Startups · AI

Research Member of Technical Staff- Applied Research

Rhoda · Mountain View · On-site

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About Rhoda

Redefining Robotic Intelligence. Backed by Khosla.

About the role

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

What they're looking for

  • Strong ML research and engineering skills with hands-on experience fine-tuning or adapting large models
  • Ability to move fluidly between customer requirements and technical implementation
  • Solid understanding of modern ML pipelines: pre-training, fine-tuning, evaluation, and deployment
  • Comfort working across teams — research, engineering, and customer-facing functions
  • Strong communication skills: ability to explain model behavior and tradeoffs to non-technical audiences
  • Experience in a customer-facing, applied research, or solutions engineering role
More about this role

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 $450M 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.

Work directly...

Read the full posting on Rhoda's site ↗

Research

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