Summer Intern, PhD, Waymo Predictive Planner - ML/DL Engineer

Summary

Join Waymo for a fun and rewarding internship as a software engineer or researcher working on projects that deliver significant impact to the company.

Requirements

• Currently pursuing a PhD degree in Computer Science, Machine Learning, Robotics, or a related field
• Experience with deep learning concepts and generative models
• Proficient in Python and deep learning frameworks such as PyTorch, JAX, or TensorFlow

Responsibilities

• Collaborate with researchers and engineers to design, develop, and implement large models for autonomous vehicle planning
• Integrate these models into our production planning system, ensuring seamless functionality and optimized performance
• Analyze model performance and identify areas for improvement
• Contribute to research efforts in areas such as deep learning, generative models, and reinforcement learning
• Stay up-to-date on the latest advancements in autonomous driving and machine learning

Preferred Qualifications

• Publications in top-tier conferences such as CVPR, ICCV, ECCV, ICLR, ICML, NeurIPS, IROS, CoRL, ACL, or EMNLP
• Experience in the autonomous driving domain, including areas like motion planning, perception, or control
• Familiarity with software engineering best practices and version control systems