Pay
Lower than most similar jobs
$124K–$189K against $166K–$240K, the middle half of what similar US postings state.
From 1,279 postings in the last year. Stated ranges, not salaries paid.
San Diego, CA
Live, first seen by us 89 days agoThe salary range for this role is: $123,500 - $188,500 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.Read the full posting
Employment type in the employer’s posting: Full timeFrom the employer’s posting
US Citizenship required
Develop, apply and evaluate machine learning algorithms for drone detection and signal processing
Analyze and manage large datasets to support model training and testing
Automate data processing workflows to improve team efficiency
Apply DSP principles to assist algorithm development, including denoising spectrograms
Analyze real-world data to find root causes and statistical trends
Help with the development, application, and evaluation of machine learning algorithms to address challenging detection and signal processing problems
Analyze and manage large datasets to support model training and testing
Identify opportunities to automate data processing workflows and improve team efficiency
Apply Digital Signal Processing (DSP) principles to assist in algorithm development
Analyze results from real-world data to identify root causes, statistical trends, and insights
******Responsibilities • Help with the development, application, and evaluation of machine learning algorithms to address challenging detection and signal processing problems • Analyze and manage large datasets to support model training and testing • Identify opportunities to automate data processing workflows and improve team efficiency • Apply Digital Signal Processing (DSP) principles to assist in algorithm development • Analyze results from real-world data to identify root causes, statistical trends, and insights • Collaborate with multidisciplinary teams in research and development efforts ******Required Qualifications • Master's degree in Machine Learning, Computer Science, Applied Math, or similar field with 3 years of relevant experience • Strong foundation DSP principles and techniques • Proficiency in Python; MATLAB experience is a plus • Work experience with machine learning, statistical signal processing, or pattern recognition • Strong data handling skills and instincts for working with large, complex datasets • Curiosity and motivation to experiment with new approaches and automation strategies • Good written and verbal communication skills ******Preferred Qualifications • Hands-on experience with PyTorch or similar deep learning frameworks • Familiarity with MLOps practices (model training, versioning, deployment) • Experience with spectral analysis, adaptive filtering, or detection/estimation theory • Demonstrated ability to propose creative solutions to data or workflow challenges • Exposure to Counter-UAS, radar, EW, or defense RF systems • Passion for building impactful products that serve real-world missions
We hire the curious, the relentless, the mission-obsessed.
In the employer’s words · Read in context
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Lower than most similar jobs
$124K–$189K against $166K–$240K, the middle half of what similar US postings state.
From 1,279 postings in the last year. Stated ranges, not salaries paid.
Day 89
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From 4,347 similar postings that came down. Coming down is not always a hire.
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******Responsibilities • Help with the development, application, and evaluation of machine learning algorithms to address challenging detection and signal processing problems • Analyze and manage large datasets to support model training and testing • Identify opportunities to automate data processing workflows and improve team efficiency • Apply Digital Signal Processing (DSP) principles to assist in algorithm development • Analyze results from real-world data to identify root causes, statistical trends, and insights • Collaborate with multidisciplinary teams in research and development efforts ******Required Qualifications • Master's degree in Machine Learning, Computer Science, Applied Math, or similar field with 3 years of relevant experience • Strong foundation DSP principles and techniques • Proficiency in Python; MATLAB experience is a plus • Work experience with machine learning, statistical signal processing, or pattern recognition • Strong data handling skills and instincts for working with large, complex datasets • Curiosity and motivation to experiment with new approaches and automation strategies • Good written and verbal communication skills ******Preferred Qualifications • Hands-on experience with PyTorch or similar deep learning frameworks • Familiarity with MLOps practices (model training, versioning, deployment) • Experience with spectral analysis, adaptive filtering, or detection/estimation theory • Demonstrated ability to propose creative solutions to data or workflow challenges • Exposure to Counter-UAS, radar, EW, or defense RF systems • Passion for building impactful products that serve real-world missions
******Required Qualifications • Master's degree in Machine Learning, Computer Science, Applied Math, or similar field with 3 years of relevant experience • Strong foundation DSP principles and techniques • Proficiency in Python; MATLAB experience is a plus • Work experience with machine learning, statistical signal processing, or pattern recognition • Strong data handling skills and instincts for working with large, complex datasets • Curiosity and motivation to experiment with new approaches and automation strategies • Good written and verbal communication skills ******Preferred Qualifications • Hands-on experience with PyTorch or similar deep learning frameworks • Familiarity with MLOps practices (model training, versioning, deployment) • Experience with spectral analysis, adaptive filtering, or detection/estimation theory • Demonstrated ability to propose creative solutions to data or workflow challenges • Exposure to Counter-UAS, radar, EW, or defense RF systems • Passion for building impactful products that serve real-world missions Clearance Level
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We file this job under ML Engineer, by the work the posting describes.
ML engineers put machine learning models into products. They write the code that trains, ships, serves and monitors models so a recommendation or prediction works for real users.
Postings ask for strong Python and software engineering, a framework such as PyTorch, cloud services, and more and more often experience with large language models.
A data scientist often works out which model to build; an ML engineer makes it run reliably in production.
The government has no code for ML engineers, so these figures are for the closest group, computer and information research scientists.
Source: US Bureau of Labor Statistics, Occupational Employment and Wage Statistics (May 2025) and Employment Projections (2025 to 2035). Occupation code 15-1221.
Worker Type
Regular
Job Description
******About the Role
AeroVironment is seeking a Senior AI/ML Engineer to support the development and deployment of machine learning algorithms that detect and classify drone threats for our Counter-UAS systems. You will work with large-scale RF datasets, applying DSP techniques for denoising and preconditioning spectrograms, building data pipelines, and identifying opportunities to automate manual workflows. This role sits at the intersection of signal processing, statistics, deep learning, and MLOps, working closely with our San Diego AI/ML team, SW engineers, and field test teams to train models, improve data quality, and scale our detection capabilities.
******Responsibilities
• Help with the development, application, and evaluation of machine learning algorithms to address challenging detection and signal processing problems
• Analyze and manage large datasets to support model training and testing
• Identify opportunities to automate data processing workflows and improve team efficiency
• Apply Digital Signal Processing (DSP) principles to assist in algorithm development
• Analyze results from real-world data to identify root causes, statistical trends, and insights
• Collaborate with multidisciplinary teams in research and development efforts
******Required Qualifications
• Master's degree in Machine Learning, Computer Science, Applied Math, or similar field with 3 years of relevant experience
• Strong foundation DSP principles and techniques
• Proficiency in Python; MATLAB experience is a plus
• Work experience with machine learning, statistical signal processing, or pattern recognition
• Strong data handling skills and instincts for working with large, complex datasets
• Curiosity and motivation to experiment with new approaches and automation strategies
• Good written and verbal communication skills
******Preferred Qualifications
• Hands-on experience with PyTorch or similar deep learning frameworks
• Familiarity with MLOps practices (model training, versioning, deployment)
• Experience with spectral analysis, adaptive filtering, or detection/estimation theory
• Demonstrated ability to propose creative solutions to data or workflow challenges
• Exposure to Counter-UAS, radar, EW, or defense RF systems
• Passion for building impactful products that serve real-world missions
Clearance Level
The salary range for this role is:
$123,500 - $188,500AeroVironment 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: http://www.avinc.com/myavbenefits.
We also encourage you to review our company website at http://www.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 requiredSelected passages from the saved posting. Check the full description for conditions and exceptions.
The salary range for this role is: $123,500 - $188,500 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.
San Diego, CA
Working pattern and location restrictions need checking in the full posting.
ITAR U.S. Citizenship required
More relevant text appears in the full description.