Research Scientist, Perception Foundation Model

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 Senior Research Scientist.

You will:

• Explore new ideas for perception foundation models related to neural networks, sensor fusion, temporal fusion, learning, VLM/LLM, etc.
• Design experiments and training deep neural networks.
• Build dataset and training infrastructure for foundation models.
• Exploring scaling properties for large foundation models.
• Collaborate with other teams to ship products.

You have:

• In-depth knowledge of designing and training large models and multi-modal applications.
• 1+ years of experience training generative models networks at scale.
• 1+ 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 Computer Vision, Perception, or Autonomous Vehicles.
• Proficiency in Python.