Senior Staff Machine Learning Engineer, Simulation
Waymo · Mountain View, CA | San Francisco, CA | New York City, NY · Simulation (7XW)
About this role
Waymo is hiring a senior-level Machine Learning Engineer based in Mountain View, CA | San Francisco, CA | New York City, NY (hybrid). The posting calls out experience with Python, TensorFlow, Deep Learning, Reinforcement Learning and roughly 7+ years of relevant work. Listed education preference: a Ph.D. or equivalent. Compensation is listed at $281,000–$356,000 per year.
- Role
- Machine Learning Engineer
- Function
- machine learning
- Level
- senior
- Track
- Tech leadership
- Employment
- Full-time
- Location
- Mountain View, CA | San Francisco, CA | New York City, NY
- Work mode
- Hybrid
- Experience
- 7+ years
- Education
- Ph.D. preferred
- Department
- Simulation (7XW)
More roles at Waymo
Job description
from Waymo careersWaymo 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.
In this hybrid role, you will report to the Sr. Staff Manager.
You will:
- Scale the development of machine learning-based metrics and eval datasets at Waymo with a mixture of strategic and hands-on contributions to solve our toughest evaluation problems
- Address novel evaluation problems by contributing core improvements to our ML models and training regimes.
- Develop and execute a strategy to democratize ML-based development and deployment of metrics and datasets across Waymo by improvements to modeling, mining, training, analysis, and deployment tools.
- Train large, offboard models to generate “ideal” references against which to measure on-vehicle driving.