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
Research and develop novel visual and spatio-temporal reasoning methods for: multimodal Perception Foundation Models using AV sensor data
Design and implement post-training recipes—including Supervised Fine-Tuning: (SFT) and Reinforcement Learning (RL)—to improve perception generalization in long-tail autonomous driving scenarios
Conduct large-scale experiments and ablation studies on autonomous driving: benchmarks, with the opportunity to publish findings at top-tier AI/CV conferences (e.g., CVPR/ICCV/ECCV/NeurIPS/ICLR/ICML)
Currently pursuing a PhD in Computer Science, Machine Learning, Robotics,: Electrical Engineering or a related technical field
Hands-on experience & strong publications in perception, and/or LLM/VLM
Knowledge of pre-training and post-training of the large foundation models
What they're looking for
- Strong Python coding skills with expertise in modern deep learning frameworks (e.g., PyTorch, JAX, TensorFlow)
- Experience with visual reasoning for LLM/VLM/robotics/driving
- Experience with RL training in LLM/VLM/robotics
- Experience with open-vocabulary perception
