2027 Summer Intern, PhD, Perception/Road Understanding, ML Engineer

Public source summary from intern-list.com / Jobright.

Waymo is an autonomous driving technology company developing the Waymo Driver for fully autonomous mobility. The company is seeking a PhD Machine Learning Engineering Intern to build lane geometry and topology understanding models, run training pipelines across vehicle sensor modalities, and collaborate with research and engineering teams on planning impact and deployment.

Responsibilities

Designing and Building Machine Learning Models: Writing clean, high-performance code to implement core algorithms for lane geometry and topology understanding Running Experiments and Training Pipelines: Setting up data pipelines and training neural networks across vehicle sensor modalities and map priors, with advanced training techniques Cross-Functional Collaboration: Partnering closely with research mentors, buddy, and upstream/downstream engineering teams to evaluate downstream planning impact and package insights for publication or internal deployment

Qualifications: Currently pursuing a PhD in Computer Vision, Robotics, Electrical Engineering, Machine Learning, or a related quantitative discipline Strong programming proficiency in Python and solid experience with modern deep learning frameworks (e.g., PyTorch or TensorFlow) Hands-on experience designing, training, and debugging deep learning architectures for Computer Vision, 3D Perception, or Graph Neural Networks (e.g., Transformers, query based detectors, GNNs, or BEV perception) Solid foundational knowledge of 2D/3D geometry, coordinate transformations, and spatial/relational reasoning Track record of publications in top-tier conferences in machine learning, computer vision, or robotics (e.g., CVPR, ICCV, ECCV, NeurIPS, ICLR, ICML, ICRA, CoRL, AAAI) Experience with vectorized HD map learning, lane topology estimation, or dynamic roadgraph modeling Experience with large-scale distributed model training and data infrastructure Familiarity with autonomous vehicle perception stacks, sensor fusion (camera, LiDAR)

Benefits: Interns are also eligible to participate in the Company’s generous benefits programs, subject to eligibility requirements. Hybrid onsite internship position