2027 Summer Intern

About the Role

Waymo is an autonomous driving technology company. As a PhD intern in Machine Learning and Computer Vision, you will partner with industry leaders on projects that create impact for the company. We believe learning is a two-way street, offering opportunities to expand your skill-set. Interns are an important part of our culture and recruiting pipeline.

Key Responsibilities

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

Requirements & Tech Stack

• Currently enrolled in a PhD program in Computer Science, Robotics, Electrical Engineering, or a related technical field.
• Experience programming in Python.
• Practical experience training, fine-tuning, and evaluating deep learning models for computer vision or multimodal perception (e.g., using PyTorch, JAX, or TensorFlow).
• Solid understanding of modern neural architectures (e.g., Vision Transformers, multi modal sensor encoders).

Preferred Qualifications

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

Note: This will be a hybrid onsite internship position.

Hourly PhD Pay: $85—$85 USD