Staff Software Engineer, Machine Learning Simulation Full-time

Waymo is an autonomous driving technology company with the mission to be the 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 One, a fully autonomous ride-hailing service, and can also be applied to a range of vehicle platforms and product use cases. The Waymo Driver has provided over one million rider-only trips, enabled by its experience autonomously driving tens of millions of miles on public roads and tens of billions in simulation across 13+ U.S. states.

Our mission within the Driver Understanding and Evaluation (DUE) team at Waymo is to develop rich metrics for understanding the behavior of the Waymo Driver in the real world.

In this hybrid role, you will report to a Software Engineering Manager.

You will:

• Lead the development and optimization of the latest computer vision algorithms and machine learning models to enhance human-led evaluation and introduce automation for high-volume workflows
• Guide technical direction, and provide technical inputs and guidance to the team
• Collaborate with multiple teams (e.g., Prediction, Planning, Research, PMs, TPMs) and senior leadership across Waymo to achieve important strategic efforts

You have:

• B.S. in Computer Science, Robotics, Machine Learning, similar technical field of study, or equivalent practical experience
• Coding experience in C++ or Python.
• Experience in at least one of: Computer Vision, Foundational Models, NLP, or Robotics.
• 5+ years hands-on of experience in computer vision and machine learning projects
• Experience with ML frameworks such as TensorFlow, PyTorch, Hugging Face’s transformers, along with expertise in deep learning models and ML deployment at scale

We prefer:

• M.S. degree Computer Science or related quantitative field with a specialization of machine learning
• Experience with building tools for applied machine learning, including MLOps, evaluation/validation techniques, and model performance optimization
• Large-scale data processing and experience building scalable, resilient, and observable distributed systems

#LI-Hybrid

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.

Salary Range

$226,000 – $286,000 USD