AI/Machine Learning Engineering Intern

Job description

Job responsibilities

• Own a scoped machine learning project from problem framing through evaluation and integration, under the guidance of experienced engineers.
• Build data pipelines in Python that clean, label, and structure NDT sensor data, documents, or operational records for model training and inference.
• Train, evaluate, and iterate on models, and design evaluations that reflect how the output will be used in the field.
• Integrate a model or LLM-based workflow into a service or tool that other engineers and Forward Deployment Engineers can use.
• Investigate failure modes on messy, real-world data, document what you find, and recommend what to fix next.
• Use version control, code review, testing, and experiment tracking to produce work others can reproduce and build on.
• Present your project, results, and recommended next steps at the end of the internship.

Job requirements

• Currently pursuing a bachelor’s, master’s, or doctoral degree in computer science, electrical engineering, applied mathematics, physics, or a related technical discipline, with an expected graduation date between…
• Ability to work onsite in New York, Monday through Friday, for the full Summer 2027 internship.
• Strong programming experience in Python, including writing well-structured, tested code beyond notebooks.
• Coursework or project experience in machine learning, including training and evaluating models on real datasets.
• Working understanding of linear algebra, probability, and statistics.
• Working familiarity with Git or similar version control systems.
• Strong written and verbal communication skills, including the ability to explain results, quantify uncertainty, and collaborate on ambiguous problems.
• Ability to independently close knowledge gaps, stay organized, and learn from feedback.