AV is looking to hire a Machine Learning Intern to support the R&D Group in developing innovative computer vision solutions for defense and commercial applications. The intern will contribute to detection, classification, localization, and tracking technologies, gaining experience in various stages of the development process.
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.
- Contribute to the evaluation of ML algorithm performance and model deployment strategies.
Other
- Currently pursuing a BS in Computer Vision, Machine Learning, Computer Science, Electrical Engineering, or a related field.
- 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.
