AI/Machine Learning Engineering Intern

The role

You will own a scoped machine learning project from problem framing through evaluation and integration. You will build data pipelines, train models, and integrate workflows into services using real customer data.

What you will do

• Own a scoped machine learning project from problem framing through evaluation and integration.
• Build data pipelines in Python that clean, label, and structure NDT sensor data, documents, or operational records.
• Train, evaluate, and iterate on models.
• 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.
• Investigate failure modes on messy, real-world data.
• Use version control, code review, testing, and experiment tracking.
• Present your project, results, and recommended next steps at the end of the internship.

Required qualifications

• Currently pursuing a bachelor’s, master’s, or doctoral degree in computer science, electrical engineering, applied mathematics, physics, or a related technical discipline.
• 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.

Nice to have

• Graduate-level coursework or research in machine learning, signal processing, or computer vision.
• Experience taking a model beyond a notebook: building a pipeline, an API, or a tool around it.
• Experience with LLM APIs, retrieval, information extraction, or document understanding.
• Experience with time-series or sensor data, especially ultrasonic, acoustic, or other physical measurements.
• Exposure to cloud infrastructure, preferably GCP, and to containers such as Docker.
• Interest in industrial, defense, or infrastructure applications where reliability matters.

Benefits

• Company equity
• 401(k) matching
• Gender-neutral parental leave
• Full medical, dental, and vision insurance
• Mental health
• Ongoing professional development
• Family planning assistance
• Flexible paid time off

Before you apply

• Candidates must be authorized to work in the United States.

About the company

Gecko Robotics helps organizations ensure the availability, reliability, and sustainability of critical infrastructure. They use wall-climbing robots, sensors, and an AI-powered data platform.