Senior Data & ML Engineer - Computer Vision

Salary: $100,000 - 200,000 per year

Requirements:

• 5–10+ years of practical experience in Machine Learning, Computer Vision, or Medical Imaging.
• Established ability to swiftly convert research findings into functional, production-ready code.
• Expertise in developing innovative engineering solutions beyond traditional academic approaches.
• Proficiency in Python, PyTorch, OpenCV, and NumPy.
• Comprehensive knowledge of 2D/3D image data (X-ray, Fluoroscopy, CT) and experience with visualization tools like 3D Slicer, VTK, or SimpleITK.

Responsibilities:

• Lead the transformation of broad clinical goals into high-performance ML architectures, guiding our technical strategy.
• Conduct systematic evaluations of various architectural concepts, rapidly producing functional prototypes utilizing a quick test-fail-learn approach.
• Design and develop efficient pipelines for radiographic image analysis with a focus on high-precision semantic segmentation, landmark detection, and feature extraction from Fluoroscopy.
• Collaborate extensively with leaders in Advanced Image Processing and 3D Pose Estimation to ensure a cohesive system.
• Innovate algorithms to tackle challenges related to noise, occlusion, and surgical artifacts, consistently setting new benchmarks in the market.

Technologies:

• 3D
• AI
• Computer Vision
• Machine Learning
• PyTorch
• Python
• numpy
• opencv
• Backbone
• Hardware

More:

At Torus Biomedical, we are pioneering a real-time AI guidance system for orthopedic surgeries, eliminating the need for pre-operative scans and enhancing the surgical workflow with precision. Our mission is to redefine intraoperative imaging by transforming qualitative data into reliable, quantitative assessments. As we expand our team, we offer the chance to significantly impact clinical outcomes while working in a high-energy, research-driven environment. Join us in our commitment to excellence and innovation, where your contributions will directly influence surgeons and patient care.

last updated 14 week of 2026