Senior Staff Tech Lead, YouTube Shorts Discovery
Mountain View, CA, USA +1 · Senior Staff · Full-time · Posted Oct 26, 2026
- Location
- Mountain View, CA, USA
San Bruno, CA, USA - Experience
- 8 years in software development; 7 years in technical project strategy, ML design, and industry-scale ML infrastructure; 5 years in design and architecture, software testing/launch, and production recommendation models.
- Education
- Bachelor’s degree or equivalent practical experience.
About the job
Tech-lead a team building large-scale AI/ML models and systems that personalize YouTube Shorts discovery, retrieval, and early-stage ranking.
What you'll do
- Set technical strategy for Shorts discovery models and systems to grow viewers and creators while improving user satisfaction.
- Lead the design, development, testing, and deployment of recommendation models, model architectures, and ML infrastructure.
- Partner across teams to deliver scalable solutions, align priorities and timelines, and mentor engineers.
What they ask for
- Bachelor’s degree or equivalent practical experience.
- 8 years of experience in software development.
- 7 years of experience leading technical project strategy and ML design, and working with industry-scale ML infrastructure.
- 5 years of experience in design and architecture, testing/launching software products, and building and deploying production recommendation models.
Nice to have
- Master’s degree or PhD in Engineering, Computer Science, or a related technical field.
- Experience in AI/ML recommendations, recommendations technology, technical leadership, or large-scale recommendation/search systems, reinforcement learning, or ML infrastructure.
Pay
$262000 - $364000 (USD) base salary
Tools
LLMs, generative retrieval, long-sequence modeling
AI focus
Build foundational AI/ML models for personalized Shorts retrieval and early-stage ranking, including recommendation systems, user-interest modeling, and model distillation.
Model-written summary · the original posting is authoritative