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
Apply machine learning techniques to build multi-modal sensor fusion: architectures and spatial-temporal representation learners for object detection and tracking, occupancy and semantic segmentation, road understanding, etc.
Develop scalable recipes for large data, large model training running on: Alphabet’s compute infrastructure, create methods and recipes for pre-training and post-training.
Develop methods and recipes for distributed fine-tuning enabling multiple: developers to simultaneously improve the model, develop methods and recipes to avoid regression against a production system.
Develop and maintain model evaluation recipes and metrics for measuring and: improving performance of pre-trained and fine-tuned models
Bachelors in Computer Science or a similar discipline, or an equivalent amount of deep learning experience
+ years experience in Machine Learning and/or Computer Vision
What they're looking for
- Experience with Python
- Experience with ML frameworks like PyTorch or JAX
- MS or PhD Degree in Machine Learning, Robotics, Computer Science or a similar discipline
- Publications at top-tier conferences like CVPR, ICCV, ECCV, ICLR, ICML, ICRA,: IROS, RSS, NeurIPS, AAAI, IJCV, PAMI
