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Sr Staff ML Engineer - Applied AI

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Uber

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Location:
United States , San Francisco

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Contract Type:
Not provided

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Salary:

267000.00 - 297000.00 USD / Year

Job Description:

We are building AI-native discovery experiences across Mobility and Delivery. Search, recommendations, and conversational AI are central to how millions of users discover rides, restaurants, grocery items, and retail products every day. We are hiring a Senior Staff ML Engineer to define the multi-year technical vision and architecture for foundation models powering these experiences. The Uber Foundation Model would serve as the common semantic backbone that enables Uber to understand users, places, merchants, items, and behavioral patterns in a unified way. By building a shared representation layer and continuously improving it with cross-LOB signals, Uber ensures that intelligence compounds rather than fragments. This foundation powers personalization, search, agents, automation, and decision systems across Mobility, Delivery, and future surfaces.

Job Responsibility:

  • Define and champion the multi-year technical vision and architecture for foundation models across Search, Recommendations, and Conversational AI
  • Set the architectural standard and drive system design for critical, high-leverage ML platforms across Mobility and Delivery
  • Lead cross-team initiatives spanning Retrieval, Ranking, Personalization, and LLM-powered assistants, resolving complex technical trade-offs across organizational boundaries
  • Define long-term investment areas (build vs fine-tune vs partner models) with clear business rationale and long-term viability
  • Provide principal-level technical leadership, mentoring Staff and Senior Staff engineers, and setting the bar for technical excellence across the entire AI organization

Requirements:

  • Masters degree or Ph.D in Computer Science, Engineering, 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
  • Proven ability to set the technical strategy for a large organization and influence product roadmaps at the executive level
  • Strong product intuition and ability to connect model improvements to business outcomes

Nice to have:

  • Track record of successfully launching multi-year, multi-org ML initiatives that drove step-change business outcomes
  • Successfully championed and driven the adoption of multi-year technical roadmaps across multiple large engineering organizations
  • Elevated engineering standards through mentorship and technical leadership, establishing org-wide best practices
What we offer:
  • Eligible to participate in Uber's bonus program
  • May be offered an equity award & other types of comp
  • All full-time employees are eligible to participate in a 401(k) plan
  • Eligible for various benefits

Additional Information:

Job Posted:
April 16, 2026

Employment Type:
Fulltime
Work Type:
Hybrid work
Job Link Share:

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