Machine Learning Engineer III

Job description

Job responsibilities

• Support development of computer vision and machine learning algorithms capable of detection, classifying, localizing, and tracking objects-of-interest from a group 1 UAV using the existing gimballed camera payload
• Write and test software to support the integration of machine learning algorithms into aircraft (such as autopilots, payloads, or other functional components) or other robotic systems
• Explore and visualize data to gain an understanding of it, then identifying differences in data distribution that could affect
• Implement Machine Learning systems and validate designs through a series of purpose-designed experiments
• Create objectives and develop models that help to achieve them, along with metrics to track their progress
• Perform analysis tasks using AeroVironment and industry developed tools
• Managing available resources such as hardware, data, and personnel so that deadlines are met
• Analyze the ML algorithms to solve a given problem and ranking them by their success probability

Job requirements

• BS in Computer Vision and Machine Learning is required or equivalent combination of education, training, and experience - with qualifications in any of the following fields: Mathematics, Optimization, Computer…
• Minimum of 5 - 8 years' relevant experience
• Familiarity with C/C++ and Matlab required
• Demonstrated ability to troubleshoot complex systems
• Familiarity with office software and computer-based productivity tools
• Proficiency with a deep learning framework such as TensorFlow or Keras
• Proficiency with Python and basic libraries for machine learning such as scikit-learn and pandas
• Expertise in visualizing and manipulating big datasets