Staff Software Engineer - ML AV Labs

About the role

Uber is launching AV Labs to accelerate the autonomous technology ecosystem. We're building out a high-velocity team of multi-disciplinary experts to turn real-world operations into high-quality data for our autonomous partners. This team is focused on the hardest problem in AV today: unlocking real-world, long-tail driving data.

Autonomy is now a data race-and Uber has an edge: We collect rare, real-world driving data at a scale and capital efficiency no one else can match. As a Staff ML Engineer, you will be at the forefront of Physical AI, building advanced autonomy algorithms and models to add rich semantics to our massive driving data. You will set the technical direction for the development and implementation of machine learning techniques that enables better data mining, deep scene understanding, and causal modeling of ego vehicle behavior.

You aren't just solving known problems; you are identifying the next generation of challenges in AV, designing the architectural foundations to solve them, and raising the bar for technical excellence across the entire engineering organization. What the Candidate Will Do Set the technical roadmap and lead the delivery of state-of-the-art Machine Learning systems: Algorithm Development: Lead the strategy for development of autonomy algorithms and foundation models that extract high-fidelity semantic meaning from complex urban edge cases to enrich our L4 data lake.