Embodied AI Researcher (VLA Models)

Hyphen Connect Limited; Boston (MA); On-site; USD 90,000 - 130,000; Full time

Job summary

Hyphen Connect Limited is seeking an innovative and experienced Embodied AI Researcher located in Boston, Massachusetts. The successful candidate will focus on developing and applying foundation models in robotics, contributing to cutting-edge research in deep learning and zero-shot generalization.

Key responsibilities include training foundation models, designing experiments to evaluate robotic systems, and documenting research findings for conferences. Applicants must have a PhD or equivalent experience and a strong publication record in top-tier conferences.

Qualifications

• PhD or equivalent research experience in Deep Learning and Robotics.
• Proven track record of publications in top-tier conferences.
• Practical experience with imitation learning and behavior cloning techniques.

Responsibilities

• Train foundation models for robotics, utilizing architectures similar to RT-X.
• Align text-based reasoning processes with low-level robotic control policies.
• Design and conduct experiments to evaluate zero-shot generalization.

Skills

Deep Learning

Robotics

Python

Imitation Learning

Behavior Cloning

Education

PhD or equivalent research experience

Tools

TensorFlow

PyTorch

Job description

We are seeking an innovative and experienced Embodied AI Researcher, focusing on the development and application of foundation models in robotics. The successful candidate will contribute to cutting‑edge research, designing models and experiments that advance the field of robotics through deep learning and zero‑shot generalization.

Responsibilities

• Train foundation models for robotics, utilizing architectures similar to RT‑X.
• Align text‑based reasoning processes with low‑level robotic control policies.
• Design and conduct experiments to evaluate zero‑shot generalization in robotic systems.
• Collaborate with interdisciplinary teams to integrate AI models into practical robotic applications.
• Document and present research findings at internal and external conferences.

Qualifications

• PhD or equivalent research experience in Deep Learning and Robotics.
• 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 such as TensorFlow or PyTorch.
• Excellent problem‑solving skills and the ability to work independently and as part of a team.