Staff Software Engineer, Machine Learning, Perception
As a Staff Software Engineer in Machine Learning, Perception at Waymo, you will apply machine learning techniques to develop multi-modal sensor fusion architectures and spatial-temporal representation learners for autonomous driving. This role involves building scalable recipes for large data and model training, developing methods for distributed fine-tuning, and maintaining model evaluation metrics to improve the performance of perception systems.
The Perception team builds the system which learns the spatial-temporal representation and their semantic meanings of the surrounding environment of the autonomously driving vehicle (ADV), i.e., the system that “perceives” the world around the car. We work jointly with downstream teams on the optimization and integration into the Waymo Driver. We conduct our own research to address real-world problems and collaborate with research teams at Alphabet. We have access to millions of miles of driving data from a diverse set of sensors, enabling engineers like you to (1) develop methods for efficiently and continuously learning from large scale real-world data, to (2) develop models and model training at scale, to (3) analyze real-world behavior and develop systems for handling the complexities of interacting with the real-world, and (4) optimize models for our onboard and offboard hardware.
In this hybrid role you will report to a Technical Lead Manager.
Posted June 12, 2026