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Agent guide: [/agents.md](https://www.wearedevelopers.com/agents.md). --- # Machine Learning Engineer - **Company:** ScienceJobs.Org - **Location:** Boston, MA, United States - **Experience:** Experienced - **Contract:** Permanent contract - **Skills:** Application Programming Interfaces (APIs), Artificial Intelligence, Health Informatics, Computational Biology, Data Transformation, Python (Programming Language), Machine Learning, NumPy, Pytorch, Large Language Models, Deep Learning, Electronic Medical Records, Information Technology - **Published:** September 2, 2026 - **Apply:** https://sciencejobs.org/job/job/apply?id=7329970 ## About the Role * Minimum of seven years' post-secondary education or relevant work experience., * A Master's or PhD in Computer Science, Computational Biology, or a related field is strongly preferred. * Minimum of 3 years of hands-on experience in developing complex deep learning solutions to tackle scientific challenges. * Proficiency with the Python deep learning software stack, particularly expertise in PyTorch, Numpy, and related packages. * Experience handling and processing large and diverse datasets, especially medical texts, journals, or electronic health records. * Ability to collaborate effectively with non-technical stakeholders, such as doctors and medical researchers. * Experience with experiment tracking and project management tools, notably frameworks like Weights & Biases. * Prior experience in fine-tuning large language models for specific tasks. * Demonstrated experience in optimizing deep learning models for better performance and efficiency. * Understanding of biology and/or medicine to bridge the gap between pure machine learning and its applications in the medical field. * A track record of publications in technical conferences or journals. ## Description 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., * 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. ## Related Videos - [Geometric deep learning for drug discovery](https://www.wearedevelopers.com/videos/264-geometric-deep-learning-for-drug-discovery) - [Getting Started with Machine Learning](https://www.wearedevelopers.com/videos/260-getting-started-with-machine-learning) - [Vectorize all the things! Using linear algebra and NumPy to make your Python code lightning fast.](https://www.wearedevelopers.com/videos/562-vectorize-all-the-things-using-linear-algebra-and-numpy-to-make-your-python-code-lightning-fast) - [Photonic Computing: Programming a New Class of AI Accelerators (incl. Live Coding)](https://www.wearedevelopers.com/videos/100196-photonic-computing-programming-a-new-class-of-ai-accelerators-incl-live-coding) - [Serverless deployment of (large) NLP models ](https://www.wearedevelopers.com/videos/158-serverless-deployment-of-large-nlp-models) - [Machine learning 101: Where to begin?](https://www.wearedevelopers.com/videos/1014-machine-learning-101-where-to-begin) ## Related Articles - [How to Become an AI Engineer](https://www.wearedevelopers.com/magazine/331-how-to-become-an-ai-engineer) - [What Are Large Language Models?](https://www.wearedevelopers.com/magazine/304-what-are-large-language-models) - [What Industries Outside of AI Are Hiring The Most AI Experts?](https://www.wearedevelopers.com/magazine/98-what-industries-outside-of-ai-are-hiring-the-most-ai-experts) - [The Most Popular IT Jobs on the Market](https://www.wearedevelopers.com/magazine/376-the-most-popular-it-jobs-on-the-market) - [MLops – Deploying, Maintaining And Evolving Machine Learning Models in Production](https://www.wearedevelopers.com/magazine/115-mlops-deploying-maintaining-and-evolving-machine-learning-models-in-production) - [MLOps – What’s the deal behind it?](https://www.wearedevelopers.com/magazine/125-mlops-what-s-the-deal-behind-it)