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.

In this hybrid role, you will report to a Staff Research Scientist

You will:

• Extend and fine-tuning existing large vision-language models
• Build datasets, training infrastructure, and mixture of training for driving specific tasks (trajectory planning and rationale, spatial reasoning, semantic understanding)
• Use language to model the driving rationale and environment context
• Research evaluation of a driving system

You have:

• In-depth knowledge of designing and training large language models and multi-modal applications
• 3+ years of experience training generative models networks at scale
• 3+ years of experience in large-scale distributed training and optimization
• Background in publications in top-tier conferences in the related fields
• PhD or equivalent years of experience

We prefer:

• Experience in autonomous vehicles or motion planning
• Experience transferring research findings into products
• Proficiency in C++