Uber
Staff Machine Learning Engineer - Applied AI
$232K–$258K
San Francisco, California +2 · Staff · Full-time · Posted Jul 17, 2026
- Location
- San Francisco, California
Seattle, Washington
Sunnyvale, California - Experience
- 8+ years of ML experience.
- Education
- Master’s degree or Ph.D. in Computer Science, Engineering, or Mathematics.
About the job
Defines and leads foundation-model strategy and delivery for search, recommendations, and conversational AI discovery experiences across Uber’s Mobility and Delivery products.
What you'll do
- Own technical strategy for foundation models across Search, Recommendations, and Conversational AI.
- Lead architecture decisions and cross-team initiatives spanning Retrieval, Ranking, Personalization, and LLM-powered assistants.
- Set long-term model investment direction and mentor senior engineers.
What they ask for
- Master’s degree or Ph.D. in Computer Science, Engineering, or 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.
Nice to have
- Experience leading multi-team ML initiatives.
- Defined long-term technical roadmaps adopted across organizations.
Pay
USD $232,000 per year - USD $258,000 per year (base salary) for San Francisco, Seattle, and Sunnyvale roles.
Tools
PyTorch
AI focus
Leads foundation-model strategy and development for search, recommendations, and conversational AI, including decisions on building, fine-tuning, or partnering for models.
Model-written summary · the original posting is authoritative