Senior Staff ML Engineer, Foundation Models & AI

Uber; United States; Hybrid; USD 267,000 - 297,000; Full time

Benefits offered by this job

Bonus program

Equity award

401(k) plan

Job summary

Uber is hiring a Senior Staff ML Engineer to define the multi-year vision and architecture for foundation models powering search, recommendations, and conversational AI across Mobility and Delivery.

You will lead system design for large-scale ML platforms, mentor engineers, and align technology with business goals at the executive level. This role is based in San Francisco with in-office requirements and competitive compensation.

Qualifications

• 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.

Responsibilities

• 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.

Skills

Transformers

Retrieval systems

Ranking

Embedding architectures

PyTorch

Distributed training

Executive-level strategy

Education

Master's degree in Computer Science/Engineering/Mathematics

Tools

PyTorch

Job description

Uber is hiring a Senior Staff ML Engineer to define the multi-year vision and architecture for foundation models powering search, recommendations, and conversational AI across Mobility and Delivery.

You will lead system design for large-scale ML platforms, mentor engineers, and align technology with business goals at the executive level. This role is based in San Francisco with in-office requirements and competitive compensation.