AI Research Engineer 6 - TL, Algo Core - AI for Member Systems
Core
Technical lead for reward modeling, utility estimation, and multi-objective optimization to combine member and business value in Netflix's promotion and recommendation systems.
Role type
Senior IC research engineer (technical lead)
Builds
Tunable frameworks for allocating promotional real estate across member experiences
Domain
Streaming entertainment + ML optimization
Deliverable
production ML models
Required skills
ML and optimization algorithms, reward modeling, utility estimation, constrained-optimization, auction-based allocation, Python, Scala/Java, A/B testing, mentorship
Preferred skills
80/20 mindset, cross-functional partnership
Technologies
Python, Scala, Java
Responsibilities
Drive technical vision and roadmap for reward modeling and multi-objective optimization; Partner with Merchandising, Ads, and Data Science teams; Design and run offline experiments and A/B tests; Mentor team members and raise engineering standards
Seniority
Senior, hands-on IC with leadership responsibilities
