About the job
Waymo is an autonomous driving technology company with the mission to be the world's most trusted driver. The Driver Understanding and Evaluation team at Waymo develops a rich understanding of Waymo Driver's behavior. The learned metrics team uses machine learning to ensure we can scale to meet Waymo's goals. We build and operate large-scale machine learning and data systems, simulation workflows, and insight tools. We are looking for researchers and software engineers who are passionate about developing production grade machine learning systems for our autonomous vehicles.
Responsibilities
Develop ML models that assess our autonomous vehicle's behavior.
Develop ML infrastructure to support performant models.
Collaborate across teams to bring state-of-the-art to production.
Qualifications
Minimum
BS in Computer Science, Robotics, Statistics, Physics, Math or another quantitative area, or equivalent work experience
4+ years of experience building productionized ML models
Code and design skills: comfort building production systems (Python / C++)
Background in applied Deep Learning
A track record in improving model quality
Preferred
6+ years of experience building productionized ML models
Experience in reinforcement learning, transfer learning, or learning.
Experience with large scale data and models