Senior Machine Learning Engineer, Computer Vision/VLM
Waymo · Mountain View, CA | San Francisco, CA · Perception (7LT)
About this role
Waymo is hiring a senior-level Machine Learning Engineer based in Mountain View, CA | San Francisco, CA (hybrid). The posting calls out experience with Python, TensorFlow, PyTorch, LLMs and roughly 4+ years of relevant work. Listed education preference: a master's degree or equivalent. Compensation is listed at $204,000–$259,000 per year.
- Role
- Machine Learning Engineer
- Function
- machine learning
- Level
- senior
- Track
- Individual contributor
- Employment
- Full-time
- Location
- Mountain View, CA | San Francisco, CA
- Work mode
- Hybrid
- Experience
- 4+ years
- Education
- Master's degree
- 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.
In Semantics, our team's mission is to create the highest-fidelity, most comprehensive offboard perception autolabels at a massive scale, serving as the foundation for training and validating the AV stack. We are an advanced ML and engineering team that leverages state-of-the-art computer vision, deep learning, and generative AI to automatically analyze driving logs, generate rich scene understanding, and power the data engine that enables Waymo to scale safely and efficiently.
In this hybrid role, you will report to a Technical Lead Manager.
You will:
- Develop and train state-of-the-art computer vision / multimodal models (e.g., Gemini) to extract the rich semantic information (e.g., object attributes, scene properties, interaction dynamics) required by the AI agent.