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

Responsibilities

• Conduct ML modeling experiments and prototyping to build state-of-the-art evaluation tools.
• Write code within Waymo’s simulator and evaluation systems.
• Design statistical experiments to evaluate the efficacy of ML discriminators.
• Collaborate across organizations to deliver impact to both onboard teams and downstream safety and simulation technology launch stakeholders.

Requirements

• Enrolled in a graduate program (Master's or PhD) in Computer Science, Computer Engineering, Electrical Engineering, Systems Engineering, Robotics, or a related technical field.
• Proficiency in software development using C++ or Python.
• Solid foundation in core computer science concepts (data structures, algorithms, 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.

Preferred

• Knowledge/prior experience with physical systems (physics, robotics, physical AI).

We prefer

Proficiency in SQL.

Strong written/verbal communication and cross-functional collaboration skills.

Note: This will be a hybrid onsite internship position. We will accept resumes on a rolling basis until the role is filled. To be in consideration for multiple roles, you will need to apply to each one individually - please apply to the top 3 roles you are interested in.

The expected hourly rate for this full-time position is listed below. Interns are also eligible to participate in the Company’s generous benefits programs, subject to eligibility requirements.

Hourly Masters Pay

• $70
• $70 USD
• The expected hourly rate for this full-time position is listed below. Interns are also eligible to participate in the Company’s generous benefits programs, subject to eligibility requirements.

Hourly PhD Pay

• $85
• $85 USD