build tools, models, and pipelines accelerating data-science workflows across the games portfolio Common
• Serve as liaison between Netflix Games and broader DSE/AI teams Unique
• Design end-to-end ML pipelines enabling actionable insights and data-intensive game features Unique
• Establish technical standards for ML applications across game domains Unique

• Ph.D. in Computer Science, ML, or related quantitative field
• 5+ years leading complex, end-to-end ML projects impacting customer experiences Unique
• 3+ years navigating large-scale technical organizations
• Ability to bridge ML architecture with business objectives; causal-inference foundations Unique
• Nice to have: game-dev experience, production ML/MLOps, evaluation frameworks (Python, PyTorch, Lang Chain)