Research Scientist Intern, Multimodal Generative AI and Robotics (PhD)
Tasks
- Benchmark world modeling and video generation
- Build contextual embodied AI models
- Design setup and run experiments
- Develop prototype systems for sensing and machine reasoning
- Develop unified multimodal predictive models
- Investigate long horizon consistent physically grounded generation
- Leverage multimodal generation for robot learning and control
- Plan and execute machine learning research
Perks/Benefits
- N/A
Skills/Tech-stack
3D machine perception | Benchmarking | Computer Vision | Deep learning | Generative Modeling | Graphics | Human motion | Human motion modeling | Language Models | Large Scale Training | Large-scale | Machine Perception | Model Evaluation | PyTorch | Python | Unix | Video Generation | Vision Language Models | Vision-language | World modeling
Education
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