Machine Learning Engineer Intern, Simulation

Zoox’s internship program provides hands-on experiences with state of the art technology, mentorship from some of the industry's brightest minds, and the opportunity to play a part in our success. Internships at Zoox are reserved for those who demonstrate outstanding academic performance, activities outside their course work, aptitude, curiosity, and a passion for Zoox's mission.   The Simulation team creates high fidelity synthetic data for training and testing autonomous vehicle AI, as well as real time sensor data for hardware-in-the-loop simulation. Zoox vehicles are deployed in many cities across the US, and wherever Zoox goes, Simulation makes sure we are good to go.   On the Agent Simulation team, you will develop and improve models that realistically simulate the behavior of other road agents like pedestrians and vehicles. You will leverage software engineering and machine learning skills to ensure these simulated agents exhibit a wide range of plausible and representative human behaviors, which is critical for validating the safety and performance of Zoox's autonomous driving technology. Requirements:

Currently working towards a B.S., M.S., Ph.D., or advanced degree in a relevant engineering program

Must be returning to school to continue your education upon completing this internship

Good academic standing

Able to commit to a 12-week internship beginning in May or June of 2026.

At least one previous industry internship, co-op, or project completed in a relevant area

Ability to relocate to the Bay Area, California or Seattle for the duration of the internship

Interns at Zoox may not use any proprietary information they are working on as part of their thesis, any published work with their university, or to be distributed to anyone outside of Zoox

Qualifications:

Fluency in C++ and/or Python, as well as a strong understanding of data structures and algorithms

Strong understanding of generative AI techniques including diffusion, GAN, and transformers

Strong skills in mathematics, particularly linear algebra

Experience with large-scale code projects

Bonus Qualifications:

Experience with game development or simulation frameworks used in robotics

Experience with 3D game logic