2027 Summer Intern, PhD, Machine Learning, Computer Vision
Core
PhD intern developing deep multimodal perception foundation models and active learning algorithms for Waymo's autonomous driving system.
Role type
PhD intern, machine learning (computer vision)
Builds
Waymo Driver autonomous driving software
Domain
Autonomous driving, robotics, deep learning
Deliverable
production ML models
Required skills
Python, C++, deep neural network training and fine-tuning, computer vision, multimodal perception, Vision Transformers, multi-modal sensor encoders
Preferred skills
active learning, self-supervised representation learning, core-set selection, multi-modal foundation models (VLMs), multi-camera or 3D LiDAR perception systems, VLM evaluation pipelines, high-dimensional feature analysis, clustering techniques
Technologies
PyTorch, JAX, TensorFlow
Responsibilities
Analyze and characterize internal feature representations of deep multimodal perception foundation models; Design and implement active learning and intelligent data curation algorithms; Explore automated data labeling and validation workflows using Vision-Language Models; Train, fine-tune, and evaluate deep neural networks; Validate model performance on large-scale sensor datasets and simulation environments
Seniority
PhD student, hands-on IC