Senior Machine Learning Engineer, Perception and Controls

Capstan Medical is hiring a Senior Machine Learning Engineer to develop perception and pose-estimation capabilities for its heart valve robotic platform using intraprocedural imaging. The role also builds data pipelines, improves device models and controls, deploys real-time models, and supports validation under FDA design controls.

Responsibilities:

• Develop methods to register intraprocedural imaging, such as fluoroscopy and echocardiography, to the robot
• Estimate the pose of catheters and implants from medical images
• Combine image-based estimates with robot kinematics and other sensing, and quantify the uncertainty of each estimate
• Build data pipelines that capture, align, label, and version imaging and robot data for training and evaluation
• Use simulation and synthetic data where real clinical data is limited
• Fit and improve models of device behavior from data, and work with controls engineers to turn them into better control
• Work with clinical engineers and physicians to learn what the images show, what matters in the procedure, and what accuracy is good enough
• Read the literature, prototype what looks promising, and tell us plainly what works on our data and what doesn't
• Deploy models on the robot and meet real-time latency budgets
• Write the validation, test datasets, and design documentation that let learned components pass FDA design controls