AI/Machine Learning Engineering Intern

What you'll do

• Own a scoped ML project from problem framing through evaluation and integration; present results and next steps.
• Build Python data pipelines and train, evaluate, and iterate on models using inspection data and related records.
• Integrate models or LLM workflows into tools or services, investigate failure modes, and use reproducible engineering practices.

What they ask for

• Currently pursuing a bachelor’s, master’s, or doctoral degree in a listed or related technical discipline, with expected graduation between December 2027 and May 2028.
• Available to work onsite in New York, Monday through Friday, for the full Summer 2027 internship.
• Strong Python programming experience, including well-structured, tested code beyond notebooks.
• Coursework or project experience in machine learning, including training and evaluating models on real datasets.

Nice to have

• Graduate-level coursework or research in machine learning, signal processing, or computer vision.
• Experience building pipelines, APIs, or tools around models; LLMs, sensor data, or cloud infrastructure are also relevant.

Pay

$50 – $90 per hour (base salary)

Tools

Python, PyTorch, NumPy, pandas, SQL, LLM APIs, Git, GCP

AI focus

Develop, evaluate, and integrate machine-learning models and LLM-based workflows using NDT sensor data, documents, and operational records.