The mission of the Waymo AI Foundations team is to develop machine learning solutions addressing open problems in autonomous driving, towards the goal of 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. AI Foundations areas that we are currently focusing on include reinforcement learning, learning from demonstration, generative modeling, Bayesian inference, hierarchical learning, and robust evaluation.

This role follows a hybrid work schedule and you will report to a Staff Research Scientist.

You will:

• Conduct applied foundation model research and development


• Design compelling experiments by training and evaluating large deep learning models


• Write high quality code, unit tests, and documentation


• Collaborate with other teams to deploy models to production

You have:

• Masters or PhD in deep learning


• Strong statistical / ML knowledge


• Proficiency in Python


• 3+ years of experience with modern deep learning frameworks: JAX, TensorFlow/PyTorch

We prefer:

• C++ experience


• Proven track record of deploying ML models to production environments


• Deep learning experience, especially with generative models, e.g., LLMs/VLMs, and/or reinforcement learning or imitation learning, transformer models, autoencoders and embeddings


• Autonomous driving experience