Road-Understanding ML Engineer Intern (Hybrid)

We Love AI Jobs; Mountain View (CA); Hybrid; USD 97,000 - 138,000; Full time

Job summary

Waymo is seeking a PhD student for a Summer Intern role in Mountain View to develop machine‑learning methods for understanding road geometry and connectivity from vehicle sensors and map information.

You will train and evaluate models, analyze failures, and work with teams to assess their impact on downstream planning. The role emphasizes building, training, and debugging deep learning models for road understanding.

Qualifications

• Currently pursuing a PhD in CS, Robotics, EE, ML, or related field.
• Strong programming in Python and deep learning frameworks (PyTorch, JAX, TensorFlow).
• Experience with CV, 3D Perception, or Graph Neural Networks.

Responsibilities

• Build models for lane geometry detection and road-network topology decoding.
• Train neural networks using vehicle sensor data and map priors.
• Benchmark model accuracy, analyze failures, and assess downstream planning impact.
• Cross-functional collaboration with research mentors and engineering teams to package insights.

Skills

Python

PyTorch

JAX

TensorFlow

computer vision

3D perception

graph neural networks

spatial reasoning

Education

PhD (in progress)

Job description

Waymo is seeking a PhD student for a Summer Intern role in Mountain View to develop machine‑learning methods for understanding road geometry and connectivity from vehicle sensors and map information.

You will train and evaluate models, analyze failures, and work with teams to assess their impact on downstream planning. The role emphasizes building, training, and debugging deep learning models for road understanding.