Staff ML Engineer: Foundation Models for Global Discovery

Uber; United States; On-site; USD 232,000 - 258,000; Full time

Benefits offered by this job

Bonus program

Equity

401(k) and benefits

Job summary

Uber is seeking a Staff ML Engineer (IC6) to define and lead the foundation model strategy powering AI-native discovery experiences across Mobility and Delivery. You will shape technical direction across teams, influence product strategy, and deliver measurable impact at global scale.

You will own end-to-end strategy for foundation models, drive critical architecture decisions, and mentor senior engineers, acting as a technical multiplier across the organization.

Qualifications

• Masters degree or Ph.D in Computer Science, Engineering, Mathematics.
• 8+ years of ML experience, including large-scale deep learning systems.
• 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.

Skills

Transformers

Retrieval & ranking

Distributed training

Technical leadership

Product intuition

Education

Masters or PhD in CS/Engineering/Math

Tools

PyTorch

Job description

Uber is seeking a Staff ML Engineer (IC6) to define and lead the foundation model strategy powering AI-native discovery experiences across Mobility and Delivery. You will shape technical direction across teams, influence product strategy, and deliver measurable impact at global scale.

You will own end-to-end strategy for foundation models, drive critical architecture decisions, and mentor senior engineers, acting as a technical multiplier across the organization.