Job description

Worker Type Regular Job Description Summary The Machine Learning Engineer III will have the opportunity to interact with R&D Group to develop a variety of innovative 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 senior 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 a variety of stages of development including requirements definition, concept design, prototyping, detailed design, test and evaluation and validation and verification testing. Citizenship To qualify for this role US citizenship is required. Position 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 Performance when deploying the model in the real world; Verify data quality, and/or ensure it via data cleaning Analyze the errors of the model and designing strategies to overcome them Study and transform data science prototypes; Research & implement appropriate ML algorithms & tools Select appropriate datasets and data representation methods; Run machine learning tests and experiments Works on problems of diverse scope where analysis of data requires evaluation of identifiable factors; Demonstrates good judgment in selecting methods & techniques for obtaining solutions Other duties as assigned Basic Qualifications (Required Skills & Experience) 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 Science/Engineering, Electrical Engineering, Aerospace, or Mechanical Engineering 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 Other matrixed skills include: 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 Proficiency with OpenCV Familiarity with Linux Ability to select hardware to run an ML model with the required latency Computational statistics Mathematical optimization Data mining Exploratory data analysis Predictive analytics Other Qualifications & Desired Competencies Advanced degree is preferred Works well within defined requirements to complete tasks with little instruction 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 Physical Demands Ability to work in an office and manufacturing 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) Clearance Level No Clearance The salary range for this role is: $129,500 - $197,500 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. ITAR Requirement: 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. Benefits : AV offers an excellent benefits package including medical, dental vision, 401K with company matching, a 9/80 work schedule and a paid holiday shutdown. For more information about our company benefit offerings please visit: avinc.com . We also encourage you to review our company website at avinc.com to learn more about us. Principals only need apply. NO agencies please. About AV: AV isn’t for everyone. We hire the curious, the relentless, the mission-obsessed. The best of the best. We don’t just build defense technology—we redefine what’s possible. As the premier autonomous systems company in the U.S., AV delivers breakthrough capabilities across air, land, sea, space, and cyber. From AI-powered drones and loitering munitions to integrated autonomy and space resilience, our technologies shape the future of warfare and protect those who serve. Founded by legendary innovator Dr. Paul MacCready, AV has spent over 50 years pushing the boundaries of what unmanned systems can do. Our heritage includes seven platforms in the Smithsonian—but we’re not building history, we’re building what’s next. If you re ready to build technology that matters—with speed, scale, and purpose—there’s no better place to do it than AV. We are proud to be an EEO/AA Equal Opportunity Employer, including disability/veterans. AeroVironment, Inc. is an Equal Employment Opportunity (EEO) employer and welcomes all qualified applicants. Qualified applicants will receive fair and impartial consideration without regard to race, sex, color, religion, national origin, age, disability, protected veteran status, genetic data, sexual orientation, gender identity or other legally protected status. ITAR U.S. Citizenship required. Must be willing to work on government contracts and have the ability to obtain a security clearance.

Requirements

Must-haves

To qualify for this role US citizenship is required.
Position 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
Performance when deploying the model in the real world; Verify data quality, and/or ensure it via data cleaning
Analyze the errors of the model and designing strategies to overcome them
Study and transform data science prototypes; Research & implement appropriate ML algorithms & tools
Select appropriate datasets and data representation methods; Run machine learning tests and experiments
Works on problems of diverse scope where analysis of data requires evaluation of identifiable factors; Demonstrates good judgment in selecting methods & techniques for obtaining solutions
Other duties as assigned
Basic Qualifications (Required Skills & Experience)
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

Nice-to-haves

Advanced degree is preferred

Application prep

Use the role’s language and application details while tailoring your materials.

Keywords to mirror

machine learningmlpythonai

Platform: workday
Effort: long

Benefits

Benefits detected in the listing.

Dental

Vision

401k