Machine Learning Engineer II at AeroVironment in Manassas, VA

Summary The Machine Learning Engineer II will be a member of the Learning and Active Perception (LEAP) group in AV’s MacCready Works division and develop a variety of innovative computer vision detection, classification, localization, and tracking solutions for defense and commercial applications.

These development efforts will require a range of skills and tools across traditional engineering, computer science, and mathematical disciplines including computer vision, machine learning, optimization, deep convolutional neural networks, and visual tracking.

This position will work on a variety of stages of development including requirements definition, concept design, prototyping, detailed design, test and evaluation, and validation and verification testing.

Position Responsibilities: 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 Analyze ML algorithms to solve a given problem and rank them by their success probability on new data Set objectives and develop models that help achieve them, along with metrics to track their progress 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 Other duties as assigned Basic Qualifications (Required Skills & Experience): Bachelor of Science in any of the following fields: Computer Science/Engineering, Mathematics, Physics, or related Science or Engineering discipline, Minimum of 2-5 years of relevant experience in in machine learning and/or computer vision Familiarity with C/C++ or Python required Demonstrated ability to troubleshoot complex systems Proficiency with a deep learning framework such as TensorFlow or Keras Proficiency with basic libraries for machine learning such as scikit-learn and pandas Proficiency with OpenCV Familiarity with Linux Visualizing and manipulating big datasets Exploratory data analysis Predictive analytics Other Qualifications & Desired Competencies: Familiarity with office software and computer-based productivity tools Ability to work within defined requirements to complete tasks under moderate supervision Must be a team player and collaborate effectively Excellent verbal and written skills Has effective problem-solving, analytical and interpersonal and communication skills Able to excel in a fast-paced, deadline-driven environment, where small teams share a broad variety of duties Displays strong initiative and drive to accomplish goals and meet company objectives Takes ownership and responsibility for current and past work products Is committed to learning from mistakes and driven to improve and enhance performance of oneself, others, and the company Focuses on teamwork and puts the success of the team above one’s own interests Physical Demands Ability to work in an office environment (Constant) Required to sit and stand for long periods; talk, hear, and use hands and fingers to operate a computer and telephone keyboard (Frequent)Salary Range: $80K $100K Minimum QualificationSystems Architecture & Engineering, Software Development