Machine Learning Engineer — Computer Vision

Develop computer vision models for medical imaging analysis

Med AI Bravo is seeking engineers to develop computer vision models for medical imaging analysis. You'll build AI algorithms to process MRI, CT, and X-ray data in collaboration with radiologists and software engineers — and contribute directly to our research efforts.

Key Responsibilities

• Design, train, test, and optimize deep learning models (image segmentation, classification, object detection, and more)
• Develop data processing and model training pipelines
• Create algorithms that extract clinical insights from medical images
• Collaborate with clinical and engineering teams
• Contribute to broader research efforts

Requirements

• Hands-on computer vision experience
• Understanding of CV architectures and techniques
• Python proficiency with PyTorch or TensorFlow
• Software engineering best practices (Git, Docker, CI/CD)
• Solid knowledge of data structures, algorithms, and linear algebra
• Strong communication and teamwork abilities

Preferred Qualifications

• Medical ML or clinical workflow experience
• Edge deployment and inference optimization skills
• Knowledge of radiology workflows and formats (DICOM, HL7, FHIR)
• Public GitHub portfolio or ML project examples

Why Join

• Be part of an innovative early-stage startup with a mission to improve healthcare
• Work on real clinical AI — your models will be used by radiologists on actual patient data, not benchmarks
• Own significant parts of the model architecture and pipeline — no ticket queues, no narrow feature work
• Competitive salary and career growth opportunities
• Collaborate directly with radiologists and clinical experts — rare access that makes better engineers
• A collaborative and flexible work environment