Netflix is seeking an experienced L5 ML Scientist specialized in forecasting and audience research to enhance interactive entertainment through AI. The role involves developing ML models, accelerating product development, and establishing technical standards within the gaming space.

• Ph.D. in Computer Science, Machine Learning, or a related quantitative field.
• 5+ years of experience leading complex, end-to-end ML projects that impact end-customer experiences.
• 3+ years of experience navigating large-scale technical organizations to align roadmap priorities and share infrastructure.
• Ability to digest the latest research paper and ship a functional prototype or foundational model quickly.
• Capability to bridge the gap between technical ML architecture and business objectives.
• Experience thriving in zero-to-one environments with freedom to choose stack and define engineering standards.
• Foundational understanding of causal inference principles.
• Passion for developing reusable ML capabilities.

• Develop sophisticated embeddings and models to solve high-impact business problems.
• Build tools, models, and pipelines to accelerate DSE workflows across games portfolio.
• Act as a liaison with broader Netflix DSE and AI teams to tailor global capabilities for gaming.
• Create end-to-end ML pipelines for actionable insights and data-intensive game features.
• Establish technical standards for ML capabilities across game domains.

• Employees at Netflix are often offered flexible, people-first benefits—unlimited time away, generous parental leave, global family-forming support, mental-health programs (mindfulness, free counseling/coaching), and health coverage tailored by country. Financially, Netflix pays at personal top-of-market and lets employees choose their mix of cash vs. fully-vested 10-year stock options, alongside donation and volunteer matching. Convenience perks can include trust-based travel/expense policies, relocation support, and “Work, Not Drive” rideshare flexibility.