Research Scientist / Engineer - Reasoning

Benefits

Parental leave

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Non-birth-parent leave

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Market context

U.S. role benchmark (BLS OEWS)

$116,543 U.S. median for this role

Projected growth (BLS Employment Projections)

+9.8% - Much faster than average

Matched to SOC 15-1252 - Software Engineering aggregate by role bucket.

Source: U.S. Bureau of Labor Statistics, OEWS, May 2024 and Employment Projections, 2024-2034.

Role

Role function

Engineering From the posting source checked Jun 20, 2026

Seniority

Senior From the posting source checked Jun 20, 2026

Schedule

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Weekend work

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Application

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Assessment

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Deadline

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About this role

Research Scientist / Engineer - Reasoning Mountain View, Mountain View,, California, United States 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 Research Scientists and Research Engineers to advance the reasoning and planning capabilities of our foundation world models - enabling robots to decompose goals, plan multi-step actions, and handle long-horizon tasks in complex, unstructured environments. We hire across levels - from senior to staff. What You'll Do - Research and develop methods for multi-step reasoning and planning grounded in embodied world models - Design architectures and training strategies that improve compositional generalization and long-horizon prediction - Explore chain-of-thought reasoning, process reward models, and test-time search in the context of robotic control - Build evaluation benchmarks for reasoning and planning capabilities applied to physical tasks - Investigate how world model rollouts can enable planning and decision-making at inference time - Collaborate with pre-training and post-training teams to integrate reasoning capabilities into the full model pipeline - Publish and present work at top-tier venues (especially valued for RS

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