The Senior Staff ML Engineer will be part of the Applied AI team at Uber, focusing on building AI-native discovery experiences across Mobility and Delivery. This role involves defining the multi-year technical vision and architecture for foundation models that enhance search, recommendations, and conversational AI. The engineer will collaborate with various teams to ensure a unified understanding of users and products, driving significant impact at a global scale. This position requires strong leadership and technical expertise in machine learning systems.

• Masters degree or Ph.D in Computer Science, Engineering, or 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

• 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
• Define long-term investment areas 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

• 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.