Machine Learning Scientist 5 - Games

Workman Labs; Natick (MA); On-site; USD 466,000 - 750,000; Full time

Job summary

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

Lead end-to-end ML projects, collaborate with cross-functional teams, and establish technical standards for ML across game domains to drive player engagement and business impact.

Qualifications

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

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 portfolio
• Serve as liaison between Netflix Games and broader DSE/AI teams
• Design end-to-end ML pipelines enabling actionable insights and data-intensive game features
• Establish technical standards for ML applications across game domains

Skills

Embeddings

Forecasting

Models

Pipelines

Python

PyTorch

LangChain

Education

Ph.D. in Computer Science, ML, or related quantitative field

Tools

Python

PyTorch

LangChain

Job description

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

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 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

Experience

• 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, LangChain)