AI/Machine Learning Engineering Intern

Gecko Robotics develops robotic inspection systems, sensors, and an AI-powered data platform for assessing the health of critical infrastructure. The AI/Machine Learning Engineering Intern will own a scoped machine learning project, build data pipelines and models using real-world inspection data, and integrate the resulting model or workflow into reliable services or tools.

What you'll do:

• 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

What they're looking for:

• Due to government program requirements, candidates must be authorized to work in the United States
• • 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, 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
• • 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

Benefits:

• Company equity
• 401(k) matching
• Gender-neutral parental leave
• Full medical, dental, and vision insurance
• Mental health support
• Ongoing professional development
• Family planning assistance
• Flexible paid time off
• The flexibility to work from home when needed