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 to 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