Machine Learning Engineering Intern

AeroVironment • Centreville, VA

1d • Onsite

About The Position

AeroVironment’s paid Summer Internship Program offers students an immersive, hands-on experience in the aerospace and defense industry. Interns work alongside AV team members on meaningful projects, developing professional relationships, problem-solving skills, and practical experience in a full-time work environment. This is a 12-week, onsite internship for motivated students currently enrolled in college or recent graduates. Applicants must have a minimum 3.0 GPA; students at the junior level or above are preferred. Internship opportunities are offered across teams and locations throughout the United States. Team, location, and program details are discussed during the interview process. Depending on the team and location, interns willing to relocate may be eligible for a relocation and housing reimbursement stipend.

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

Requirements

• Currently pursuing a bachelor’s degree 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.
• Ability to work in an office and laboratory environment, with the possibility of sitting or standing for long periods and using hands and fingers for computer and communication tasks.
• Must qualify as a U.S. person under ITAR/EAR or be eligible for an export license. Some positions require current U.S. citizenship due to contract requirements.
• The posting states that applicants must be willing to work on government contracts and able to obtain a security clearance.

Nice To Haves

• 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.
• Preference for students at the junior level or above.

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 with writing and testing software to integrate machine learning algorithms into aircraft systems, including autopilots, payloads, and robotic platforms.
• Explore and visualize data to understand 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 evaluating 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 insurance
• Dental insurance
• Vision insurance
• 401(k) with company matching
• 9/80 work schedule
• Paid holiday shutdown
• Potential relocation and housing reimbursement stipend, depending on team and location and willingness to relocate

What This Job Offers

• Career Level: Intern