Machine Learning and Generative AI Engineer – Boston

Harvard University is seeking a Machine Learning and Generative AI Engineer to lead the development of innovative AI products across the full lifecycle, collaborating with data scientists and engineers to operationalise models and advance GenAI capabilities. Responsibilities include building scalable applications, automating pipelines, implementing compliance guardrails, and developing frameworks for model deployment and monitoring. The role requires expertise in AI model development, deployment in cloud environments, and establishing best practices in software engineering. Candidates should have extensive experience with Python, SQL, PyTorch or TensorFlow, and big data tools, alongside strong knowledge of LLMs and transformer architectures. The position involves mentoring team members, ensuring applications are safe, and contributing to open-source initiatives, all within Harvard's dynamic and collaborative environment.