Staff Software Engineer, AI/ML GenAI, Search Intelligence
Mountain View, CA, USA · Staff · Full-time · Posted Oct 1, 2026
- Experience
- 8 years in software development; 5 years testing and launching software products; 3 years in software design and architecture; 5 years leading ML design and optimizing ML infrastructure; 2 years with state-of-the-art GenAI techniques or GenAI-related concepts. Preferred: 8 years architecting and operating large-scale distributed systems or ML infrastructure.
- Education
- Bachelor's degree or equivalent practical experience; preferred Master’s degree or PhD in a relevant quantitative field.
About the job
Leads the architecture and development of scalable systems and statistical methods to evaluate the factual accuracy and user experience of Google Search’s GenAI products.
What you'll do
- Set the roadmap and standards for automated evaluation infrastructure and GenAI quality metrics.
- Lead design and implementation of production-scale autorater systems and validate their accuracy using statistical methods.
- Partner across teams to integrate evaluations and mentor engineers in measurement practices.
What they ask for
- 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 in software design and architecture.
- 5 years leading ML design and optimizing ML infrastructure; 2 years with state-of-the-art GenAI techniques or GenAI-related concepts.
Nice to have
- Master’s degree or PhD in a relevant quantitative field.
- Experience with large-scale distributed systems or ML infrastructure, statistical methods, GenAI measurement, or leading engineering initiatives to production.
Pay
$207000 - $300000 (USD) base salary
Tools
Python, C++, Java, Pandas, PyTorch, LLMs, Multi-Modal, Large Vision Models
AI focus
Develops and evaluates GenAI Search products, including automated factual-accuracy and user-experience evaluation, autoraters, and statistical validation against user signals and labeled ground truth.
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