Uber
Machine Learning Engineer II - AV Labs
$171K–$190K
Sunnyvale, California · Full-time · Posted Aug 11, 2026
- Experience
- 2+ years of working experience in the ML/Robotics industry.
- Education
- Bachelor’s degree (or higher) in Computer Science, Computer Engineering, or related fields.
About the job
Develop machine-learning algorithms, foundation models, and scalable systems that extract semantic insights from real-world autonomous-driving data and prepare high-quality datasets for production use.
What you'll do
- Develop algorithms and foundation models to interpret complex urban driving edge cases.
- Build scalable ML systems and manage upstream sensor dependencies; optimize data collection, processing, and auto-labeling.
- Collaborate with platform, product, and security teams to deploy ML techniques into production.
What they ask for
- 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., PyTorch).
Nice to have
- Experience in the Autonomous Driving domain and 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.
Pay
USD $171,000 per year - USD $190,000 per year (base salary)
Tools
Python, Linux, PyTorch, C++
AI focus
Build autonomy algorithms and foundation models for deep scene understanding, data mining, and causal modeling of ego vehicle behavior; enrich driving data with semantics and support dataset auto-labeling.
Model-written summary · the original posting is authoritative