2027 Summer Intern, PhD, Machine Learning, Computer Vision
Core
PhD intern developing deep multimodal perception foundation models for Waymo's autonomous driving system.
Role type
PhD intern, computer vision and deep learning
Builds
Waymo Driver perception models and data pipelines
Domain
Autonomous driving, robotics, computer vision
Deliverable
production ML models
Required skills
Python, deep neural network training and fine-tuning, computer vision, multimodal perception, modern neural architectures (Vision Transformers, multi-modal sensor encoders)
Preferred skills
research experience or publications in multimodal deep learning, multi-camera and 3D LiDAR perception systems, large-scale perception system evaluation
Technologies
PyTorch, JAX, TensorFlow
Responsibilities
Analyze and characterize internal feature representations of deep multimodal perception foundation models, validate model performance on large-scale autonomous vehicle sensor datasets and simulation environments, train and evaluate deep neural networks, inspect perception foundational models to derive signal on data quality, implement or augment data pipelines to improve data quality
Seniority
PhD student, research-focused