2027 Summer Intern, PhD, Machine Learning, Computer Vision

About Waymo

Internship Overview

What You Will Do

• Analyze internal feature representations of deep multimodal perception foundation models.
• Validate model performance using large-scale autonomous vehicle sensor datasets and simulation environments.
• Train, fine-tune, and evaluate deep neural networks to improve performance.
• Inspect perception foundation models for signals related to data quality.
• Implement or augment data pipelines to improve data quality.

Required Qualifications

• Currently enrolled in a PhD program in Computer Science, Robotics, Electrical Engineering, or a related quantitative field.
• Experience programming in Python.
• Practical experience training, fine-tuning, and evaluating deep-learning models for computer vision or multimodal perception.
• Solid understanding of modern neural architectures, including Vision Transformers or multimodal sensor encoders.

Preferred Qualifications

• Research experience or publications in multimodal deep learning models or vision foundation models.
• Hands-on experience with multi-camera or 3D LiDAR perception systems in robotics or autonomous driving.
• Experience evaluating large-scale perception systems under practical conditions.

Compensation

• The expected rate is $85 USD per hour for this full-time internship.
• Interns may participate in company benefits programs subject to eligibility requirements.

Application Notes

• Resumes are accepted on a rolling basis until the role is filled.
• Candidates interested in multiple roles must apply to each role individually.