ML Research Engineer / Scientist

📋 Description

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

🎯 Requirements

• Strong ML/deep learning experience, especially PyTorch for custom architectures and experiments.
• Deep understanding of why architectures and training strategies work.
• Ability to formulate hypotheses, design experiments, and iterate toward better models.
• Rigid experimentation, evaluation, reproducibility, and validation mindset.
• Experience with large-scale datasets and distributed training is valuable.
• Interest in problems with real-world impact and clinical relevance.

🎁 Benefits

• Fully remote position open to candidates worldwide.
• Location-flexible compensation based on local market in the country you work from.
• Compensation range shared early in the hiring process.
• No equity in international offers; cash pay aligned to local markets.
• Work with a real-world CT dataset covering ~10 million patients.
• Direct collaboration with fellowship-trained radiologists across multiple specialties.