2027 Summer Intern, MS/PhD, Perception, Evaluation

Highlights

• Improve quality and reliability of large-scale perception evaluation workflows.
• Expand discovery evaluation to cover a broader range of perception signals.
• Help evaluate multi-task perception models powering the Waymo Driver.

Ideal candidate

A Master's or PhD student passionate about self-driving and real-world ML who enjoys digging into data, questioning evaluation quality, and building reliable systems that help perception models improve at scale.

Requirements

• Proficiency with coding in Python or C++ and navigating large codebases
• Experience building and/or evaluating machine learning models
• Experience with data analysis and statistical evaluation
• Enrolled in a Masters or PhD in Computer Science, Robotics or similar field