- San Bruno, California, United States
- On-site
- Full-time · Mid
- $159K–$230K per year
- 5+ years
Drive YouTube’s multi-year ML Infrastructure strategy across a comprehensive, balanced portfolio covering the complete machine learning lifecycle: training modernization, next-generation serving, and frontier model scaling.
Compensation
US: $159000 - $230000 (USD) + 15% bonus target + equity + benefits
Responsibilities
- Lead cross-team migrations to next-generation ML frameworks, runtimes, and training systems across distributed models.
- Drive the strategic roadmap and operational delivery for production ML serving platforms, ensuring low-latency inference, high availability, and zero-downtime rollouts.
- Partner with capacity planning and engineering teams to optimize compute scalability, hardware efficiency, and accelerator (TPU/GPU) utilization.
- Manage cross-functional dependencies, milestones, and technical blockers across modeling, systems, SRE, and platform teams.
- Establish operational cadences, proactively manage technical risks, and communicate program status, roadmaps, and trade-offs to executive leadership.
Requirements
- Bachelor's degree or equivalent practical experience
- Nice to have: cross-functional or cross-team projects
- Nice to have: large-scale software migrations
- Nice to have: platform modernizations
- Nice to have: Computer Science