AI Research Scientist Intern (PhD), Embodied AI
Tasks
- Apply post training methods including supervised fine tuning preference optimization and policy improvement
- Collaborate with robotics hardware and infrastructure teams to deploy real systems
- Conduct embodied AI research for robotic perception reasoning and control
- Design and execute large scale experiments for robot learning
- Develop vision language action models for robotic manipulation
- Develop world models for action conditioned prediction planning and long horizon decision making
- Evaluate methods on real world and benchmark tasks
- Produce technical reports and research publications
- Train reinforcement learning models for robustness generalization and task performance
Perks/Benefits
Skills/Tech-stack
Action models | Deep learning | Diffusion Models | Fine Tuning | Imitation Learning | JAX | Multimodal Learning | Offline Reinforcement Learning | Online Reinforcement Learning | Policy improvement | Post-training | Preference optimization | PyTorch | Reinforcement Learning | Simulation to Real | Simulation-to-Real transfer | Supervised Fine Tuning | TensorFlow | Transformers | Vision-Language-Action Models | Vision-language | Vision-language-action | World Models
Education
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