AeroVironment (AV) is a global leader in unmanned aircraft systems and tactical missile systems, seeking a Machine Learning Intern for their Summer Internship Program. The role involves supporting the R&D Group in developing innovative computer vision solutions for defense and commercial applications, contributing to various stages of the development process including concept design, prototyping, testing, and evaluation.
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.
Qualification
Required
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.
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.
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.
Preferred
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.
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.
Benefits
Medical
Dental vision
401K with company matching
A 9/80 work schedule
A paid holiday shutdown
At AV, we build shoulder-to-shoulder with our customers, delivering systems shaped by real-world missions, not theoretical requirements.
