The opportunity
Waymo is an autonomous driving technology company with the mission to be the world's most trusted driver. Since its start as the Google Self-Driving Car Project in 2009, Waymo has focused on building the Waymo Driver—The World's Most Experienced Driver™—to improve access to…
What you'll do
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 model to derive signal on data quality.
Implement or augment data pipeline to improve data quality.
Currently enrolled in a PhD program in Computer Science, Robotics, Electrical: Engineering, or a related quantitative field.
What they're looking for
- 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).
- Research experience or publications in multimodal deep learning models, or vision foundational models.
