Ai/Machine Learning Engineering Intern

AI Summary

Job Description

The AI/ML Engineering Intern will work on a defined project to build models and systems that analyze inspection data from wall-climbing robots. Responsibilities include owning a machine learning project, building data pipelines in Python, training and evaluating models, integrating workflows into services, and investigating failure modes on real-world data.

Hard 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 December 2027 and May 2028
• 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
• Ability to independently close knowledge gaps, stay organized, and learn from feedback

Soft Requirements

• Engineer who happens to work in machine learning
• Cares whether a model works on real data
• Comfortable owning the code around the model
• Methodical approach to new problems
• Clear communication about results and uncertainty
• Excited to be the first person to look at a problem
• Graduate-level coursework or research in machine learning, signal processing, or computer vision
• Experience taking a model beyond a notebook
• Experience with LLM APIs, retrieval, information extraction, or document understanding
• Experience with time-series or sensor data
• Exposure to cloud infrastructure, preferably GCP, and to containers such as Docker
• Interest in industrial, defense, or infrastructure applications