Summer 2027 ML & Computer Vision Intern (UAV)

AV; Minneapolis (MN); On-site; USD 25,000 - 39,000; Full time

Benefits offered by this job

Medical, dental, vision

401K with company match

9/80 work schedule

Paid holidays

Job summary

AeroVironment, Inc. announces a Summer Internship Program in the United States.

This paid 12-week onsite internship offers hands-on experience in cutting-edge computer vision and ML for defense and commercial applications, with exposure to prototyping, testing, and evaluation within an active R&D group. Interns work with a dynamic team on detection, classification, localization, and tracking projects, while developing professional relationships and practical experience in a full-time work

Qualifications

• 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.

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.

Skills

C/C++

MATLAB

Python

Linux

Education

BS in Computer Vision/ML/CS/EE

Tools

OpenCV

Linux

TensorFlow

Keras

Job description

AeroVironment, Inc. announces a Summer Internship Program in the United States.

This paid 12-week onsite internship offers hands-on experience in cutting-edge computer vision and ML for defense and commercial applications, with exposure to prototyping, testing, and evaluation within an active R&D group. Interns work with a dynamic team on detection, classification, localization, and tracking projects, while developing professional relationships and practical experience in a full-time work