Machine Learning Summer Intern (Planning/Prediction, 2027)

Join Waymo, a leader in autonomous driving technology, as a Machine Learning Summer Intern. You will work with the Predictive Planning team to develop and deploy state-of-the-art machine learning solutions that enhance the capabilities of the Waymo Driver. This hybrid internship offers competitive compensation, comprehensive benefits, and the opportunity to make a significant impact in the field of autonomous driving.

Translate open-ended, real-world driving challenges into well-defined machine learning problems, applying cutting-edge techniques, including foundation models and reinforcement learning.

About Waymo

Hands-on experience deploying, evaluating, and maintaining ML-based systems in real-world, production environments

Responsibilities

• Research, implement, and evaluate state-of-the-art generative models for autonomous vehicle planning.
• Develop next-generation, ML-powered systems that enhance the capabilities of the ML driver and accelerate the rapid scaling of Waymo’s business.

Requirements

• If you’re a software engineer or researcher who’s curious and passionate about Level 4 autonomous driving, we'd like to meet you

Proficient programming skills (eg: Python, C/C++)

• Hands-on experience with modern deep learning libraries (eg: TensorFlow, JAX, Pytorch)
• Publications in top-tier conferences such as ICML, NeurIPS, CVPR, ICCV, ECCV, ICLR, IROS, CoRL, ACL, or EMNLP

Preferred

• Currently pursuing an MS or PhD in Computer Science, Machine Learning, Robotics, or a related technical field