Senior ML Engineer, Autonomous Driving at Scale

Uber; Sunnyvale (CA); On-site; USD 202,000 - 224,000; Full time

Benefits offered by this job

Bonus program

Equity award

401(k) plan

Benefits

Job summary

Uber’s Autonomous Vehicles Labs in Sunnyvale, CA, seeks a Senior ML Engineer to advance Physical AI and the autonomy stack. You will develop core ML components for autonomous driving systems, addressing real-world data challenges and ensuring safety and robustness.

You will collaborate with data, compute, and cloud teams to build scalable ML platforms, lead end-to-end AI implementations, and optimize datasets for production use. Proficiency in Python, Linux, PyTorch, and C++ HPC is highly valued.

Qualifications

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

Responsibilities

• Autonomous Driving Algorithm Development: Lead the development of algorithms to tackle complex urban environments, focusing on robustness and safety.
• End-to-End AI Implementation: Implement end-to-end AI-driven state-of-the-art methods for autonomy pipelines, leveraging massive-scale real-world data.
• Systems Architecture Design: Architect scalable ML systems, including management of upstream sensor dependencies.
• Technical Leadership: Partner with fellow engineers to architect, design, and build scalable solutions for ML technology that can stand the test of scale and availability.
• 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.

Skills

4+ years ML/Robotics experience

Python

Linux

PyTorch

Education

Bachelor’s degree in CS/CE or related fields

Master’s or PhD in Computer Vision, Robotics, or ML

Tools

C++

High-performance computing

Job description

Uber’s Autonomous Vehicles Labs in Sunnyvale, CA, seeks a Senior ML Engineer to advance Physical AI and the autonomy stack. You will develop core ML components for autonomous driving systems, addressing real-world data challenges and ensuring safety and robustness.

You will collaborate with data, compute, and cloud teams to build scalable ML platforms, lead end-to-end AI implementations, and optimize datasets for production use. Proficiency in Python, Linux, PyTorch, and C++ HPC is highly valued.