2027 Summer Intern, MS/PhD, Machine Learning Engineer - Simulator Realism Evaluation

Highlights

• Build state-of-the-art evaluation tools for simulator realism via ML modeling.
• Design statistical experiments to test efficacy of ML discriminators.
• Partner directly with industry leaders on projects that impact Waymo Driver.

What they offer

• Eligible to participate in generous benefits programs

Ideal candidate

Graduate student passionate about autonomous driving and physical AI who enjoys ML experimentation, statistical evaluation, and collaborating across teams to improve simulation realism and safety.

Requirements

• Enrolled in a Master's or PhD program in Computer Science, Computer Engineering, Electrical Engineering, Systems Engineering, Robotics or related field
• Proficiency in software development using C++ or Python
• Solid foundation in core computer science concepts including data structures, algorithms and object-oriented design
• Solid foundation in ML and statistics models, algorithms and libraries
• Knowledge of software systems including distributed systems and accelerated computing
• Interest in autonomous driving, simulation, evaluation and physical AI