Staff Software Engineer, YouTube Ads Experiences
Mountain View, CA, USA · Staff · Full-time · Posted Sep 28, 2026
- Experience
- 8 years in software development; 5 years in ML design and ML infrastructure; 5 years testing and launching software products; 3 years in software design and architecture. Preferred: 8 years in data structures and algorithms; 3 years in technical leadership; 3 years in a complex, matrixed organization.
- Education
- Bachelor’s degree or equivalent practical experience.
About the job
Leads engineering for YouTube ad experiences, balancing user experience and advertiser outcomes across major surfaces, including Watch and Shorts.
What you'll do
- Align teams on goals, outcomes, and timelines; influence and coach a distributed engineering team.
- Lead full-stack efforts to reduce friction between ads and their destinations, from infrastructure to UI.
- Develop and optimize ad experiences across YouTube surfaces, applying AI where it helps solve product and interaction challenges.
What they ask for
- Bachelor’s degree or equivalent practical experience.
- 8 years of experience in software development.
- 5 years of experience with ML design and ML infrastructure; 5 years testing and launching software products; and 3 years in software design and architecture.
- Experience integrating generative AI tools or LLM interfaces into workflows, and applying AI to real-world technical problems.
Nice to have
- Master’s degree or PhD in Engineering, Computer Science, or a related technical field.
- 8 years of experience with data structures and algorithms; technical leadership and complex, cross-functional project experience are also preferred.
Pay
$207000 - $300000 (USD) (base salary)
Tools
ML, Gemini, GenAI, LLM
AI focus
Applies machine learning and generative AI to advertising technology, including solving layout and interaction problems and building adaptive products; requires experience integrating generative AI tools or LLM interfaces into workflows.
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