Principal ML Engineer for Uber's AV Labs, focusing on Physical AI. The role involves building advanced autonomy algorithms and models to add semantics to driving data, enabling better data mining, scene understanding, and causal modeling of vehicle behavior. The primary focus is on enriching L4 data for an evaluation engine, with a secondary focus on agentic systems.

This role focuses on developing algorithms and foundation models for Physical AI in autonomous vehicles. The primary goal is to extract high-fidelity semantic meaning from complex urban edge cases to enrich L4 data lakes, optimize dataset quality for ML acceleration through advanced sensor data processing and auto-labeling, and implement scalable ML systems. The role involves collaboration with platform, product, and security engineering teams.

Senior Software Engineer for Uber's AV Labs, focusing on Physical AI to build autonomy algorithms that extract semantic meaning from driving data for L4 data lake enrichment. Responsibilities include algorithm development, systems architecture, technical leadership, and cross-functional collaboration with ML and platform teams.

Senior ML Engineer at Uber's AV Labs focused on Physical AI, developing autonomy algorithms and models to add semantics to driving data, enrich L4 data lake, and optimize datasets for ML technologies in the autonomous driving domain.

Group Product Manager for Uber's AV Labs, focusing on defining product strategy and roadmaps for technical domains including machine learning and data/validation platforms to accelerate the autonomous technology ecosystem. This role involves translating business goals into product direction, partnering with cross-functional teams, and influencing executive stakeholders.

This role focuses on building the data integrity layer for an L4 autonomous driving data platform, validating and safeguarding the quality of multi-modal sensor streams. It bridges raw robotics telemetry and downstream machine learning, ensuring systems learn from ground truth.

Senior Software Engineer to lead platform architecture for Uber AI Solutions, focusing on building foundational data infrastructure for next-generation AI systems. The role involves designing and delivering scalable backend solutions that integrate human expertise with ML for producing high-quality, model-ready datasets for multimodal and real-world AI use cases.

Senior Program Manager for Uber AI Solutions, focusing on AI training and evaluations for robotics, computer vision, and related fields. The role involves client engagement, presales support, program delivery management, and driving innovation in AI training services. It requires experience in ML operations, data annotation, AI infrastructure, and client-facing service delivery.

Uber's Surge team is hiring a Staff ML Engineer focused on causal inference to build large-scale pricing optimization systems. The role involves training ML models with sparse data, designing experiments, and developing causal models for real-time marketplace conditions. This is a backend role with significant impact on rider experience and driver earnings.