NewsBreak
Staff Machine Learning Engineer, Recommendation & AI Platform
$230K–$300K
Mountain View, California, United States · Staff · Full-time · Posted Aug 7, 2026
- Experience
- 8+ years of industry experience building large-scale ML or recommendation systems.
About the job
Provides technical leadership for large-scale recommendation systems and AI initiatives, setting architecture and guiding AI technologies from validation through production.
What you'll do
- Lead recommendation-system architecture and best practices for model lifecycle management, experimentation, and reliability.
- Own initiatives spanning retrieval, ranking, re-ranking, optimization, and applying LLMs or foundation models to recommendation, content intelligence, and user modeling.
- Lead cross-team AI initiatives and promote AI-native engineering practices, shared tooling, and scalable production platforms.
What they ask for
- Deep expertise in recommendation systems and applied machine learning in production.
- Strong system design skills and ability to influence architecture across teams.
- Proven technical leadership and cross-team collaboration.
Nice to have
- Production experience applying LLMs or foundation models to recommendation or content systems.
- Experience leading 0 → 1 AI platform or product initiatives, or improving engineering velocity through AI-assisted development workflows.
Pay
$230,000 — $300,000 USD (base salary)
Tools
LLMs, foundation models
AI focus
Apply LLMs and foundation models to recommendation, content intelligence, and user modeling; lead AI initiatives and promote AI-assisted engineering workflows.
Model-written summary · the original posting is authoritative