Research Scientist: Multimodal Learning for Embodied ...

Key Responsibilities

• Develop and advance machine learning models, including foundation models and multimodal systems that reason over vision, language, action, and other embodied signals.
• Design model architectures that unify perception, reasoning, and decision-making for embodied intelligence.
• Train, fine-tune, and evaluate models on large-scale, diverse datasets to improve robustness, generalization, and real-world performance.
• Develop rigorous evaluation methodologies, benchmarks, and metrics for complex and potentially safety-critical AI systems.
• Build reusable research infrastructure, including evaluation suites, analysis pipelines, and experimental frameworks.
• Conduct empirical analysis of model behavior, generalization, failure modes, and adaptation under changing environments or distribution shifts.
• Contribute to publications, patents, and research prototypes that demonstrate technical impact.

Minimum Qualifications

• Ph.D. or M.S. with equivalent experience in Computer Science, Machine Learning, Artificial Intelligence, Robotics, or a related field.
• Deep understanding of modern machine learning and deep learning techniques.
• Experience training and evaluating models at scale.
• Experience with foundation models, multimodal learning, or embodied AI systems.
• Proficiency with modern research tooling, including AI-assisted development workflows and agent-based experimentation frameworks.
• Strong ability to formulate research problems, execute experiments, analyze results, and communicate findings clearly.
• 1 - 3 years of relevant work experience.

Bonus Qualifications

(Optional)

Alternate Way to Apply

Send an e-mail to careers@honda-ri.com with the following:

• Subject line including the job number(s) you are applying for
• Recent CV
• A cover letter highlighting relevant background (Optional)