2027 Summer Intern, PhD, Machine Learning, Computer Vision

Sourced from careers.withwaymo.com

Waymo is seeking a PhD intern to work on the brains of its autonomous driving technology. The role focuses on analyzing deep multimodal perception foundation models and validating performance on large-scale sensor datasets. You will train, fine-tune, and evaluate deep neural networks to improve model accuracy and data quality.

• 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, fine-tune, and evaluate deep neural networks to improve model performance
• Inspect perception foundational models to derive signal on data quality
• Implement or augment data pipelines to improve data quality

• Currently enrolled in a PhD program in Computer Science, Robotics, Electrical Engineering, or a related quantitative field
• Experience programming in Python
• Practical experience training, fine-tuning, and evaluating deep learning models for computer vision or multimodal perception (e.g., using PyTorch, JAX, or TensorFlow)
• Solid understanding of modern neural architectures (e.g., Vision Transformers, multi-modal sensor encoders)