2025 Summer Intern, PhD, Machine Learning Engineer

What you'll do: We're pushing the boundaries of how well our autonomous driving models generalize to new cities and environments. A key challenge is efficiently evaluating performance in diverse scenarios using simulation. You'll contribute to a project that evaluates and improves the performance of simulation agents in new environments, ensuring we effectively measure model robustness in unfamiliar settings. You will work with state of the art foundation models, large datasets, and applying the latest modeling innovations to improve our custom architectures. This high-impact project directly influences how we validate the safety and reliability of our self-driving technology.

Required:

• Enrolled in a PhD program
• Machine learning expertise
• Coding experience in Python
• Jax/Tensorflow/Pytorch ML framework experience,

Preferred:

Jax experience; C++; Experience working with foundational models and/or VLMs/LLMs/transformers, robotics, AV experience