Uber
Sr Staff ML Engineer - Applied AI
$267K–$297K
San Francisco, California · Senior Staff · Full-time · Posted Jun 19, 2026
- Experience
- 12+ years of ML experience.
- Education
- Master’s degree or Ph.D. in Computer Science, Engineering, or Mathematics.
About the job
Sets technical vision and leads development of foundation models and ML platforms for discovery experiences across Uber Mobility and Delivery.
What you'll do
- Define architecture and multi-year technical direction for foundation models in Search, Recommendations, and Conversational AI.
- Lead cross-team work across Retrieval, Ranking, Personalization, and LLM-powered assistants, including build-versus-fine-tune-versus-partner decisions.
- Mentor senior engineers and set technical standards across the AI organization.
What they ask for
- Master’s degree or Ph.D. in Computer Science, Engineering, or Mathematics.
- 12+ years of ML experience, including significant work on large-scale deep learning systems.
- Demonstrated ownership of high-impact ML systems in search, recommendations, or conversational AI; deep expertise in transformers, retrieval systems, ranking, and embedding architectures.
- Strong experience with PyTorch and distributed training; ability to set organizational technical strategy and influence executive-level product roadmaps.
Nice to have
- Track record launching multi-year, multi-organization ML initiatives with step-change business outcomes.
- Experience championing technical roadmaps across large engineering organizations and establishing engineering best practices.
Pay
USD $267,000 per year - USD $297,000 per year (base salary)
Tools
PyTorch, transformers
AI focus
Build foundation models and a shared representation layer for personalization, search, recommendations, conversational AI, LLM-powered assistants, automation, and decision systems.
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