ML Research Engineer / Scientist

📋 Description

• Design, develop, 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 medical images to radiology terminology.
• Identify and prioritize multiple urgent findings with safe operating points.
• Design experiments from hypothesis to training and analysis.
• Create custom architectures, training pipelines, loss functions, and distributed training.

🎯 Requirements

• Strong practical ML/DL experience, especially PyTorch for custom architectures and experimentation.
• Deep understanding of why architectures and training strategies work.
• Ability to independently form hypotheses, run experiments, and iterate.
• Rigorous experimentation, evaluation, reproducibility, and validation.
• 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 based on local market.
• Early sharing of compensation range for your location.
• No equity in international offers; cash pay aligned with local market.
• Work with a real-world CT dataset of ~10 million patients paired with reports.
• Direct collaboration with radiologists across multiple specialties.