The Machine Learning Engineering Intern will support National Grid’s Machine Learning Engineering team in Brooklyn, NY, helping build and maintain the company’s AI Platform. The team develops data pipelines that power machine learning solutions, brings data science models into production, supports Azure cloud infrastructure, and builds tools and platforms for data scientists and engineers across the organization. Working alongside Machine Learning Engineers and Data Scientists, the intern will contribute to machine learning projects, develop tools for the Data Science team, collaborate on data pipelines, and assist with deploying models into production. The internship also provides hands-on experience with Python, SQL, Azure, GitHub, Docker, Kubernetes, and Airflow, along with opportunities to develop technical skills and learn software engineering best practices. The position is based in Brooklyn, and the intern must live within a reasonable commuting distance of the assigned office and within National Grid’s listed service-area footprint. This is a full-time summer internship beginning May 24, 2027. Interns work with a specific team for the duration of the program and participate in training and development activities. The hourly wage is based on the intern’s major, degree type, and class year. The program does not provide relocation, housing assistance, or public transportation reimbursement.
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Job Type
Full-time
Career Level
Intern