Machine Learning Engineering Intern

The Machine Learning Engineering Intern will be a member of the Learning and Active Perception (LEAP) group in AV’s MacCready Works division and support the development of innovative computer vision (detection, classification, localization, and tracking) and other analytics solutions for defense and commercial applications. Support development of computer vision and machine learning (ML) algorithms capable of detection, classifying, localizing, and tracking objects of interest from a variety of stationary and mobile sensor platforms. Implement ML algorithms and validate designs through a series of purpose-designed experiments. Select appropriate datasets and data representations. Analyze errors of the model and design strategies to overcome them. Write and test software to support the integration of machine learning algorithms into aircraft (such as autopilots, payloads, or other functional components) or other systems.

According to JobzMall, the average salary range for a Machine Learning Engineering Intern is between $2,000 and $7,000 per month. This range will depend on the experience of the individual as well as the specific company they are working for. Generally, the most experienced interns will be able to command higher salaries.

AeroVironment, Inc. is an American defense contractor headquartered in Simi Valley, California, that is primarily involved in unmanned aerial vehicles.