ML Research Engineer / Scientist

📋 Description

• Design, develop, train, and evaluate machine learning models for interpreting CT studies at the
• Research foundation-model approaches for medical imaging (3D and volumetric learning at scale).
• Develop vision-language models linking medical images with radiology terminology and reports.
• Identify and prioritize multiple urgent findings with safe operating points.
• Plan independent experiments from hypothesis to deployment and analysis.
• Develop custom architectures, training pipelines, loss functions, and distributed training using

🎯 Requirements

• Strong practical experience with modern ML/DL, especially PyTorch for custom architectures
• Deep understanding of why architectures, objectives, optimization, and training approaches work.
• Ability to formulate hypotheses independently, design experiments, interpret results, and iterate
• Rigorous experimentation, evaluation, reproducibility, and model validation.
• Experience with large-scale datasets and distributed training is highly valuable.
• Interest in solving technically challenging problems with real-world impact.

🎁 Benefits

• Fully remote position open to candidates worldwide.
• Location-flexible compensation with cash-based base salary determined by local market where you
• Specific compensation range shared early in the hiring process.
• No equity in international offers; compensation structured around local-market cash pay.
• Opportunity to work with a real-world CT dataset (~10 million patients) paired with radiology
• Direct collaboration with fellowship-trained radiologists across chest, body, MSK, neuro, and