Embodied AI Researcher (VLA Models)

Hyphen Connect is seeking an innovative and experienced Embodied AI Researcher to focus on the development and application of foundation models in robotics. This role involves contributing to cutting-edge research aimed at advancing the field of robotics through deep learning and zero-shot generalization.

The primary responsibilities include training foundation models for robotics, utilizing architectures similar to RT-X, and aligning text-based reasoning processes with low-level robotic control policies. The researcher will design and conduct experiments to evaluate zero-shot generalization in robotic systems and collaborate with interdisciplinary teams to integrate AI models into practical robotic applications. Additionally, documenting and presenting research findings at internal and external conferences is expected.

Candidates 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 is essential, along with strong programming skills in Python and familiarity with machine learning frameworks like TensorFlow or PyTorch. Excellent problem-solving abilities and the capacity to work both independently and collaboratively are also required.

Hyphen Connect offers a dynamic and collaborative work environment where researchers have the opportunity to work on groundbreaking projects at the intersection of AI and robotics. The company values innovation and provides support for professional growth, including opportunities to present work at leading conferences and collaborate with experts across various disciplines.