About
Maximise your chances of a successful application to this job by ensuring your CV and skills are a good match.is a 501(c)(3) non-profit, open-source AI research organization focused on advancing Open-Source Robotics and AI Agent Technology. Our mission is to
democratize state-of-the-art AI methods, making them more accessible and easier to implement.
Recent highlights:
- Winner, SF LeRobot Robotics Hackathon 2025
- 6 peer-reviewed papers accepted at top venues: KDD GenAIRecP '24, CIKM '24, '25, NAACL '25, ECML-PKDD '25, and MTI-LLM @ NeurIPS 2025
- Website:
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About the Role
We are recruiting Volunteer Research Staff to join our dexterous manipulation research effort. You will collaborate with our team on cutting-edge research with a
clear deliverable: publish a paper at a top-tier venue and/or release an impactful open-source repository.
What you'll work on:
- Research and development in dexterous manipulation (grasping, in-hand manipulation, tactile sensing, learning-based control, sim-to-real)
- Designing experiments, running benchmarks, and analyzing results
- Contributing to open-source code, datasets, and documentation
- Co-authoring academic papers and technical blog posts
Who we're looking for:
- Background in robotics, machine learning, computer vision, or a related field (students, early-career researchers, and experienced engineers all welcome)
- Hands-on experience with at least one of: PyTorch, ROS/ROS2, MuJoCo, Isaac Sim/Gym, IsaacLab, robot learning frameworks
- Familiarity with robot arms, grippers, or dexterous hands is a plus
- Self-driven, xywuqvp collaborative, and excited to ship research in the open
- Able to commit ~10+ hours per week
What you'll gain:
- Authorship on publications and open-source releases
- Mentorship from a team with a track record at top AI/ML venues
- Access to real robot hardware and simulation infrastructure
- A strong network in the open-source robotics + AI agent community
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