Machine Learning Engineering Intern

Location: Centreville, VA

Worker Type

Supplemental

Job Description

Intern – Machine Learning (Computer Vision)

Summary

Summer Internship Program

Our paid Summer Internship Program is designed to provide students with an immersive, hands-on experience within the aerospace and defense industry. Interns work alongside AV team members on meaningful projects involving cutting-edge technology while developing professional relationships, strategic problem-solving skills, and practical experience in a full-time work environment.

This is a 12-week, onsite program intended for highly motivated and passionate students who are currently enrolled in college or are recent graduates. Applicants must have a minimum 3.0 GPA, with a preference for students at the junior level or above.

Our program has been recognized by Yello and WayUp as one of the Top 100 Internship Programs in the United States for multiple years.

Depending on the team and location, students who are willing to relocate for their internship may be eligible for a relocation and housing reimbursement stipend.

AV offers internship opportunities across various teams and locations throughout the United States. Specific team, location, and program details will be discussed during the interview process.

As a Machine Learning Intern, you will have the opportunity to support the R&D Group at AV in developing innovative computer vision solutions for defense and commercial applications. You will contribute to small, focused design teams working on detection, classification, localization, and tracking technologies. This internship will expose you to various stages of the development process including concept design, prototyping, testing, and evaluation.

Position Responsibilities

Support the development of computer vision and machine learning algorithms for detecting, classifying, localizing, and tracking objects-of-interest using UAV-mounted gimballed cameras.

Assist in writing and testing software to integrate ML algorithms into aircraft systems (e.g., autopilots, payloads, robotic platforms).

Explore and visualize data to understand distribution patterns and potential anomalies.

Assist in implementing machine learning systems and validating designs through experiments.

Help define objectives, develop models, and track their performance using metrics.

Perform data analysis tasks using AV tools and industry-standard platforms.

Help manage project resources such as datasets, hardware, and time to support project timelines.

Contribute to the evaluation of ML algorithm performance and model deployment strategies.

Participate in data preparation activities, including cleaning and transformation.

Assist in error analysis and developing corrective strategies.

Research and experiment with appropriate ML algorithms and tools.

Support running tests and experiments on selected datasets and data representations.

Follow standard procedures to analyze data and support development tasks.

Perform other duties as assigned.

Basic Qualifications (Required Skills & Experience)

Currently pursuing a BS in Computer Vision, Machine Learning, Computer Science, Electrical Engineering, or a related field.

Familiarity with C/C++ and MATLAB.

Proficiency with office productivity tools.

Basic troubleshooting skills for technical systems.

Other Skills & Qualifications

Exposure to deep learning frameworks (e.g., TensorFlow, Keras).

Familiarity with Python and libraries such as scikit-learn and pandas.

Experience with data visualization and handling large datasets.

Exposure to OpenCV and working in a Linux environment.

Understanding of key concepts in

Machine learning

Computer vision

Mathematical optimization

Data mining

Predictive analytics

Ability to assist in selecting hardware/software for model deployment.

Preferred Qualifications

Effective communication and teamwork skills.

Strong initiative and eagerness to learn in a fast-paced R&D environment.

Willingness to take ownership of tasks and learn from feedback.

Ability to adapt to changing priorities and work independently under supervision.

Physical Demands

Ability to work in an office and lab environment.

May be required to sit or stand for long periods, use hands/fingers for computer and communication tasks.

Clearance Level

No Clearance

The salary range for this role is

AeroVironment considers several factors when extending an offer, including but not limited to, the location, the role and associated responsibilities, a candidate’s work experience, education/training, and key skills.

ITAR Requirement

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 AeroVironment’s determination that it will be able to obtain an export license in a time frame consistent with AeroVironment’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.

Benefits:  AV offers an excellent benefits package including medical, dental vision, 401K with company matching, a 9/80 work schedule and a paid holiday shutdown.  For more information about our company benefit offerings please visit:  http://www.avinc.com/myavbenefits.

We also encourage you to review our company website at http://www.avinc.com to learn more about us.

Principals only need apply.  NO agencies p