
ResearchPrincipal
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.
Salary
$466,000 – $750,000 / yr
Location
Natick, MA
Work mode
—
Seniority
Principal
Compared with 10 other Research roles: Common across similar roles Unique to this role
What you'll do
Responsibilities
- 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 portfolioCommon
- Serve as liaison between Netflix Games and broader DSE/AI teamsUnique
- Design end-to-end ML pipelines enabling actionable insights and data-intensive game featuresUnique
- Establish technical standards for ML applications across game domainsUnique
What you'll need
Experience
- Ph.D. in Computer Science, ML, or related quantitative fieldCommon
- 5+ years leading complex, end-to-end ML projects impacting customer experiencesUnique
- 3+ years navigating large-scale technical organizations
- Ability to bridge ML architecture with business objectives; causal-inference foundationsUnique
- Nice to have: game-dev experience, production ML/MLOps, evaluation frameworks (Python, PyTorch, LangChain)
