ML Research Engineer / Scientist

📋 Description

• Design, develop, train, and evaluate ML models for interpreting complete CT studies at the study
• Research foundation-model approaches for medical imaging (3D/volumetric learning at scale).
• Develop vision-language models connecting medical images with radiology terminology and reports.
• Identify and prioritize multiple urgent clinical findings with safe operating points.
• Design independent experiments from hypothesis to training, evaluation, and analysis.
• Collaborate with ML and software teams to deploy research into robust systems.

🎯 Requirements

• Strong practical experience with modern ML/DL, especially PyTorch for custom architectures and
• Deep understanding of why architectures/objectives/training strategies work, beyond existing code.
• Ability to formulate hypotheses, design experiments, interpret results, and iterate.
• Experience with rigorous experimentation, evaluation, reproducibility, and model validation.
• Experience with large-scale datasets and distributed training is highly valuable.
• Willingness to learn clinical concepts from radiology experts; medical-AI background is a plus.

🎁 Benefits

• Fully remote position open to candidates worldwide.
• Location-flexible compensation with base salary determined by local market.
• Transparent compensation with no equity in international offers.
• Opportunity to work with real-world CT data (~10 million patients) and radiology reports.
• Collaboration with fellowship-trained radiologists across multiple clinical areas.
• Opportunity to impact FDA submissions, hospital deployments, and patient care.