AI / Machine Learning Intern

Heven AeroTech; Winchester, Northern (VA, KY); Hybrid; USD 33,000 - 34,000; Part time

Job summary

Heven AeroTech is seeking an AI/ML Intern to support development, testing, and deployment of AI/ML solutions for unmanned aerial systems in a fast-paced aerospace environment.

You will gain hands-on experience with data analysis, ML models, computer vision, and AI-driven technologies while collaborating with software, systems, and engineering teams.

Qualifications

• Currently enrolled in or recently graduated from an accredited college or university pursuing a degree in Computer Science, Artificial Intelligence, Machine Learning, Data Science, Computer Engineering, Software Engineering, Mathematics, Statistics, or a related field.

Responsibilities

• Assist in the development, training, testing, and evaluation of machine learning and artificial intelligence models.

Skills

Python

Machine Learning fundamentals

Data analysis

Strong communication

Team collaboration

Education

CS/AI/ML/Data Science degree (in progress)

Tools

Git

GitHub

TensorFlow

PyTorch

Scikit-learn

Keras

Job description

About Our Company
At Heven AeroTech (Heven), we don’t just believe in the power of people—we build our success on it. As a recognized leader in hydrogen-powered drones, we’ve earned recognition for creating a workplace where innovation thrives, collaboration is second nature, and every employee feels valued. Our culture is anchored in trust and a shared commitment to excellence.

We believe great teams are built on individuals who are humble, hungry, and smart—those who put team success first, take initiative to continuously improve, and demonstrate strong interpersonal awareness. At Heven, your voice matters, your ideas are heard, and your contributions make a tangible impact as you grow through hands‑on experience and collaboration across the team.

Role Summary
The AI/ML Intern will support the development, testing, and deployment of artificial intelligence and machine learning solutions that enhance Heven AeroTech's unmanned aerial systems and business operations. Working alongside software, systems, and engineering teams, the intern will gain hands‑on experience with data analysis, machine learning models, computer vision applications, and AI‑driven technologies in a fast‑paced aerospace environment.

• Assist in the development, training, testing, and evaluation of machine learning and artificial intelligence models.
• Support data collection, cleaning, labeling, and preprocessing activities.
• Conduct exploratory data analysis and generate insights from structured and unstructured datasets.
• Assist with computer vision, object detection, image processing, and autonomous system projects as applicable.
• Develop scripts, tools, and automation solutions to support AI/ML workflows.
• Participate in model validation, performance testing, and optimization efforts.
• Support the documentation of algorithms, datasets, experiments, and technical findings.
• Collaborate with software, systems, and engineering teams on cross‑functional projects.
• Participate in design reviews, technical discussions, and team meetings.
• Follow company policies, procedures, cybersecurity requirements, and engineering best practices.
• Perform other duties and special projects as assigned.

Qualifications & Experience

Required

• Currently enrolled in or recently graduated from an accredited college or university pursuing a degree in Computer Science, Artificial Intelligence, Machine Learning, Data Science, Computer Engineering, Software Engineering, Mathematics, Statistics, or a related field.
• Understanding of machine learning fundamentals and data analysis concepts.
• Experience programming in Python.
• Strong analytical and problem‑solving skills.
• Ability to work independently and collaboratively within a team environment.
• Strong written and verbal communication skills.
• Familiarity with data structures, algorithms, and software development fundamentals.
• Eagerness to learn and contribute in a fast‑paced technical environment.

Preferred

• Experience with machine learning frameworks such as TensorFlow, PyTorch, Scikit‑learn, Keras, or similar tools.
• Experience with data visualization, statistical analysis, or predictive modeling.
• Familiarity with computer vision, image processing, natural language processing, or autonomous systems.
• Experience with Git, GitHub, or software version control systems.
• Experience working with cloud platforms, databases, or large datasets.
• Participation in AI/ML projects, research, hackathons, internships, or open‑source contributions.

Physical Requirements

• Prolonged periods of sitting and working on a computer.
• Frequent use of hands and fingers for typing and operating computer equipment.
• Ability to communicate effectively with team members and stakeholders.
• Ability to occasionally move throughout office, laboratory, warehouse, manufacturing, or flight‑test environments.
• Ability to lift and carry up to 15 pounds occasionally.
• Ability to wear required personal protective equipment (PPE) when entering manufacturing or production areas.

Benefits Overview
Heven AeroTech offers interns valuable hands‑on experience, mentorship from experienced engineering and software professionals, and exposure to cutting‑edge aerospace technologies. Interns gain practical experience applying artificial intelligence and machine learning concepts to real‑world challenges while developing skills that support future career growth.

Equal Employment Opportunity Statement
Heven AeroTech is an Equal Opportunity Employer and considers all qualified applicants without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, veteran status, or any other protected characteristic under applicable law.

Posted Salary Range:

$24 - $25 USD

Voluntary Self-Identification

For government reporting purposes, we ask candidates to respond to the below self-identification survey.Completion of the form is entirely voluntary. Whatever your decision, it will not be considered in the hiringprocess or thereafter. Any information that you do provide will be recorded and maintained in a conf dential file.

As set forth in Heven AeroTech’s Equal Employment Opportunity policy,we do not discriminate on the basis of any protected group status under any applicable law.

If you believe you belong to any of the categories of protected veterans listed below, please indicate by making the appropriate selection.As a government contractor subject to the Vietnam Era Veterans Readjustment Assistance Act (VEVRAA), we request this information in order to measure the effectiveness of the outreach and positive recruitment efforts we undertake pursuant to VEVRAA. Classification of protected categories is as follows:

A "disabled veteran" is one of the following: a veteran of the U.S. military, ground, naval or air service who is entitled to compensation (or who but for the receipt of military retired pay would be entitled to compensation) under laws administered by the Secretary of Veterans Affairs; or a person who was discharged or released from active duty because of a service‑connected disability.

A "recently separated veteran" means any veteran during the three‑year period beginning on the date of such veteran’s discharge or release from active duty in the U.S. military, ground, naval, or air service.

An "active duty wartime or campaign badge veteran" means a veteran who served on active duty in the U.S. military, ground, naval or air service during a war, or in a campaign or expedition for which a campaign badge has been authorized under the laws administered by the Department of Defense.

An "Armed forces service medal veteran" means a veteran who, while serving on active duty in the U.S. military, ground, naval or air service, participated in a United States military operation for which an Armed Forces service medal was awarded pursuant to Executive Order 12985.