Backed by Eclipse Ventures.
About the role
Develop methods to register intraprocedural imaging, such as fluoroscopy and echocardiography, to the robot. Estimate the pose of catheters and implants from medical images. Found on 1752vc Careers, the job board for startup and VC roles.
What they're looking for
- Real-World Machine Learning: You've taken models out of notebooks and into products that run on real data, with all its noise, drift, and edge cases
- Computer Vision: Strong background in classical and learned computer vision, especially pose estimation, segmentation, tracking, or 2D/3D registration
- 3D Geometry: Solid grasp of rigid transforms, rotations, camera projection models, and calibration
- Programming: Strong Python and PyTorch skills. Comfortable reading and writing C++
- Data Engineering: You build pipelines, datasets, and evaluation harnesses that others can trust and reuse
- Research and Prototyping: You keep up with recent papers, can tell which ideas will survive contact with our data, and enjoy turning them into working prototypes
More about this role
Workplace Type: Hybrid — Onsite 3–4 days per week across Santa Cruz and West Menlo Park, CA, with at least 1 day per week in Santa Cruz
At Capstan Medical, we're building one of the most exciting and innovative companies in medtech: a first-of-its-kind robotic platform for minimally invasive heart valve treatment.
Our team combines surgical robotics, catheter-based delivery, and next-generation implants to turn complex procedures into safer, lower-stress solutions for patients and clinicians. We're a collaborative, hands-on team that moves fast, wears multiple hats, and believes the best ideas can come from anyone.
Based in Santa Cruz, our workspace blends Bay Area innovation with a lifestyle near trails, beaches, and open space—a great place to do meaningful, career-defining work.
We're hiring a Senior Machine Learning Engineer to join our robotics and controls team. You'll help our robot understand where its devices are inside the patient, using intraprocedural imaging such as fluoroscopy and echocardiography. That means building perception for image-to-robot registration and pose estimation, and taking it from research into a clinical system.
This is not a model-in-a-notebook...
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