Rhoda AI

Technology

ResearchScientist/Engineer-DexterousManipulation

$165–235k ~AI est. Mountain View, California, United States FULL TIME
Market Sentiment
HIGH DEMAND

Neural analysis suggests this role is
optimal for Mid+ candidates.

The Brief

“Research Scientist / Engineer - Dexterous Manipulation at Rhoda AI. Skills: Dexterous manipulation, Robot learning, Physical AI. Research learning-based approaches. Develop learning-based approaches”

Industry & Context.

Technology
Problems you'll solve

Physical reasoning

What They're Looking For.

Must Have

Background in robot learning, Background in manipulation, Background in physical AI, Hands-on experience developing manipulation policies, Hands-on experience evaluating manipulation policies, Solid ML skills, Experience in imitation learning, Experience in RL, Experience in diffusion-based policies, Ability to work across the stack

Nice to Have

PhD in Robotics, PhD in ML, Publication record at ICRA, Publication record at CoRL, Publication record at RSS, Publication record at NeurIPS, Prior work on dexterous hands, Prior work on multi-finger manipulation, Prior work on contact-rich tasks, Experience with tactile sensors, Experience with force/torque feedback, Familiarity with MuJoCo, Familiarity with Isaac Sim, Familiarity with Genesis, Experience with skill libraries, Experience with language-conditioned manipulation, Experience with task parameterization

What You'll Do.

Research learning-based approaches

Develop learning-based approaches

Design training strategies

Design data collection protocols

Work on perception for manipulation

Develop simulation environments

Collaborate with hardware teams

Collaborate with perception teams

Collaborate with learning teams

How You'll Work.

Team & Collaboration

Robot hardware teams; Perception teams; Learning teams; Robot learning teams; Systems teams

Full Job Description

At Rhoda AI, we’re building the next generation of generalist intelligent robots. We own the full robotics stack from high-performance hardware and robot systems to the infrastructure and state-of-the-art foundation world models that control our robots. Our robots are designed to be generalists capable of operating in complex, real-world environments and handling long-tail edge cases, made possible by our cutting edge research and end-to-end system design. We've raised over $400M and are investing aggressively in model research, infrastructure, hardware development, and manufacturing scale-up to make generalist robotics a reality. We're looking for a Research Scientist or Research Engineer to advance dexterous manipulation — enabling our robots to perform contact-rich, fine-motor tasks that require precision, physical reasoning, and adaptability to novel objects and environments. What You'll Do - Research and develop learning-based approaches for dexterous and contact-rich manipulation tasks - Design training strategies and data collection protocols for fine-motor and multi-finger manipulation - Work on perception for manipulation: contact detection, tactile sensing, object pose estimation, and spatial reasoning - Build and evaluate policies that generalize to novel objects and unstructured environments - Develop simulation environments and benchmarks for dexterous manipulation research - Collaborate with robot hardware, perception, and learning teams to close the sim-to-real gap - Publish and present work at top-tier robotics and ML venues (especially valued for RS track) What We're Looking For - Strong background in robot learning, manipulation, or physical AI - Hands-on experience developing and evaluating manipulation policies on real hardware - Understanding of contact mechanics, grasp planning, or tactile sensing - Solid ML skills with experience in imitation learning, RL, or diffusion-based policies - Ability to work across the stack from simulation to real r

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