2027 Summer Intern, PhD, Research, RSI for Autonomous Driving

Job description

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.

Waymo interns partner with leaders in the industry on projects that create impact to the company.

Waymo is an autonomous driving technology company with…

Job responsibilities

Literature research of SOTA in RSI, physics AI foundational models, autonomous driving foundational models, World Action models and connect the SOTA to their research projects to improve driver quality
Design new data and post-training recipe to RL the driver with the critic model and world model in a close loop setup
Coding and implementing the RSI system
Inspect training results and ablation studies to iterate the algorithm design

Job requirements

Currently pursuing a PhD in Computer Science, Robotics, Machine Learning, or a related quantitative field
Depth in foundational AI model post-training, especially RL
Fluency in using AI coding agents, fluency in one of the RL training framework such as Rex, Verl, NeMo-RL
Fluency in AI model training basics such as transformer architecture, hyperparameter tuning, overfitting debug
Familiarity with autonomous driving, physics AI, VLA, or world models

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