ML Research Engineer / Scientist

📋 Description

• Design, develop, train, and evaluate ML models for CT study interpretation
• Research foundation-model approaches for medical imaging (3D/volumetric)
• Develop vision-language models linking images with radiology terminology
• Identify and prioritize multiple urgent findings with safe operating points
• End-to-end experiments from hypothesis to deployment

🎯 Requirements

• Strong practical ML/DL experience, especially with PyTorch
• Deep understanding of architectures, objectives, optimization, training
• Ability to formulate hypotheses, design experiments, interpret results
• Rigorous experimentation, evaluation, reproducibility, and validation
• Experience with large-scale datasets and distributed training
• Interest in solving technically challenging, real-world problems

🎁 Benefits

• Fully remote position open to candidates worldwide
• Location-flexible compensation based on local market
• Specific compensation range shared early in hiring process
• No equity in international offers; cash pay structured to local market
• Work with real-world CT data covering ~10 million patients
• Direct collaboration with fellowship-trained radiologists