Senior Machine Learning Engineer, Multimodal Perception (LLM/VLM)
Waymo · Mountain View, CA · Perception (7LT)
About this role
Waymo is hiring a senior-level Machine Learning Engineer based in Mountain View, CA. The posting calls out experience with Python, PyTorch, Computer Vision, Reinforcement Learning. Compensation is listed at $213,000–$263,000 per year.
- Role
- Machine Learning Engineer
- Function
- machine learning
- Level
- senior
- Track
- Individual contributor
- Employment
- Full-time
- Location
- Mountain View, CA
- Department
- Perception (7LT)
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.
The Semantics team is a specialized subgroup within the Perception organization at Waymo. Our mission is to bring the immense reasoning power and innate world knowledge of massive foundation models directly onto the Waymo Driver. We focus on building an onboard multi-task, multimodal perception model designed to tackle highly complex and unpredictable "long-tail" scenarios.
You Will:
- Architect and train large-scale, onboard ML perception models that are instrumental to ensuring vehicle safety and regulatory compliance.
- Drive cross-functional collaboration to engineer robust, high-reliability training pipelines within a dynamic, rapid-delivery environment.
- Leverage deep computer vision expertise to design novel, custom architectures from first principles to solve complex perception challenges.