Customer-Facing Applied Research Engineer, Robotics AI

Rhoda AI; Mountain View (CA); Presencial; USD 150.000 - 230.000; Jornada completa

Descripción de la vacante

Rhoda AI is seeking Applied Research Scientists and Research Engineers to adapt our foundation world models for customer applications and industry use cases. This customer-facing role sits at the intersection of research and deployment, working with partners and end users to translate needs into measurable improvements.

You will fine-tune models for domain-specific tasks, design experiments, and build validation benchmarks to ensure performance in real customer environments across logistics,

Formación

• Hands-on experience fine-tuning or adapting large models.
• Ability to translate customer requirements into model adaptations.
• Experience working across research, engineering, and customer-facing roles.

Responsabilidades

• 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 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.
• Communicate technical findings clearly to both technical and non-technical stakeholders.

Conocimientos

ML research

Fine-tuning large models

Customer-facing collaboration

Descripción del empleo

Rhoda AI is seeking Applied Research Scientists and Research Engineers to adapt our foundation world models for customer applications and industry use cases. This customer-facing role sits at the intersection of research and deployment, working with partners and end users to translate needs into measurable improvements.

You will fine-tune models for domain-specific tasks, design experiments, and build validation benchmarks to ensure performance in real customer environments across logistics,