AeroV is looking to develop innovative computer vision solutions for defense and commercial applications using machine learning algorithms, and this internship aims to support the R&D Group in this effort.
Requirements
- 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.
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.
Other
- Currently pursuing a BS in Computer Vision, Machine Learning, Computer Science, Electrical Engineering, or a related field.
- 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.
- Effective communication and teamwork skills.
- Strong initiative and eagerness to learn in a fast-paced R&D environment.
