Waymo is looking to develop machine learning solutions to address open problems in autonomous driving, aiming to safely operate Waymo vehicles in numerous cities under all driving conditions.
Requirements
Proficiency in Python
Familiarity with one of the modern deep learning frameworks (e.g. Pytorch, JAX, Tensorflow)
Prior work in an industrial or research setting developing methodologies for post-training for LLM or robotics applications
Track record of publications in top-tier conferences or leading open source projects in the related fields
Strong hands-on SWE skills, able to design, implement, and extend large scale data and evaluation pipelines
Experience in AV planning and related research
Responsibilities
Conduct cutting-edge research and development adapting Foundation Models to AV Planning via post-training techniques: RL, reasoning, preference alignment, inference-time scaling, data and reward function development
Partner within and across organizations to land disruptive and innovative tech in production
Work with a variety of state-of-the-art Foundation Models
Leverage our industry-leading datasets and state-of-the-art safety framework to land fleet-wide improvements in model performance
Other
Masters degree in Computer Science, Machine Learning, Robotics, similar technical field of study, or equivalent practical experience
PhD in Computer Science, Machine Learning, Robotics, similar technical field of study, or equivalent practical experience
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.
