About the job
This position is a tech lead role across all teams. The tech lead will own the vision and strategy for the area, as well as drive execution for key initiatives within individual teams. You will own production ML systems at the intersection of product and platform, spanning GenAI-powered message and asset creation, Commerce, and new content experiences.
Responsibilities
Drive the team’s technical vision and roadmap for candidate generation and emerging applications
Drive cross-functional partnerships with Merchandising, Product, Engineering, and Data Science & Engineering to align ML capabilities with business priorities
Design, build, and ship production ML systems that scale across Netflix's ecosystem
Partner with the AIMS AI Foundations team to integrate and leverage foundation model capabilities for member-facing use cases
Design and run rigorous offline experiments and A/B tests to validate the impact of new systems on key business metrics
Contribute to the team's technical culture through mentorship, code review, and raising the bar on engineering practices
Qualifications
Minimum
6+ years of experience applying machine learning in an industry setting, with a track record of delivering impactful production systems
Experience driving successful partnerships with both technical and nontechnical stakeholders
Masters or PhD in a computational field such as physics, computer science, statistics, or math
Deep expertise in ML algorithms and frameworks, with hands-on experience training, tuning, and deploying models in production
Experience with personalization, recommendations, or search algorithms
Experience with GenAI, LLMs, or multimodal AI in production systems
Strong software engineering skills in Python, plus experience with Scala or Java
Strong 80/20 mindset: ability to scope the right problem, ship pragmatically, and maintain rigorous standards without over-engineering
Preferred
No preferred qualifications listed.