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2027 Summer Intern
Waymo
Mountain View, California, United StatesFresher1h agovia GreenhouseH-1B sponsor · 6 entry-level filings
This job at a glance
- Who can apply
- New grads and up to 1 year
- Must know
- Deep learningPythonPyTorch
- Nice to have
- Machine learningComputer vision
- Work
- On-site in Mountain View · internship
- Pay
- Not stated by the employer.
- Skill demand
- Python17%Machine learning8%Deep learning2%PyTorch1%of 100 similar entry-level jobs posted in the US this week
- Listed
- Nov 6, 2026 · still open
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About the Role
This is a Summer Intern position focused on Machine Learning, specifically in the area of Simulation Realism (World Model) for autonomous driving.
Key Responsibilities
- Implement, train, and evaluate generative models (such as diffusion models, flow matching, or autoregressive transformers) for video and physical world simulation.
- Experiment with unified 3D/4D and spatiotemporal representations that generalize across diverse scenes, vehicle platforms, and sensor modalities.
- Investigate conditioning, fine-tuning, or distillation methods to improve temporal consistency, physical realism, and inference speed for closed-loop simulation.
- Partner with mentors and researchers across Waymo and frontier AI labs at Google to adapt foundation world models and translate research prototypes into Waymo’s simulation pipeline.
Requirements & Tech Stack
- Currently pursuing an MS or PhD in Computer Science, Machine Learning, Computer Vision, Robotics, or a related field.
- Solid background in deep learning and computer vision.
- Hands-on experience in modern generative modeling (e.g., diffusion models, flow matching, VAEs, or transformers).
- Strong coding skills in Python.
- Practical experience training and debugging models in PyTorch or JAX.
Preferred Qualifications
- Prior research or projects in video generation, world models, or generalized 3D/4D scene representations.
- Exposure to 3D computer vision, multi-view geometry, physical/geometric priors, or multimodal sensor data (Camera, LiDAR, Radar).
- Contributions to open-source projects or publications in ML, vision, or robotics venues (e.g., CVPR, ICCV, ECCV, NeurIPS, ICML).
Note: This is a hybrid onsite internship position.