Lead Machine Learning Engineer - Medical Imaging

Holobeam Technologies is developing advanced medical imaging technologies at the intersection of machine learning, computer vision, image processing, and 3D medical imaging. The Lead Machine Learning Engineer will lead a small ML research team while remaining hands-on in developing models, designing experiments, analyzing failures, mentoring engineers, and moving successful research toward clinical and regulatory-ready products.

Responsibilities:

• Lead ML research and mentor a small team while remaining actively involved in coding, training, and experimentation
• Develop and evaluate methods involving 2D/3D medical imaging, reconstruction, image analysis, and generative imaging
• Work with medical imaging datasets including X-ray, CT, DICOM, annotations, masks, and volumetric data
• Translate promising research papers into working implementations and controlled experiments
• Design validation methods that distinguish clinically supported information from visually plausible model output
• Address data quality, registration error, hallucination, domain shift, uncertainty, and other model failure modes
• Build reproducible preprocessing, training, inference, and evaluation pipelines
• Help move successful research toward production, clinical validation, and regulatory submission