Senior Computer Vision Engineer (2D or 3D - Clinical AI) About the Company The mission is simple but ambitious:
democratize access to high?quality cardiac care, especially in regions where cardiologists and advanced imaging equipment are scarce.
About the Role This is a
hands-on applied engineering position focused on building and deploying
real clinical AI, not academic experiments. You will own production imaging models end?to?end, ensure reliability across diverse clinical settings, and work closely with clinical, regulatory, and deployment teams.
Profile A - - Segmentation
- Localization
- Ultrasound/Echo image processing
- Signal and noise?robust imaging pipelines
Profile B - 3D Modeling - Volumetric reconstruction
- 3D geometry and physics-informed modeling
- Computational representations of cardiac structures
Exceptional candidates may be considered for both tracks.
What You Will Own Computer Vision Development - Build production-grade CV models used in live cardiac workflows
- Develop 2D segmentation, 3D/4D reconstruction, and mathematical modeling systems
- Optimize models for low?latency clinical deployment
- Debug imaging pipelines across noisy, highly variable datasets
Production ML & Deployment - Own pipelines from prototype ? production
- Support deployment engineers with real?world constraints
- Maintain model reliability across multiple international regions
- Monitor drift, performance degradation, and operational issues
What We're Looking For Required - Strong experience in Computer Vision (2D and/or 3D)
- Production ML experience-beyond research or academic prototypes
- Background in biomedical or clinical imaging (ultrasound strongly preferred)
- Ability to debug, iterate, and deliver under pressure
- Experience working with deployment or ops engineering teams
- Comfort writing regulatory?oriented technical documentation
- Strong Python + PyTorch skills
- Startup mindset - bias for action, adaptability, ownership