Staff ML Engineer, Search Discover Feed Recommendation
Mountain View, CA, USA · Staff · Full-time · Posted Sep 22, 2026
- Experience
- 8 years in software development; 5 years in machine learning, recommendation systems, natural language processing, or a related field. Preferred: 8 years with data structures/algorithms; 3 years in a technical leadership role.
- Education
- Bachelor’s degree or equivalent practical experience; preferred: Master’s degree or PhD in Engineering, Computer Science, or a related technical field.
About the job
Builds and improves AI-generated content quality and recommendation systems for Google Search’s Discover Feed and Notifications.
What you'll do
- Build AIGC quality frameworks and agentic workflows for proactive surfaces.
- Develop context engineering and feedback loops, and evaluate content using downstream recommendation signals.
- Resolve serving bottlenecks to improve efficiency on low-latency surfaces; influence machine learning strategy.
What they ask for
- Bachelor’s degree or equivalent practical experience.
- 8 years of experience in software development.
- 5 years of experience in machine learning, recommendation systems, natural language processing, or a related field.
- Experience building LLM quality evaluation frameworks and integrating generative AI tools or LLM interfaces into workflows.
Nice to have
- Master’s degree or PhD in Engineering, Computer Science, or a related technical field.
- Experience in technical leadership, low-latency inference optimization, or connecting LLM quality evaluations with recommendation signals.
Pay
$207000 - $300000 USD base salary
Tools
Large Language Models, LLM-as-a-judge, RLHF, DPO
AI focus
Develops AI-generated content and agentic feedback and evaluation systems to improve factuality, freshness, coherence, tone, and recommendation quality.
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