Embodied AI Researcher (VLA Models)

Hyphen Connect is seeking an innovative Embodied AI Researcher to advance the development and application of foundation models in robotics. This role focuses on designing and training models that enhance robotic capabilities through deep learning and zero-shot generalization techniques.

The successful candidate will be responsible for training foundation models for robotics, aligning text-based reasoning processes with low-level robotic control policies, and designing experiments to evaluate zero-shot generalization in robotic systems. Collaboration with interdisciplinary teams to integrate AI models into practical robotic applications is also a key aspect of the role.

Applicants should possess a PhD or equivalent research experience in Deep Learning and Robotics, with a proven track record of publications in top-tier conferences such as CoRL, ICRA, and NeurIPS. Practical experience with imitation learning and behavior cloning techniques, strong programming skills in Python, and familiarity with machine learning frameworks like TensorFlow or PyTorch are essential.

Hyphen Connect offers a dynamic and collaborative work environment where researchers have the opportunity to contribute to cutting-edge advancements in robotics and AI. The company values innovation and provides support for presenting research findings at internal and external conferences, fostering professional growth and development.