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
Work with a creative team of people who help to build the state-of-the-art: Foundation Models that are used throughout Waymo’s systems, both onboard autonomous vehicles and offboard in simulation
Lead the development of end-to-end evaluation systems and benchmarks for: Waymo Foundation models, encompassing the entire lifecycle from pretraining and supervised fine-tuning (SFT) to reinforcement learning (RL), for evaluating the quality, safety, and realism of embodied AI agents
Partner within and across organizations to land disruptive and innovative tech in production
Implement and extend large large scale data and evaluation pipelines
Master’s degree or PhD degree in Computer Science, similar technical field of: study, or equivalent practical experience
+ years of experience in ML engineering and applied Deep Learning, with a: strong portfolio of shipped products or publication record
What they're looking for
- Experience with large scale distributed system
- Proficient programming skills (eg: Python, C/C++)
- Strong analytical and debugging skills
- ML infra experience: training, evaluating and deploying ML models at scale
