2026 Summer Intern, PhD, Perception

Machine Learning models are at the core of Waymo's fully autonomous driving technology. Our models allow the Waymo Driver to perceive the world around it, make the right decision for every situation, and deliver people safely to their destinations. We think deeply and solve complex technical challenges in areas like perception, planning and control while collaborating with hardware and systems engineers. If you're curious and passionate about Level 4 autonomous driving, we'd like to meet you.

Waymo interns work with leaders in the industry on projects that deliver significant impact to the company. We believe learning is a two-way street: applying your knowledge while providing you with opportunities to expand your skillset. Interns are an important part of our culture and our recruiting pipeline. Join us at Waymo for a fun and rewarding internship!

This internship will be based on-site at our headquarters in Mountain View, CA.

You will:

• Design and implement state-of-the-art multi-modality (camera/radar/lidar) and multi-task perception models. Potential project areas include:
  • 3D object detection and tracking,
  • Open vocabulary detection applying world knowledge models,
  • 3D occupancy detection,
  • Semantic segmentation,
  • Large-scale foundation models,
  • Pre-training and self-supervised learning through forecasting.
• Train and evaluate ML models on our vast and high fidelity data from Waymo driving logs.
• Gain experience using large scale ML infrastructure and working in a team environment.

You have:

• Enrolled in a PhD program in Computer Science, Robotics, or a similar technical field of study or enrolled in a master's program with a strong publication record.
• Experience in Python
• Experience building ML models with JAX, PyTorch or Tensorflow

We prefer:

• Strong track record of high quality ML / CV research. Publications at top-tier conferences like CVPR, ICCV, ECCV, ICLR, ICML, ICRA, IROS, RSS, NeurIPS, AAAI, IJCV, PAMI.
• Experience in object detection, segmentation, multiple-object tracking or occupancy detection.

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.