AeroVironment
Machine Learning Engineer III
The Machine Learning Engineer III 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) and other analytics 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 but not limited to computer vision, machine learning, optimization, deep convolutional neural networks, and visual tracking. This position will work on all stages of development including requirements definition, concept design, prototyping, detailed design, test and evaluation, and validation and verification testing. Duties
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 Experience
5 - 8 years of relevant experience Familiarity with C/C++ and Python required Proficiency with a deep learning framework, preferably PyTorch Proficiency with basic libraries for machine learning such as scikit-learn and pandas Proficiency with OpenCV Familiarity with Linux Familiarity with Nvidia Tools (CUDA, JetPack, TensorRT) and deployment process to Nvidia GPUs Demonstrated ability to troubleshoot complex systems and perform algorithmic optimization Ability to perform exploratory data analysis, including visualizing and manipulating large datasets Education
BS in any of the following fields: Computer Science/Engineering, Mathematics, Physics, or related Science or Engineering discipline with 5+ years of relevant experience in machine learning and/or computer vision. Advanced degree preferred. Additional Requirements
Familiarity with office software and computer-based productivity tools Ability to work within defined requirements to complete tasks under minimal supervision Must be a team player and collaborate effectively Excellent verbal and written skills Has effective problem-solving, analytical and interpersonal 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 Has effective problem-solving, analytical, interpersonal and communication skills Focuses on teamwork, collaboration 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 keyboard (Frequent) Special Requirements
U.S. Citizenship required Active Secret level (or higher) DoD security clearance Willingness and ability to travel (Occasionally / Up to 20%) The salary range for this role is: $136,807 - $194,040 AeroVironment considers several factors when extending an offer, including but not limited to, the location, the role and associated responsibilities, a candidate's work experience, education/training, and key skills. This position requires access to information that is subject to compliance with the International Traffic Arms Regulations ("ITAR") and/or the Export Administration Regulations ("EAR"). In order to comply with the requirements of the ITAR and/or the EAR, applicants must qualify as a U.S. person under the ITAR and the EAR, or a person to be approved for an export license by the governing agency whose technology comes under its jurisdiction. Please understand that any job offer that requires approval of an export license will be conditional on AeroVironment's determination that it will be able to obtain an export license in a time frame consistent with AeroVironment's business requirements. A "U.S. person" according to the ITAR definition is a U.S. citizen, U.S. lawful permanent resident (green card holder), or protected individual such as a refugee or asylee. See 22 CFR
120.15. Some positions will require current U.S. Citizenship due to contract requirements. AV offers an excellent benefits package including medical, dental vision, 401K with company matching, a 9/80 work schedule and a paid holiday shutdown.
The Machine Learning Engineer III 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) and other analytics 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 but not limited to computer vision, machine learning, optimization, deep convolutional neural networks, and visual tracking. This position will work on all stages of development including requirements definition, concept design, prototyping, detailed design, test and evaluation, and validation and verification testing. Duties
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 Experience
5 - 8 years of relevant experience Familiarity with C/C++ and Python required Proficiency with a deep learning framework, preferably PyTorch Proficiency with basic libraries for machine learning such as scikit-learn and pandas Proficiency with OpenCV Familiarity with Linux Familiarity with Nvidia Tools (CUDA, JetPack, TensorRT) and deployment process to Nvidia GPUs Demonstrated ability to troubleshoot complex systems and perform algorithmic optimization Ability to perform exploratory data analysis, including visualizing and manipulating large datasets Education
BS in any of the following fields: Computer Science/Engineering, Mathematics, Physics, or related Science or Engineering discipline with 5+ years of relevant experience in machine learning and/or computer vision. Advanced degree preferred. Additional Requirements
Familiarity with office software and computer-based productivity tools Ability to work within defined requirements to complete tasks under minimal supervision Must be a team player and collaborate effectively Excellent verbal and written skills Has effective problem-solving, analytical and interpersonal 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 Has effective problem-solving, analytical, interpersonal and communication skills Focuses on teamwork, collaboration 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 keyboard (Frequent) Special Requirements
U.S. Citizenship required Active Secret level (or higher) DoD security clearance Willingness and ability to travel (Occasionally / Up to 20%) The salary range for this role is: $136,807 - $194,040 AeroVironment considers several factors when extending an offer, including but not limited to, the location, the role and associated responsibilities, a candidate's work experience, education/training, and key skills. This position requires access to information that is subject to compliance with the International Traffic Arms Regulations ("ITAR") and/or the Export Administration Regulations ("EAR"). In order to comply with the requirements of the ITAR and/or the EAR, applicants must qualify as a U.S. person under the ITAR and the EAR, or a person to be approved for an export license by the governing agency whose technology comes under its jurisdiction. Please understand that any job offer that requires approval of an export license will be conditional on AeroVironment's determination that it will be able to obtain an export license in a time frame consistent with AeroVironment's business requirements. A "U.S. person" according to the ITAR definition is a U.S. citizen, U.S. lawful permanent resident (green card holder), or protected individual such as a refugee or asylee. See 22 CFR
120.15. Some positions will require current U.S. Citizenship due to contract requirements. AV offers an excellent benefits package including medical, dental vision, 401K with company matching, a 9/80 work schedule and a paid holiday shutdown.