Machine Learning Engineer II - Semantics, 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 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 be responsible for the development and implementation of the latest machine learning techniques that enables better data mining, deep scene understanding, and causal modeling of ego vehicle behavior .

The ideal candidate will be able to identify complex edge cases, provide robust algorithmic solutions, and set a high technical excellence bar.

What You Will Do

Develop algorithms and foundation models that extract high-fidelity semantic meaning from complex urban edge cases to enrich our L4 data lake . System Design: Implement scalable ML systems, including management of upstream sensor dependencies. Dataset Optimization: Deliver high-quality datasets to accelerate ML technologies through advanced sensor data collection, processing, and auto-labeling.

Cross-Functional Collaboration: Partner with platform, product, and security engineering teams to enable the successful deployment of the latest machine learning techniques into production.

Basic Qualifications

2+ years of working experience in the ML/Robotics industry. Bachelor’s degree (or higher) in Computer Science, Computer Engineering, or related fields. Proficient in Python and Linux environments. Familiar with modern AI/ML frameworks (e.g., Py. Torch).

Preferred Qualifications

Experience in the Autonomous Driving domain. Proven track record of deploying ML models in safety-critical physical systems. Master’s or PhD degree in Computer Vision, Robotics, or Machine Learning. Familiarity with C++ and high-performance computing. For Sunnyvale, CA-based roles: The base salary range for this role is USD $171,000 per year

• USD $190,000 per year. You will be eligible to participate in Uber's bonus program, and may be offered an equity award & other types of comp. All full-time employees are eligible to participate in a 401(k) plan. You will also be eligible for various benefits.