2027 Summer Intern, MS/PhD

Responsibilities

• Research, implement, and evaluate state-of-the-art generative models for autonomous vehicle planning.
• Develop ML-powered systems that improve the Waymo Driver and support scaling.
• Translate open-ended real-world driving challenges into well-defined machine learning problems.
• Apply foundation models and reinforcement learning to autonomous driving.
• Partner with industry leaders on impactful projects and evaluate ML systems in real-world environments.

Requirements

• Currently pursuing an MS or PhD in Computer Science, Machine Learning, Robotics, or a related technical field.
• Hands-on experience with modern deep learning libraries such as TensorFlow, JAX, or PyTorch.
• Proficient programming skills in Python, C, or C++.
• Preferred: publications in top-tier conferences including ICML, NeurIPS, CVPR, ICCV, ECCV, ICLR, IROS, CoRL, ACL, or EMNLP.
• Preferred: experience deploying, evaluating, and maintaining ML-based systems in production environments.

Benefits

• Competitive compensation with a housing or relocation bonus if applicable.
• Medical, dental, and vision insurance, subject to eligibility requirements.
• Fun intern events and networking opportunities.
• Free breakfast, lunch, dinner, and snacks onsite.
• Free access to Google shuttles and an onsite gym.
• Hybrid onsite internship position; resumes accepted on a rolling basis until the role is filled.