Software Engineering Manager, YouTube Ads Machine Learning
Mountain View, CA, USA · Manager · Full-time · Posted Oct 7, 2026
- Experience
- 8 years in software development; 5 years leading ML design and optimizing ML infrastructure; 3 years in technical leadership; 2 years in GenAI or related concepts; 2 years in people management or team leadership.
- Education
- Bachelor's degree or equivalent practical experience.
About the job
Leads a YouTube Ads machine learning team developing and deploying large-scale ad recommendation systems and setting technical and people priorities.
What you'll do
- Set team priorities and align strategy and decision-making across teams; coach and develop team members.
- Develop the mid-term technical goals and roadmap for the team(s).
- Build large-scale machine learning systems, research and deploy deep model architectures, and run live experiments and metrics analysis.
What they ask for
- Bachelor's degree or equivalent practical experience.
- 8 years of experience in software development.
- 5 years leading ML design and optimizing ML infrastructure; 3 years in a technical leadership role and 2 years in people management or team leadership.
- 2 years of experience with GenAI techniques or related concepts.
Nice to have
- Master’s degree or PhD in Engineering, Computer Science, or a related technical field.
- 3 years of experience working in a complex, matrixed organization; strong problem-solving and quantitative reasoning skills.
Pay
$207000 - $300000 (USD) base salary
Tools
machine learning, GenAI, LLMs, Multi-Modal, Large Vision Models, language modeling, computer vision, Gemini
AI focus
Researches and applies machine learning and Generative AI to YouTube ad recommendations, ad quality, user protection, and campaign optimization; builds and deploys large-scale ML systems and deep model architectures.
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