The mission of the Waymo Applied Research team is to develop machine learning solutions addressing open problems in autonomous driving, towards the goal of the safely operating Waymo vehicles in dozens of cities and under all driving conditions. As part of our work, we also initiate and foster collaborations with other research teams in Alphabet.

This hybrid role, you will report to a Director of Research.

You will:

• Plan and implement a Machine Learning driven AV planner research agenda
• Incorporate and extend research in robotics and machine learning to promote the state-of-the-art for high-level planning for autonomous vehicles, with advanced techniques in foundation modeling, reinforcement learning and search
• Manage and technically lead a team of research scientists as they grow in their careers
• Partner across our organizations to land tech in production
• Publish work at top-tier academic venues

You have:

• Bachelor's degree Computer Science, Machine Learning, Robotics, similar technical field of study, or equivalent practical experience
• 10+ years of experience developing or doing research in deep learning-based systems for robotics, involving dataset, evaluation, and model design.
• 5+ years of experience managing a team
• Proficiency in Python
• Hands-on experience developing modern deep learning architectures and training

We prefer:

• Masters or PhD, preferably in Machine Learning domain
• Publications in top-tier conferences or leading open source projects in the related fields
• Hands-on SWE skills, able to implement or extend large-scale data and evaluation pipelines
• Proficiency in C++
• Proficiency in one or more deep learning frameworks
• Experience in AV planning and related research

#LI-Hybrid