Zoox - Machine Learning Engineer Intern (Ph.D), Perception

• 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 Boston 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 (It’s helpful if you meet a majority of the following qualifications, but it isn’t a requirement): • Advanced understanding of Python or C++ (C++ preferred) • Experience with production ML pipelines: dataset creation, labeling, training, metrics • Experience training/finetuning MLLMs or at least MLLms (SFT/RL) • Experience with model deployment with TensorRT • Experience with Neural Network design and implementation • Experience working with LiDAR, Camera and Radar data • Experience with building and processing large scale dataset • Experience with multimodal foundation model optimization techniques • Experience in algorithm development for Autonomous Driving software