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Machine Learning Engineer, Principal

Company: AeroVironment
Location: Simi Valley
Posted on: September 11, 2020

Job Description:

We are currently seeking a Principal Machine Learning Engineer to join our team.The AeroVironment Engineering Autonomy team is looking to add a Principal level Machine Learning Engineer. The Principal Machine Learning Engineer will have the opportunity to lead engineering development and work with our R&D Group to develop a variety of innovative capabilities - computer vision detection, classification, localization, and tracking solutions for defense and commercial applications. These development efforts will generally be small focused design teams which will require a Principal machine learning engineer to use 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, and lead, a variety of stages of development including requirements definition, concept design, prototyping, detailed design, test and evaluation, and validation and verification testing.Position ResponsibilitiesCreate Strategy and Lead 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.Create Strategy and Write and test software to Lead integration of autonomy algorithms into aircraft (such as autopilots, payloads, or other functional components) or other robotic systems.Exploring and visualizing data to gain an understanding of it, then identifying differences in data distribution that could affectImplement 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 progressCreate and Perform design and analysis tasks and criteria using AeroVironment and industry developed tools.Managing available resources such as hardware, data, and personnel so that deadlines are metCreate Strategy for Analyzing and leading the ML algorithms to solve a given problem and ranking them by their success probabilityPerformance when deploying the model in the real worldVerifying data quality, and/or ensuring it via data cleaningSupervising the data acquisition process if more data is neededCreating and Finding available datasets online that could be used for trainingDefining the preprocessing feature-based engineering to be done on a given datasetDefining data augmentation pipelinesTraining models and tuning their hyper-parametersAnalyzing the errors of the model and designing strategies to overcome themDeploying models to productionStudy and transform data science prototypesDesign machine learning systemsResearch and implement appropriate ML algorithms and toolsDevelop machine learning applications according to requirementsSelect appropriate datasets and data representation methodsCreate and Run machine learning tests and experimentsPerform statistical analysis and fine-tuning using test resultsTrain and retrain systems when necessaryExtend existing ML libraries and frameworksOther Matrixed Skills include:Proficiency with a deep learning framework such as TensorFlow or KerasProficiency with Python and basic libraries for machine learning such as scikit-learn and pandasExpertise in visualizing and manipulating big datasetsProficiency with OpenCVFamiliarity with LinuxAbility to select hardware to run an ML model with the required latencyComputational statisticsMathematical optimizationData miningExploratory data analysisPredictive analyticsSpecial RequirementU.S. Citizenship requiredBasic Qualifications (Required Skills & Experience)BS in Computer Vision and Machine Learning with qualifications in any of the following fields: Mathematics, Optimization, Computer Science/Engineering, Electrical Engineering, Aerospace, or Mechanical Engineering with 15 years relevant experience or MS/Ph.D. related degree with 11 years of relevant experience. Familiarity with C/C++ and Matlab required.Demonstrated ability to troubleshoot complex systems.Excellent verbal and written skills. Must be a team player and collaborate effectively.Familiarity with office software and computer-based productivity tools.Must be willing to work on government contracts and ability to obtain a security clearance.Able to excel in a fast-paced, deadline-driven environment.

Keywords: AeroVironment, Simi Valley , Machine Learning Engineer, Principal, Engineering , Simi Valley, California

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