Machine Learning Engineering Intern

AeroVironment • Centreville, VA

3d • Onsite

About The Position

This paid, 12-week summer internship is an onsite opportunity for students currently enrolled in college or recent graduates to gain hands-on experience in the aerospace and defense industry. Interns work alongside AV team members on meaningful projects and develop professional relationships, problem-solving skills, and practical experience in a full-time work environment. Applicants must have a minimum 3.0 GPA; preference is given to students at the junior level or above. Relocation and housing reimbursement may be available to students willing to relocate, depending on the team and location. Team, location, and program details are discussed during the interview process.

The Machine Learning Intern supports AV’s R&D Group in developing computer vision solutions for defense and commercial applications. The intern contributes to focused design teams working on object detection, classification, localization, and tracking, and gains exposure to concept design, prototyping, testing, and evaluation.

Requirements

• Currently pursuing a BS in Computer Vision, Machine Learning, Computer Science, Electrical Engineering, or a related field.
• Minimum 3.0 GPA.
• Familiarity with C/C++ and MATLAB.
• Proficiency with office productivity tools.
• Basic troubleshooting skills for technical systems.
• Must qualify as a U.S. person under ITAR/EAR or be eligible for an export license; the posting also states that U.S. citizenship is required.
• Must be willing to work on government contracts and have the ability to obtain a security clearance.

Nice To Haves

• Preference for students at the junior level or above.
• Exposure to deep learning frameworks such as TensorFlow and 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 machine learning, computer vision, mathematical optimization, data mining, and predictive analytics.
• Ability to assist in selecting hardware and software for model deployment.
• 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.

Responsibilities

• Support 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 machine learning algorithms into aircraft systems, including autopilots, payloads, and robotic platforms.
• Explore and visualize data to identify distribution patterns and potential anomalies.
• Assist with implementing machine learning systems and validating designs through experiments.
• Help define objectives, develop models, and track performance using metrics.
• Perform data analysis using AV tools and industry-standard platforms.
• Help manage project resources, including datasets, hardware, and time, to support project timelines.
• Contribute to evaluation of machine learning algorithm performance and model deployment strategies.
• Participate in data preparation, including cleaning and transformation.
• Assist with error analysis and development of corrective strategies.
• Research and experiment with appropriate machine learning algorithms and tools.
• Support tests and experiments on selected datasets and data representations.
• Follow standard procedures to analyze data and support development tasks.
• Perform other duties as assigned.

Benefits

• Medical, dental, and vision benefits.
• 401(k) with company matching.
• 9/80 work schedule.
• Paid holiday shutdown.
• Potential relocation and housing reimbursement stipend, depending on team and location.

What This Job Offers

• Career Level: Intern