Senior AI Applied Scientist II
Core
Designing and deploying foundation models and multimodal systems for whole-body MRI to enable proactive healthcare.
Role type
Senior AI Applied Scientist (Foundation Models & Multimodal Systems)
Builds
Production-ready foundation models, multimodal systems, and clinical AI workflows for medical imaging.
Domain
Medical Imaging / Health Tech / Deep Learning
Deliverable
production ML models
Required skills
Self-supervised learning, Vision Transformers, multimodal transformers, medical image analysis, generative AI, LLM adaptation, PyTorch, experiment design, validation study scoping, data quality standards, clinical framing, model deployment
Preferred skills
Body composition imaging, FDA 510(k) submission experience, publications in top ML/Medical conferences, interpretable AI, health tech environment experience
Technologies
PyTorch, Vision Transformers, multimodal transformers, foundation models, vision-language models, LLMs
Responsibilities
Lead development of foundation models and multimodal systems for whole-body MRI; Own experiment design and validation study scoping; Drive data quality and annotation criteria; Guide strategic application of generative and agentic AI; Contribute modeling approaches and define research roadmap; Lead clinical review and partner across teams; Deliver production-ready models with documented validation.
Seniority
Senior, hands-on IC with strategic ownership