Summer 2027 Machine Learning Intern

Job description

Job 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.

Job requirements

• 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.