ML Research Engineer / Scientist

📋 Description

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

🎯 Requirements

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

🎁 Benefits

• Fully remote position open to candidates worldwide
• Location-flexible cash-based base salary per local market
• Specific compensation range shared early in hiring
• No equity in international offers; cash pay focused on local market
• Work with real-world CT datasets (~10 million patients)
• Collaborate with fellowship-trained radiologists across specialties