Senior AI/ML Research Engineer – Model development
Core
Develop and fine-tune foundation models (VFMs, VLMs, VLA) for embodied AI to enable robotic platforms to perceive surgical scenes and execute safe, performant actions.
Role type
Senior AI/ML Research Engineer (Embodied AI / Surgical Robotics)
Builds
Robust, real-time embodied-AI systems for surgical robots
Domain
Healthcare / Surgical Robotics / Embodied AI
Deliverable
production ML models
Required skills
Robot learning, embodied AI, control, sequential decision-making, imitation learning, behavior cloning, reinforcement learning, vision-action (VA) models, vision-language-action (VLA) models, world models, self-supervised predictive architectures, training and evaluation loops, Python, C++, PyTorch/TensorFlow/JAX, linear algebra, probability, optimization
Preferred skills
Diffusion policies, transformer policies, action chunking, DAgger, human-in-the-loop pipelines, Sim-to-real transfer, domain randomization, teleoperation, kinematics, real-time on-robot deployment, publications at CoRL/RSS/ICRA/IROS/NeurIPS
Technologies
NVIDIA Isaac Sim, PyTorch, TensorFlow, JAX, C++, Python
Responsibilities
Develop, fine-tune, and evaluate AI/ML models for perception and action translation; establish baselines by reproducing state-of-the-art approaches; build and maintain training and data pipelines combining real and simulation data; define and run evaluation for performance and safe failure behavior; partner with data teams to shape label taxonomies and quality control; collaborate across multidisciplinary teams to align interfaces and deliver models for rapid prototyping.
Seniority
Senior, hands-on IC with research and prototyping focus
