ML Engineer Intern: Simulator Realism & Evaluation (MS/PhD)

Waymo LLC; San Francisco (CA); Hybrid; USD 96,000 - 117,000; Full time

Benefits offered by this job

Hybrid onsite internship

Internship benefits

Job summary

Waymo LLC in San Francisco is seeking a graduate student intern to advance ML modeling, evaluation, and software development for our autonomous driving research efforts.

You will work with C++ or Python, applying ML and statistics to evaluate perception and decision-making systems within our simulator and real-world tests. This hybrid onsite internship offers hands-on collaboration across teams and competitive hourly pay.

Qualifications

• 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.

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.

Skills

C++

Python

Data structures & algorithms

Object-oriented design

ML & statistics

Distributed systems

Autonomous driving interest

Education

Graduate program (MS/PhD) in CS/CE/EE/Robotics

Tools

SQL

Job description

Waymo LLC in San Francisco is seeking a graduate student intern to advance ML modeling, evaluation, and software development for our autonomous driving research efforts.

You will work with C++ or Python, applying ML and statistics to evaluate perception and decision-making systems within our simulator and real-world tests. This hybrid onsite internship offers hands-on collaboration across teams and competitive hourly pay.