Research Fellow (Embodied AI & Dex Hands)
Core
Developing and deploying Vision-Language-Action (VLA) models and world models for real-world robotic applications, including autonomous task execution and human-robot interaction.
Role type
Research Fellow (Embodied AI & Multimodal LLMs)
Builds
Production VLA models and world models for robotic arms
Domain
Robotics, Embodied AI, Multimodal Large Language Models
Deliverable
production ML models
Required skills
Deep learning, Multimodal LLMs, Vision-Language-Action models, Python, PyTorch, Robotic systems (robotic arms), Reinforcement learning
Preferred skills
Human-robot interaction
Technologies
PyTorch, Python
Responsibilities
Design and implement VLA models and world models; Develop and optimize deep learning algorithms for robotic arms; Train and fine-tune models on multimodal datasets; Experiment with and deploy vision-language-action models on robotic platforms; Publish high-quality research in top-tier conferences and journals
Seniority
Senior, hands-on IC