Tech Lead, YouTube Shorts Discovery, ML Recommendations
Google· YouTube Shorts Discovery/ML Recommendations
Mountain View, CA, USAFull-timePosted 1w ago
About the role
Software engineering leadership role focused on personalized recommendations and ML-driven discovery for YouTube Shorts, with technical ownership, cross-team collaboration, and ability to influence roadmaps and architecture.
Responsibilities
- Contribute to personalized quality recommendations and help build and grow a promising new product within Google, focusing on the discovery/recommendation engine and LLM-based recommendation systems.
- Provide technical leadership on high-impact projects. Manage project priorities, deadlines, and deliverables.
- Facilitate alignment and clarity across teams on goals, outcomes, and timelines. Influence and coach a distributed team of engineers.
- Lead the design and implementation of solutions in specialized ML areas, optimize ML infrastructure, and guide the development of model optimization and data processing strategies.
- Design, develop, test, deploy, maintain, and enhance large scale software solutions.
Qualifications
- Bachelor’s degree or equivalent practical experience.
- 8 years of experience in software development.
- 5 years of experience testing, and launching software products, and 3 years of experience with software design and architecture.
- 5 years of experience with one or more of the following: speech/audio, reinforcement learning, or specialization in another ML field.
- 5 years of experience with ML design and ML infrastructure (e.g., model deployment, model evaluation, data processing, debugging, fine tuning).
Skills
Required:Software developmentLeadership and mentoringMachine learning systems
Nice to have:Distributed systems
Benefits
- Learn more about benefits at Google (provided in job description)
Last updated Oct 23, 2026. Interested? Apply on the company site.
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