ML Research Engineer / Scientist

📋 Description

• Design, train, and evaluate ML models for CT studies at study level
• Research foundation-model approaches for medical imaging at large scale
• Develop vision-language models linking images with radiology terminology
• Identify multiple urgent findings with safe operating points
• Design experiments end-to-end from hypothesis to deployment
• Develop custom architectures, training pipelines, and distributed training

🎯 Requirements

• Strong PyTorch experience for custom architectures and experiments
• Deep understanding of ML architectures, objectives, optimization, training
• Ability to formulate hypotheses, design experiments, and iterate
• Rigorous experimentation, evaluation, reproducibility, validation
• Experience with large-scale datasets and distributed training
• Collaborative with researchers, engineers, and clinicians

🎁 Benefits

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