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Microsoft is the leader in Healthcare AI. Dragon Copilot helps physicians, nurses, radiologists, and other healthcare professionals save time and improve outcomes for patients around the world. In this position you will drive core accuracy improvements to Dragon Copilot for nurses, including flowsheet population and note generation from nurse/patient conversations. We are seeking an Applied Scientist who is curious and self-driven, with strong research skills and comfortable defining a path towards high-level goals. You will analyze data, evaluate new ideas, ship production code and models, and generalize learnings for the broader product.
Job Responsibility:
Conduct research to improve AI accuracy of Microsoft Dragon Copilot for nurses
Integrate your research improvements into production code
Large-scale data analysis to identify trends and opportunities for improvement
Document experiments and communicate results across diverse teams
Requirements:
6+ years of data science experience
6+ years of Python experience
Doctorate or Master's in Computer Science or related field
Nice to have:
4+ years of experience in healthcare AI or related field
2+ years of experience training/fine tuning AI/ML models, preferably LLMs/SLMs
2+ years of experience building Generative AI pipelines, e.g. with RAG (Retrieval augmented generation)
2+ years of experience with Azure Machine Learning (AML) pipelines
A record of publications in scientific venues (NeurIPS, ICML, ICLR, ACL, NAACL, EMNLP, CVPR, etc.)