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)
• Develop vision-language models linking medical images with radiology terminology
• Identify and prioritize multiple urgent clinical findings with safe operating points
• Run independent experiments from hypothesis to deployment readiness
• Build custom architectures, training pipelines, losses, and distributed training

🎯 Requirements

• Strong practical experience with ML/DL, especially PyTorch for custom models and experiments
• Deep understanding of architectures, objectives, optimization, and training strategies
• Ability to formulate hypotheses, design experiments, and iterate toward better models
• Rigorous experimentation, evaluation, reproducibility, and validation
• Experience with large-scale datasets and distributed training is highly 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 to local market
• Work with real-world CT datasets (~10 million patients) and radiology reports
• Collaboration with radiologists across multiple specialties