Applied Research Scientist / Engineer - Deployment
Rhoda AI - Palo Alto, California, United States
Posted May 18, 2026
Benefits
- Parental leave
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- Non-birth-parent leave
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- Family-building benefits
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- Fertility benefits: Not verified
- Adoption assistance: Not verified
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- Mental health support
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About this role
Applied Research Scientist / Engineer - Deployment Palo Alto, 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 Applied Research Scientists and Research Engineers to take our foundation world models and adapt them for specific customer applications and industry use cases. We hire across levels - from senior/MTS to staff. This is a customer-facing role at the intersection of research and deployment - you'll work directly with partners and end users to understand their needs, translate them into model adaptations, and deliver measurable improvements in real-world settings across industries like logistics, manufacturing, and beyond. What You'll Do - Work directly with customers and partners to understand application requirements and translate them into concrete model adaptation strategies - Fine-tune and adapt our foundation world models for domain-specific tasks, environments, and operational constraints - Design and run targeted experiments to evaluate model performance against customer-defined success criteria - Build application-specific evaluation benchmarks and testing frameworks to validate model behavior in real customer environments - Identify gaps
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