Rhoda AI
Research Member of Technical Staff- Deployment
Mountain View · Staff+
Sponsorship not specifiedDetected 65 days ago
Machine LearningLLMsLogisticsRoboticsHardware DesignResearchCommunication
About the role
- 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 hire across levels - from senior/MTS to staff.
Responsibilities
- 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 between general-purpose model capabilities and the requirements of specific use cases, and drive research to close them
- Collaborate with the core research team to surface patterns and insights from customer deployments that inform foundational model development
- 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.
- 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.
Requirements
- 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
- Comfort working across teams - research, engineering, and customer-facing functions
- Strong communication skills: ability to explain model behavior and tradeoffs to non-technical audiences
Skills
- Experience in a customer-facing, applied research, or solutions engineering role
- Experience adapting foundation models (LLMs, VLMs, or policy models) to domain-specific applications
- Familiarity with one or more relevant verticals (e.g., logistics, manufacturing, warehouse automation, agriculture)
- Experience with sim-to-real transfer or adapting models trained in one environment to operate in another
- Hands-on experience with real robot deployments in production or near-production settings
- PhD or strong research background in ML, Robotics, or a related field
- Rare combination of research depth and direct customer impact - you see your work matter in the real world
- Surface insights from real-world deployments that feed back into foundational model development
- Work across industries and applications with significant variety in problems and environments
- ability to explain model behavior and tradeoffs to non-technical audiences
- Nice to Have (But Not Required)
- Why This Role
Company info
- Work directly with customers and partners to understand application requirements and translate them into concrete model adaptation strategies
- What We're Looking For
- At Rhoda AI, we're building the next generation of generalist intelligent robots.
- 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.
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This listing is sourced directly from Rhoda AI's careers page and normalized into a canonical job model.