Applied Research Scientist / Engineer - Deployment

LocationPalo AltoEmployment TypeFull timeDepartmentResearchOverviewApplicationAt 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 DoWork directly with customers and partners to understand application requirements and translate them into concrete model adaptation strategiesFine-tune and adapt our foundation world models for domain-specific tasks, environments, and operational constraintsDesign and run targeted experiments to evaluate model performance against customer-defined success criteriaBuild application-specific evaluation benchmarks and testing frameworks to validate model behavior in real customer environmentsIdentify gaps between general-purpose model capabilities and the requirements of specific use cases, and drive research to close themCollaborate with the core research team to surface patterns and insights from customer deployments that inform foundational model developmentCommunicate technical findings clearly to both technical and non-technical stakeholdersWhat We're Looking ForStrong ML research and engineering skills with hands-on experience fine-tuning or adapting large modelsAbility to move fluidly between customer requirements and technical implementationSolid understanding of modern ML pipelines: pre-training, fine-tuning, evaluation, and deploymentComfort working across teams — research, engineering, and customer-facing functionsStrong communication skills: ability to explain model behavior and tradeoffs to non-technical audiencesExperience in a customer-facing, applied research, or solutions engineering roleStaff-level candidates are expected to define technical direction and drive research strategy independently; senior/MTS candidates execute complex projects with strong fundamentals and growing scopeNice To Have (But Not Required)Experience adapting foundation models (LLMs, VLMs, or policy models) to domain-specific applicationsFamiliarity with one or more relevant verticals (e.g., logistics, manufacturing, warehouse automation, agriculture)Familiarity with inference optimization and runtime constraints (latency, memory, hardware targets) — sufficient to work alongside inference engineers, not own itExperience with sim-to-real transfer or adapting models trained in one environment to operate in anotherHands-on experience with real robot deployments in production or near-production settingsPhD or strong research background in ML, Robotics, or a related fieldWhy This RoleRare combination of research depth and direct customer impact — you see your work matter in the real worldSurface insights from real-world deployments that feed back into foundational model developmentWork across industries and applications with significant variety in problems and environmentsHigh visibility within the company as the bridge between our core models and the customers who use themAt 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 DoWork directly with customers and partners to understand application requirements and translate them into concrete model adaptation strategiesFine-tune and adapt our foundation world models for domain-specific tasks, environments, and operational constraintsDesign and run targeted experiments to evaluate model performance against customer-defined success criteriaBuild application-specific evaluation benchmarks and testing frameworks to validate model behavior in real customer environmentsIdentify gaps between general-purpose model capabilities and the requirements of specific use cases, and drive research to close themCollaborate with the core research team to surface patterns and insights from customer deployments that inform foundational model developmentCommunicate technical findings clearly to both technical and non-technical stakeholdersWhat We're Looking ForStrong ML research and engineering skills with hands-on experience fine-tuning or adapting large modelsAbility to move fluidly between customer requirements and technical implementationSolid understanding of modern ML pipelines: pre-training, fine-tuning, evaluation, and deploymentComfort working across teams — research, engineering, and customer-facing functionsStrong communication skills: ability to explain model behavior and tradeoffs to non-technical audiencesExperience in a customer-facing, applied research, or solutions engineering roleStaff-level candidates are expected to define technical direction and drive research strategy independently; senior/MTS candidates execute complex projects with strong fundamentals and growing scopeNice To Have (But Not Required)Experience adapting foundation models (LLMs, VLMs, or policy models) to domain-specific applicationsFamiliarity with one or more relevant verticals (e.g., logistics, manufacturing, warehouse automation, agriculture)Familiarity with inference optimization and runtime constraints (latency, memory, hardware targets) — sufficient to work alongside inference engineers, not own itExperience with sim-to-real transfer or adapting models trained in one environment to operate in anotherHands-on experience with real robot deployments in production or near-production settingsPhD or strong research background in ML, Robotics, or a related fieldWhy This RoleRare combination of research depth and direct customer impact — you see your work matter in the real worldSurface insights from real-world deployments that feed back into foundational model developmentWork across industries and applications with significant variety in problems and environmentsHigh visibility within the company as the bridge between our core models and the customers who use themAt 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 DoWork directly with customers and partners to understand application requirements and translate them into concrete model adaptation strategiesFine-tune and adapt our foundation world models for domain-specific tasks, environments, and operational constraintsDesign and run targeted experiments to evaluate model performance against customer-defined success criteriaBuild application-specific evaluation benchmarks and testing frameworks to validate model behavior in real customer environmentsIdentify gaps between general-purpose model capabilities and the requirements of specific use cases, and drive research to close themCollaborate with the core research team to surface patterns and insights from customer deployments that inform foundational model developmentCommunicate technical findings clearly to both technical and non-technical stakeholdersWhat We're Looking ForStrong ML research and engineering skills with hands-on experience fine-tuning or adapting large modelsAbility to move fluidly between customer requirements and technical implementationSolid understanding of modern ML pipelines: pre-training, fine-tuning, evaluation, and deploymentComfort working across teams — research, engineering, and customer-facing functionsStrong communication skills: ability to explain model behavior and tradeoffs to non-technical audiencesExperience in a customer-facing, applied research, or solutions engineering roleStaff-level candidates are expected to define technical direction and drive research strategy independently; senior/MTS candidates execute complex projects with strong fundamentals and growing scopeNice To Have (But Not Required)Experience adapting foundation models (LLMs, VLMs, or policy models) to domain-specific applicationsFamiliarity with one or more relevant verticals (e.g., logistics, manufacturing, warehouse automation, agriculture)Familiarity with inference optimization and runtime constraints (latency, memory, hardware targets) — sufficient to work alongside inference engineers, not own itExperience with sim-to-real transfer or adapting models trained in one environment to operate in anotherHands-on experience with real robot deployments in production or near-production settingsPhD or strong research background in ML, Robotics, or a related fieldWhy This RoleRare combination of research depth and direct customer impact — you see your work matter in the real worldSurface insights from real-world deployments that feed back into foundational model developmentWork across industries and applications with significant variety in problems and environmentsHigh visibility within the company as the bridge between our core models and the customers who use them