2027 Summer Intern, Machine Learning, MS/PhD, Simulation Realism (World Model)

Highlights

• Build generative world models for video and physical world simulation.
• Improve temporal consistency and realism for closed-loop simulation.
• Partner with Waymo researchers and Google AI labs on foundation models.

What they offer

• Eligible for generous benefits programs

Ideal candidate

MS or PhD student passionate about generative simulation and autonomous driving who loves turning research prototypes into real-world impact in collaboration with top researchers.

Requirements

• Currently pursuing MS or PhD in Computer Science, Machine Learning, Computer Vision, Robotics or related field
• Background in deep learning and computer vision with hands-on generative modeling experience
• Strong Python coding skills with practical PyTorch or JAX model training and debugging experience
• Prior research in video generation, world models or 3D/4D scene representations preferred
• Exposure to 3D vision, multi-view geometry, physical priors or multimodal sensor data preferred
• Open-source contributions or publications in ML, vision or robotics venues preferred