Staff ML Software Engineering Manager, Google Display Ads
Mountain View, CA, USA · Staff · Full-time · Posted Oct 6, 2026
- Experience
- 8 years in software development; 5 years leading ML design and optimizing ML infrastructure; 2 years with state-of-the-art GenAI techniques or related concepts; 2 years in people management or team leadership. Also requires experience in software engineering for recommendation systems or feed ranking architectures.
- Education
- Bachelor's degree or equivalent practical experience.
About the job
Leads a machine learning engineering team building global-scale generative retrieval, personalization, and content intelligence systems for Google Display Ads.
What you'll do
- Set the technical roadmap and architect retrieval models, embeddings, and scalable systems.
- Advance AI and LLM applications, and optimize model training, serving, and compute infrastructure.
- Manage and mentor engineers and collaborate with research, product, and infrastructure teams.
What they ask for
- Bachelor's degree or equivalent practical experience.
- 8 years of experience in software development.
- 5 years of experience leading ML design and optimizing ML infrastructure; 2 years with state-of-the-art GenAI techniques or related concepts; and 2 years in people management or team leadership.
- Experience in software engineering for recommendation systems or feed ranking architectures.
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.
Pay
$207000 - $300000 (USD) base salary
Tools
LLMs, TPU, GPU, C++
AI focus
Leads generative retrieval and LLM-driven content intelligence; develops AI-powered retrieval and personalization, and improves model relevance, performance, and efficiency.
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