Staff Machine Learning Engineer - Applied AI
Uber San Francisco, CA Full-time 4/7/2026
Master's with 2+ Years of Experience
Approval 99.3%•Total filings 920•New hires 237•
💎 Strong Sponsor
•FY 2025Job Description
The Applied AI team at Uber is seeking a Staff ML Engineer to lead the foundation model strategy for AI-native discovery experiences in Mobility and Delivery. This role involves shaping technical direction, influencing product strategy, and delivering impactful AI solutions across various product surfaces.
Requirements
- Masters degree or Ph.D in Computer Science, Engineering, Mathematics
- 8+ 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
- Track record of influencing technical direction across teams
- Strong product intuition and ability to connect model improvements to business outcomes
Responsibilities
- Own the end-to-end technical strategy for foundation models across Search, Recommendations, and Conversational AI
- Drive architecture decisions that influence multiple product surfaces (Eats, Grocery, Retail, Mobility)
- Lead cross-team initiatives spanning Retrieval, Ranking, Personalization, and LLM-powered assistants
- Define long-term investment areas (build vs fine-tune vs partner models)
- Mentor senior engineers and act as a technical multiplier across the org
Benefits
- Employees at Uber are often offered comprehensive health, life, disability, and mental wellness benefits, along with wellbeing stipends, travel medical coverage, and monthly Uber credits for Rides and Eats. Employees also get generous paid parental leave, flexible time off, and family-planning support so they can care for themselves and their families at every stage.
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