Summer Research Intern, ML for Perception Foundations

Digitailor; Mountain View (CA); Hybrid; USD 96,000 - 117,000; Full time

Benefits offered by this job

Generous benefits

Job summary

Waymo LLC in Mountain View, CA, is seeking a Summer Intern (MS/PhD) for research in perception foundation models. You will research, implement, and evaluate zero-shot object detection models for autonomous driving, collaborating with research and engineering teams to advance Waymo's foundation models.

The role emphasizes cutting-edge research, potential publications, and a hybrid onsite internship. Strong publication records and hands-on DL experience preferred.

Qualifications

• Currently pursuing a Master’s 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

Responsibilities

• 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 communicate findings via technical reports and publications.

Skills

Publication record

Python programming

Deep learning concepts

Neural networks

Open-set perception (SAM)

Education

Master's degree in CS/ML/Robotics

PhD preferred

Tools

PyTorch

JAX

TensorFlow

Python

Job description

Waymo LLC in Mountain View, CA, is seeking a Summer Intern (MS/PhD) for research in perception foundation models. You will research, implement, and evaluate zero-shot object detection models for autonomous driving, collaborating with research and engineering teams to advance Waymo's foundation models.

The role emphasizes cutting-edge research, potential publications, and a hybrid onsite internship. Strong publication records and hands-on DL experience preferred.