Senior Machine Learning Software Engineer

Waymo, formerly the Google Self-Driving Car Project, is at the forefront of autonomous driving technology. As a Senior Machine Learning Software Engineer on the Driver Understanding and Evaluation team, you'll play a crucial role in developing a deep understanding of the Waymo Driver's behavior. With over 1 million driverless miles logged weekly, your work will be essential in assessing vehicle performance both in real-world conditions and simulations.

The Learned Metrics team represents a strategic initiative to scale Waymo's capabilities through machine learning. You'll be working on what essentially serves as Waymo's reward function, combining expert human judgment with advanced ML models to evaluate and improve the autonomous driving system. The role involves building and maintaining large-scale ML systems, simulation workflows, and analytical tools.

The position offers competitive compensation ranging from $204,000 to $259,000, along with comprehensive benefits including medical, dental, and vision insurance, mental wellness support, and equity opportunities. You'll be working in either Mountain View, CA or New York City, NY, collaborating with cross-functional teams to bring state-of-the-art ML solutions to production.

The ideal candidate should have at least 2 years of experience building production ML models, strong coding skills in Python and C++, and a background in applied Deep Learning. You'll be joining a company that has provided over one million rider-only trips and has autonomously driven tens of millions of miles across 13+ U.S. states. This is an opportunity to work on cutting-edge technology that aims to improve mobility while saving thousands of lives currently lost to traffic accidents.