ML Research Engineer / Scientist

📋 Description

• Design and train ML models for interpreting CT studies at study level.
• Research foundation-models for medical imaging (3D/volumetric).
• Develop vision-language models linking images with radiology terms.
• Identify multiple findings and maintain safe operating points.
• Run end-to-end experiments from idea to production readiness.
• Build custom architectures, training pipelines, and distributed training.

🎯 Requirements

• Strong practical experience with deep learning, especially PyTorch.
• Deep understanding of ML architectures, objectives, and training.
• Ability to formulate hypotheses and run experiments independently.
• Rigorous evaluation, reproducibility, and model validation.
• Experience with large-scale datasets and distributed training.
• Interest in medically impactful problems; collaboration with clinicians.

🎁 Benefits

• Fully remote position open worldwide.
• Location-based compensation with transparent cash pay.
• Early location-specific compensation details shared.
• Opportunity to work with a real CT dataset of ~10M patients.
• Collaborate with radiologists across multiple specialties.
• Potential path to regulatory submissions and deployment.