Tech Lead, YouTube Shorts Discovery, ML Recommendations
Mountain View, CA, USA · Full-time · Posted Oct 12, 2026
- Experience
- 8 years in software development; 5 years testing and launching software products; 3 years in software design and architecture; 5 years in speech/audio, reinforcement learning, or another ML field; 5 years in ML design and ML infrastructure. Preferred: 8 years in data structures and algorithms; 3 years in a technical leadership role.
- Education
- Bachelor’s degree or equivalent practical experience.
About the job
Lead engineering for YouTube Shorts discovery and recommendations, building ML-based systems that find initial audiences for fresh videos and personalize recommendations.
What you'll do
- Provide technical leadership on high-impact projects, manage priorities and deliverables, and align teams on goals and timelines.
- Lead design and implementation in specialized ML areas, optimize ML infrastructure, and guide model optimization and data processing strategies.
- Design, develop, test, deploy, maintain, and enhance large-scale software solutions.
What they ask for
- Bachelor’s degree or equivalent practical experience.
- 8 years of experience in software development; 5 years testing and launching software products; and 3 years in software design and architecture.
- 5 years of experience in speech/audio, reinforcement learning, or another ML field.
- 5 years of experience with ML design and ML infrastructure, such as model deployment, evaluation, data processing, debugging, or fine tuning.
Nice to have
- Master’s degree or PhD in a related technical field; 8 years in data structures and algorithms with experience building distributed, large-scale machine learning systems.
- Experience designing and deploying recommendation, personalized ranking, or retrieval systems; expertise in cold-start, reinforcement learning, or exploration/exploitation algorithms.
Pay
$207000 - $300000 (USD) (base salary)
Tools
ML, LLM
AI focus
Build and improve personalized recommendations, LLM-based recommendation systems, discovery engines, and ML infrastructure for YouTube Shorts.
Model-written summary · the original posting is authoritative