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 mobility while saving thousands of lives now lost to traffic crashes. The Waymo Driver powers Waymo’s fully autonomous ride-hail service and can also be applied to a range of vehicle platforms and product use cases. The Waymo Driver has provided over ten million rider-only trips, enabled by its experience autonomously driving over 100 million miles on public roads and tens of billions in simulation across 15+ U.S. states.
The Perception team at Waymo builds technology that powers the Waymo Driver. Our models allow the Waymo Driver to perceive the world around it, make the right decision for every situation, and deliver people safely to their destinations. We conduct research to address real-world problems and collaborate with research teams at Alphabet. We have access to millions of miles of driving data from a diverse set of sensors, allowing ML practitioners like you to develop multi-modal models and techniques at scale.
In this hybrid role, you will report to our Senior Director of Engineering, Perception.
You will:
Work closely with Onboard model engineers on rapid prototyping and experiments, to verify model design and training recipes, before decision to productionize
Whenever needed, prototype the necessary infrastructure (data, eval) to enable model experimentation
Drive post-training technology roadmap (e.g., RL techniques) and training recipe roadmap
Drive and contribute to the production rollout of major model architecture and recipe evolutions, to solve a variety of behavior contexts
Build and facilitate strong collaborations between Onboard and research teams across Waymo and Alphabet
Work closely with Onboard and collaborators to build and continuously evolve the post-training recipe roadmap, with milestones towards strong capability goals and continuous production impact
You have:
Remaining technical and hands-on, either currently as an individual contributor, or leading a small team
Actively writes code, reviews code, and runs experiments
Hands-on experience in post-training techniques, e.g., RL and SFT
Experience in at least one of Robotics, VLA, VLM. Strong in both theoretical and practical understanding in model architectures and training techniques; built SOTA models; built / extremely familiar with the entire model development process
Production driven experience and mindset - problem driven, strong ownership on quality and timely delivery, rigor in evaluation
Organizational awareness, extremely collaborative, strong communication, focus on value add to the company and to the team
We prefer:
Experienced at model optimization, model-compute codesign
Experienced at driving cross-org efforts in transitioning large systems through major evolutions
Experienced at modern ML data, training, and inference systems for large models
Strong track record coaching and growing engineers and leaders
Domain experience in either robotics or AV
The expected base salary range for this full-time position across US locations is listed below. Actual starting pay will be based on job-related factors, including exact work location, experience, relevant training and education, and skill level. Your recruiter can share more about the specific salary range for the role location or, if the role can be performed remote, the specific salary range for your preferred location, during the hiring process.
Waymo employees are also eligible to participate in Waymo’s discretionary annual bonus program, equity incentive plan, and generous Company benefits program, subject to eligibility requirements.