Senior Machine Learning Engineer (Clinical Team)

📋 Description

• Own the tissue-class segmentation and labeling models for the ultrasound CT clinical analysis
• Retune across 2D per-slice, 3D volumetric, and 2D×3D fusion as reconstructed image inputs are
• Define training/evaluation pipelines, datasets, and metrics from the ground up or from open source
• Work with data labeling contractors, expert clinicians, and our internal cloud/data teams on
• Help productionize models into a versioned, HIPAA-bound analysis service: reproducible/low-latency

🎯 Requirements

• Strong applied ML experience with a track record of developing new models — architecting, training
• Experience with image segmentation (semantic/instance, 2D and ideally 3D/volumetric) and the
• Comfortable moving fluidly between open-ended research iteration and producing quantifiable
• Fluent in modern deep-learning tooling (e.g., PyTorch) and current development practices.
• Comfortable working under design controls, where model changes carry documentation and verification