Research Scientist: Robotics Foundation Models

Actively Hiring

Full-time Posted about 1 month ago

Responsibilities

check_circle Research, design, adapt and apply multimodal foundation models (e.g., VLMs, VLAs) for robotic systems to develop robust manipulation behaviors and task failure reasoning.
check_circle Train, fine-tune, and design vision-language and multimodal foundation models for robotic dexterous manipulation.
check_circle Research and develop machine learning algorithms such as reinforcement learning and imitation learning for contact-rich dexterous manipulation.
check_circle Implement and validate algorithms in simulation and on robot hardware.
check_circle Analyze system performance and improve robustness and generalization.
check_circle Deliver results in accordance with project timelines.
check_circle Prepare written and oral technical reports and demonstrations.
check_circle Contribute to portfolio of patents, academic publications, and prototypes to demonstrate research value.
check_circle Collaborate with our teams of scientists and engineers in Honda’s regional and global R&D offices, as well as with our partners in academia and industry.
check_circle Supervise interns.

Ph.D. in robotics, mechanical engineering, electrical engineering, computer science, or a related field
Expert knowledge on learning-based methods such as reinforcement learning, generative models, and inference.
Hands-on experience applying VLMs, VLAs, or multimodal foundation models in robotics or embodied settings.
Experience with model training, fine-tuning, or architectural development of multimodal/foundation models.
Familiarity with transformer-based and multimodal models.
Solid knowledge of fundamentals of robotics, including kinematics, dynamics, control systems.
Experience with planning, control, and system integration for robotic manipulation.
Strong programming skills in Python or C++ and familiarity with ROS.
Self-motivated to advance the project and deliver on time.
Strong track record of publications in robotics and machine learning venues.
Strong written and oral communication skills.
1+ years of relevant work experience.

Hands-on experience on design, development, and fine-tuning of foundation models for dexterous or multi-fingered manipulation.
Hands-on experience with policy deployment and evaluation on real robot stacks.

Ai Machine Learning Robotics