Role details

Contract type

Permanent contract

Employment type

Full-time (> 32 hours)

Experience level

Experienced

Experience required

3 years minimum

Working hours

Regular working hours

Job source

www.juju.com

Tech stack

Artificial Intelligence Python (Programming Language) Machine Learning Pytorch LangChain Information Technology Build Tools Machine Learning Operations

Job description

• 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

Requirements

• 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)

Apply for this position

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Apply on www.juju.com

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