18 hours ago
Mountain View, CA, USAIntern
H1B sponsor
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.
Categories
ML EngineeringRobotics
About Waymo
Waymo develops the Waymo Driver, a full-stack autonomous driving system, and operates the Waymo One robotaxi service that offers paid, driverless rides in select U.S. cities. The company monetizes through ride-hailing fares and partnerships integrating its technology on multiple vehicle platforms. Founded in 2009 as Google’s self-driving project, Waymo is headquartered in Mountain View and is an Alphabet subsidiary, with over 10 million rider-only trips and 100+ million autonomous miles on public roads.