The board
- Hours
- Full time
- Where
- Minneapolis, MN
- Posted
- Sep 2
Worker Type
Supplemental
Job Description
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.
What you'd do
- 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.
What they want
- 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.
- 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.
- Machine learning
About AeroVironment
Based in California, AeroVironment (AVAV) is a global leader in unmanned aircraft systems (UAS) and tactical missile systems. Founded in 1971 by celebrated physicist and engineer, Dr. Paul MacCready, we’ve been at the leading edge of technical innovation for more than 45 years. Be a part of the team that developed the world’s most widely used military drones and created the first submarine-launched reconnaissance drone, and has seven innovative vehicles that are part of the Smithsonian Instituti…
- Starts
- 2026-09-01