2027 Summer Intern, MS/PhD, Research, Perception Foundation Models

You will:

• Research, implement, and evaluate zero shot object detection models for autonomous driving
• Collaborate with research and engineering teams to improve Waymo’s foundation models
• Conduct cutting-edge research and potentially communicate research findings to the wider academic community via technical reports and/or publications

You have:

• Currently pursuing a Masters or Ph.D. in Computer Science, Robotics, Machine Learning, Electrical Engineering, or a related field
• Strong publication record in top-tier AI/ML or robotics conferences
• Hands-on experience training and evaluating deep learning models for autonomous driving or robotics applications
• Strong Python coding skills with expertise in modern deep learning frameworks (e.g., PyTorch, JAX, TensorFlow)
• Deep understanding of modern neural network architectures and learning paradigms

We prefer:

• Experience with open-set perception models (e.g. SAM)
• Familiarity with autonomous driving datasets
• Experience with open-source foundation models

Note: This will be a hybrid onsite internship position. We will accept resumes on a rolling basis until the role is filled. To be in consideration for multiple roles, you will need to apply to each one individually - please apply to the top 3 roles you are interested in.