Research Member of Technical Staff - Deployment

About the Company

Rhoda AI is 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.

Responsibilities

• Work directly with customers and partners to understand application requirements and translate them into concrete model adaptation strategies
• Fine-tune and adapt 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 between general-purpose model capabilities and specific use case requirements
• Collaborate with the core research team to surface patterns and insights from customer deployments
• Communicate technical findings clearly to both technical and non-technical stakeholders

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
• Solid understanding of modern ML pipelines: pre-training, fine-tuning, evaluation, and deployment
• Experience in a customer-facing, applied research, or solutions engineering role
• Strong communication skills to explain model behavior and tradeoffs to non-technical audiences

Preferred Qualifications

• Experience adapting foundation models (LLMs, VLMs, or policy models) to domain-specific applications
• Familiarity with logistics, manufacturing, warehouse automation, or agriculture
• Familiarity with inference optimization and runtime constraints
• Experience with sim-to-real transfer
• Hands-on experience with real robot deployments in production settings
• PhD or strong research background in ML, Robotics, or a related field