Machine Learning Engineer
Core
Lead development of large language models (LLMs) to advance biomedical research, education, and clinical decision-making at Harvard Medical School.
Role type
Senior Machine Learning Engineer (LLMs)
Builds
Medical LLMs, data transformation infrastructure, and AI APIs for clinical and educational applications.
Domain
Biomedical Informatics / Computational Medicine
Deliverable
production ML models | product features
Required skills
Python deep learning stack (PyTorch, Numpy), large language model fine-tuning, deep learning model optimization, handling large diverse medical datasets (texts, EHRs), experiment tracking (Weights & Biases), API development, interdisciplinary collaboration.
Preferred skills
Master's or PhD in Computer Science/Computational Biology, 3+ years hands-on deep learning for scientific challenges, publications in technical conferences/journals, domain knowledge in biology/medicine.
Technologies
PyTorch, Numpy, Weights & Biases
Responsibilities
Develop and optimize medical LLMs for education and clinical support; collaborate with biologists and clinicians to translate domain requirements into computational solutions; build data ingestion and transformation infrastructure; transform ML models into APIs; lead research AI and data science projects.
Seniority
Senior, hands-on IC