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.
