About the job
As Principal Software Engineer Post Training, you will play a key role in advancing the technology to power the Waymo Driver and especially help it scale to dramatically more miles and locations across the world. Your primary responsibility will be to develop and lead a strategy of a next-generation post-training system on top of existing large-scale models (whose development this role will also influence). Post training is already used in the onboard software system, but we believe that there is a significant opportunity to advance its impact, in line with the advancements within the AI community in other applications. Your role would be to figure out how to accomplish that goal in the challenging, highly impactful problem of autonomously driving a vehicle in the real world at large scale.
Responsibilities
Advance the state-of-the-art post-training techniques in the AI running on board the autonomous vehicle
Keep up with post-training research and find the right applications for the unique problems at Waymo
Participate in the leadership community advancing the ML stack across Waymo in general
Partner with teams developing ML platforms to develop them for effective, scalable post-training
Partner with teams not yet using post-training effectively to understand their needs and guide them to effective post-training strategies
Qualifications
Minimum
MS in computer science with an emphasis in machine learning or equivalent degree (PhD preferred)
10+ years of leadership experience in a large-scale machine learned production system
Experience leading a post-training system that is used in production with 100M+ users, solving multiple targeted problems in parallel
Experience building metrics, data, and flywheels for post-training applications
Experience influencing without authority at the director and VP level or higher
An ability to balance influencing day-to-day leadership on the ground with developing and influencing engineering strategy
Preferred
Experience building a post-training platform from scratch
Experience with utilizing ML in AV and/or other robotics applications