AI / Machine Learning Intern

Heven AeroTech

Winchester (VA)

On-site

USD 33,000 - 34,000

Full time

38 hours ago
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Job summary

Heven AeroTech, a leader in hydrogen-powered drones, seeks an AI/ML Intern to support development, testing, and deployment of AI/ML solutions for unmanned aerial systems. You will work with software, systems, and engineering teams to gain hands-on experience with data analysis, machine learning models, and computer vision in a fast-paced aerospace environment.

Ideal candidates are pursuing or recently completed a degree in CS/AI/DS, with Python experience, strong problem-solving skills, and a

Qualifications

  • Currently enrolled in or recently graduated from a relevant field (CS/AI/DS or related).
  • Fundamental ML and data analysis concepts.
  • Python programming experience.
  • Strong analytical and problem-solving skills.
  • Able to work independently and in a team.
  • Strong written and verbal communication.
  • Familiar with data structures, algorithms, and software fundamentals.
  • Eager to learn in a fast-paced aerospace environment.

Responsibilities

  • Assist in the development, training, testing, and evaluation of machine learning 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, and autonomous system projects.
  • Develop scripts, tools, and automation solutions to support AI/ML workflows.
  • Participate in model validation, performance testing, and optimization efforts.
  • Support documentation of algorithms, datasets, experiments, and findings.
  • Collaborate with software, systems, and engineering teams on cross-functional projects.
  • Participate in design reviews and technical discussions.
  • Follow cybersecurity requirements and engineering best practices.
  • Perform other duties and special projects as assigned.

Skills

Python programming
ML fundamentals
Analytical thinking
Communication skills
Team collaboration

Education

Pursuing CS/AI/DS degree

Tools

TensorFlow
PyTorch
Scikit-learn
Keras
Git
Cloud platforms

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

This position requires candidates be U.S. citizens who are legally authorized to work in the United States without the need for employer sponsorship now or in the future.

This position requires access to information that is subject to compliance with the International Traffic Arms Regulations ("ITAR") and/or the Export Administration Regulations ("EAR"). In order to comply with the requirements of the ITAR and/or the EAR, applicants must qualify as a U.S. person under the ITAR and the EAR, or a person to be approved for an export license by the governing agency whose technology comes under its jurisdiction. Please understand that any job offer that requires approval of an export license will be conditional on Heven AeroTech's determination that it will be able to obtain an export license in a time frame consistent with Heven AeroTech's business requirements. A "U.S. person" according to the ITAR definition is a U.S. citizen, U.S. lawful permanent resident (green card holder), or protected individual such as a refugee or asylee. See 22 CFR § 120.15. Some positions will require current U.S. Citizenship due to contract requirements.

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