Machine Learning Engineer at HarvardUniversity

HarvardUniversity

Boston, MA, us·10h ago

Mid LevelFull-timeMachine LearningData ScienceAI

Salary Range

$102,000 - $138,000 /year

Estimated

This salary is estimated based on similar roles. The actual salary may vary.

The Core for Computational Biomedicine (CCB) in the Department of Biomedical Informatics (DBMI) at Harvard Medical School (HMS) is looking for a Machine Learning Engineer with advanced expertise to lead development of large language models (LLMs) to advance CCB’s mission to leverage data and computation to transform research and education, and to improve health outcomes. CCB provides computational and analytic resources to advance scientific discovery within HMS through its multi-disciplinary team of computational and quantitative scientists who work on collaborative projects both within the center and with members of the HMS community. The selected candidate will play a pivotal role in advancing the center's mission to harness the power of computational techniques in the field of medicine. By developing medical LLMs, the engineer will contribute to educating the next generation of medical students and enhancing clinical decision-making processes. Key Responsibilities: • Develop, implement, and optimize medical large language models tailored to the needs of medical education and clinical decision support. • Collaborate with interdisciplinary teams comprising biologists, clinicians, and data scientists to understand domain-specific requirements and translate them into computational solutions. • Stay updated with the latest advancements in deep learning and machine learning to ensure the models developed are state-of-the-art. • Develop infrastructures for data transformation and ingestion. • Build AI models that make predictions based on large quantities of data. • Explain the usefulness of the AI models created to stakeholders. • Transform machine learning models into APIs to interact with other applications. • Use expert knowledge to lead research AI and data science projects.  

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About HarvardUniversity

Harvard University is a renowned institution of higher education and research, recognized globally for its academic excellence and contributions to various fields of study. Founded in 1636 in Cambridge, Massachusetts, it is the oldest institution of higher education in the United States and has since grown into a comprehensive university with a diverse range of schools and programs. Harvard’s legacy spans nearly four centuries, during which it has established itself as a leader in education, innovation, and intellectual discovery, attracting scholars and students from around the world. The university offers a wide array of undergraduate, graduate, and professional programs across disciplines such as law, medicine, business, engineering, and the humanities. Its main products and services include rigorous academic curricula, cutting-edge research initiatives, and extensive resources like libraries, laboratories, and collaborative centers. Key features of Harvard’s offerings include small class sizes, distinguished faculty, and a strong emphasis on critical thinking and practical application. The institution primarily targets high-achieving students, researchers, and professionals seeking advanced education and career advancement, with a focus on fostering leadership and societal impact. Harvard University holds a distinguished position in the global academic community, consistently ranked among the top universities worldwide. Its notable achievements include pioneering research breakthroughs, influential publications, and the education of numerous world leaders and Nobel laureates. The university’s unique value proposition lies in its unwavering commitment to intellectual curiosity, interdisciplinary collaboration, and the pursuit of knowledge that addresses pressing global challenges. Through its extensive alumni network and partnerships, Harvard continues to shape the future of education and innovation.