ML Research Engineer / Scientist

📋 Description

• Design, develop, train, and evaluate ML models for interpreting CT studies at the study level.
• Research foundation-model approaches for medical imaging (3D/volumetric learning at scale).
• Develop vision-language models linking medical images with radiology terminology and reporting.
• Identify and prioritize multiple urgent clinical findings with safe operating points.
• Run independent experiments from hypothesis to training, evaluation, and analysis.
• Build custom architectures, training pipelines, and distributed training techniques.

🎯 Requirements

• Strong practical ML/DL experience, especially PyTorch for custom architectures and experiments.
• Deep understanding of why architectures/objectives/training methods work, not just existing
• Ability to formulate hypotheses, design experiments, interpret results, and iterate.
• Rigorous experimentation, evaluation, reproducibility, and model validation.
• Experience with large-scale datasets and distributed training is valuable.
• Interest in challenging problems with real-world impact; teamwork with researchers, engineers, and

🎁 Benefits

• Fully remote position open to candidates worldwide.
• Location-flexible compensation based on local market where you work.
• Compensation shared early in the hiring process; no equity in international offers.
• Opportunity to work with a real-world CT dataset covering ~10 million patients paired with
• Direct collaboration with fellowship-trained radiologists across chest, body, MSK, neuro, and
• Path from experimentation to FDA submissions, hospital deployments, and patient care within months.