Principal Machine Learning Engineer - AV Labs

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 Principal 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 developing state-of-the-art machine learning that enables better data mining, deep scene understanding, and causal modeling of ego vehicle behavior. You aren't just solving known problems; you are architecting the intelligence behind our L4 data and evaluation engine. You will collaborate with engineers across big data, compute, and cloud engineering to build platforms that harness scale and real-world complexity to reimagine how the world moves.

- Lead the strategy for developing autonomy algorithms and foundation models that extract high-fidelity semantic meaning from complex urban edge cases to enrich our L4 data lake

- Provide the overarching technical vision for multi-modal scene understanding and modeling the causality behind ego vehicle behaviors from logged data. You will lead the design of state-of-the-art models to achieve highly accurate, real-world interpretation of the data. By understanding the 'why' behind driving decisions in complex scenarios, you will spearhead the creation of a comprehensive, highly structured taxonomy for our autonomous database, creating the ultimate data mining engine that empowers partners to query and extract precise edge cases

- Mentor senior and lead engineers, fostering a culture of rigorous experimentation and engineering excellence. You will influence the technical direction of multiple teams

- Act as a bridge between AV Labs and other Uber engineering units to ensure our semantic models and data evaluation platforms are successfully integrated and deployed at scale