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 connecting 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.
• Create custom architectures, training pipelines, loss functions, and distributed training

🎯 Requirements

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

🎁 Benefits

• Fully remote position open to candidates worldwide.
• Location-flexible compensation with base salary determined by local market in the country you work
• Specific compensation range shared early in the hiring process.
• No equity in international offers; cash pay reflects local-market rates.
• Opportunity to work with real-world CT data covering about 10 million patients, paired with
• Direct collaboration with radiologists across chest, body, MSK, neuro, and oncology.