ML Research Engineer / Scientist

📋 Description

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

🎯 Requirements

• Strong practical experience with modern ML and DL, especially PyTorch for custom architectures and
• Deep understanding of why architectures/objectives/optimizations work beyond existing
• Ability to formulate hypotheses, design experiments, interpret results, and iterate toward better
• 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 on model reliability.

🎁 Benefits

• Fully remote position open to candidates worldwide.
• Location-flexible compensation with cash-based base salary aligned to local market where you work.
• 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 covering about 10 million patients, paired with
• Direct collaboration with fellowship-trained radiologists across chest, body, MSK, neuro, and