ML Research Engineer / Scientist

📋 Description

• Design, train, and evaluate ML models for interpreting CT studies.
• Explore foundation-model approaches for medical imaging at scale.
• Develop vision-language models linking images with radiology reports.
• Identify multiple urgent findings with safe operating points.
• Run end-to-end experiments from hypothesis to production readiness.
• Collaborate with ML/SE teams and radiologists to translate findings.

🎯 Requirements

• Strong ML/DL experience, esp. PyTorch for custom models.
• Deep understanding of architectures, objectives, and training.
• Ability to formulate hypotheses and design experiments.
• Rigorous evaluation, reproducibility, and model validation.
• Experience with large-scale data and distributed training.
• Interested in clinically impactful, real-world problems.

🎁 Benefits

• Fully remote position open to candidates worldwide.
• Location-based base salary with local-market cash pay; no equity in international offers.
• Early disclosure of compensation for your location.
• Work with a real-world CT dataset of ~10 million patients.
• Direct collaboration with fellowship-trained radiologists.
• Opportunity to contribute toward FDA submissions and deployments.