Waymo
2027 Summer Intern, MS/PhD, Machine Learning Engineer - Simulator Realism Evaluation
San Francisco, California, United States$145.6k–$176.4kinternshipinternAdded today
About this role
Waymo is seeking MS/PhD graduate students to intern as Machine Learning Engineers focused on simulator realism evaluation for autonomous driving. You'll develop ML-based evaluation tools, conduct experiments within Waymo's simulator, and collaborate across teams to advance safety and simulation technology.
What you'll do
- Conduct ML modeling experiments and prototyping to build evaluation tools for simulator realism
- Write code within Waymo's simulator and evaluation systems
- Design and execute statistical experiments to validate ML discriminator effectiveness
- Collaborate cross-functionally with onboard teams and safety/simulation stakeholders
- Contribute to autonomous driving perception and decision-making systems
What they're looking for
- C++ or Python software development
- Machine learning and statistics
- Data structures and algorithms
- Distributed systems and accelerated computing
- Software systems design
- SQL (preferred)
- Physics or robotics knowledge (preferred)
- Technical communication and collaboration
Benefits
- Hybrid onsite internship in San Francisco
- Eligible to participate in company benefits programs
- Mentorship from autonomous driving industry leaders
- Hands-on experience with cutting-edge AV technology
- Potential pathway into full-time recruiting pipeline
Opens the official application on the employer’s site. No login required.
Waymo
Waymo develops autonomous driving technology and vehicles, building the AI systems, simulation platforms, and infrastructure that power the Waymo Driver. The company is hiring for ML infrastructure engineers, platform engineers, labeling system developers, backend software engineers, and automotive systems engineers to scale its autonomous driving capabilities.
- Website
- waymo.com
Likely interview questions
- Walk us through a machine learning project where you designed experiments to validate model performance.
- How would you approach evaluating whether a simulator accurately reflects real-world driving scenarios?