Research Scientist / Engineer - Efficient Modeling

Benefits

Parental leave

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Non-birth-parent leave

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Family-building benefits

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Mental health support

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Relocation assistance

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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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Where they hire

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About this role

Research Scientist / Engineer - Efficient Modeling 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 a Research Scientist or Research Engineer focused on model efficiency - making our foundation world models faster, smaller, and more deployable without sacrificing capability. This work is critical to closing the gap between research-scale models and real-time operation on robot hardware. What You'll Do - Research and implement model compression techniques: quantization, pruning, structured sparsity, distillation, and low-rank approximation - Design efficient architectures and attention mechanisms suited to real-time inference on edge and robot hardware - Develop training strategies that produce better accuracy-efficiency tradeoffs from the start - Profile and benchmark models across hardware targets to identify and resolve efficiency bottlenecks - Build evaluation frameworks that measure capability retention after compression or architecture changes - Collaborate with training systems and deployment teams to ensure efficient models translate to faster real-world inference - Publish and present work at top-tier venues What We're Looking For -

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