Six Figure Work

Senior Machine Learning & Autonomy Engineering

AeroVironment

Company websiteavinc.com (AeroVironment, opens in new tab)

Base salary $123,500  to $188,500

Employer-published annual base salary, USD. Advertised base range in San Diego, CA

Apply (opens in new tab)

You apply on the employer's own site. Six Figure Work does not handle applications.

  • LocationSan Diego, CA
  • WorkplaceWorkplace not stated
  • Status at last checkSource accepting applications when checked
  • Last checked (1 h ago) · observed since

About this job

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

 

No Clearance

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.

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 required

Source: AeroVironment on Workday · View original posting (opens in new tab)

Pay in context

This role's base floor ($123,500) is above 5% of the 1,504 Data & ML roles in California listed on this site. Their median floor is $189,000; the middle half runs from $159,900 to $229,900.

Only jobs on this site count, and each one publishes a base salary of $100,000 or more, so this compares six-figure jobs with each other, not with the whole market. Computed Nov 6, 2026.

This range next to 6 other live AeroVironment roles with the nearest advertised base floor
Chart as a table
This range next to 6 other live AeroVironment roles with the nearest advertised base floor
RolePublished base
Senior Machine Learning & Autonomy Engineering (this listing)$123,500 - $188,500
Airworthiness & Safety Engineer, Lead$122,500 - $187,000
Sr. Enterprise Applications Analyst - Oracle Fusion Supply Chain Planning$122,500 - $187,000
Senior Electrical Engineer$122,500 - $187,000
Enterprise Applications Analyst, Lead$122,500 - $187,000
Test Equipment Engineer, Sr.$122,500 - $187,000
Lead Software Engineer$122,500 - $187,000

Same $100K to $400K scale as every card. All AeroVironment roles · How to read the bar

Observed changes

  1. First observed on the employer's board
  2. Began meeting the published-salary criteria
Observed since
Employer-stated posting date
2026-08-12
Where this pay comes from

Location as the employer wrote it: San Diego, CA

$123,500 - $188,500

Method
Employer text, read with fixed rules and re-verified
Checked
Rule set
us-base-v2

The pay passage appears in the employer's own job text. Fixed, deterministic rules located it, and the passage below was checked against the stored copy of the posting.

What we verified

  • The pay figures come from the employer's own listing, quoted exactly above.
  • The pay is an annual base salary in US dollars with a minimum of at least $100,000.
  • The role was publicly listed on the employer's job board when last checked.

We do not verify what the employer will actually offer, whether the employer is still recruiting for the role, or anything beyond what the employer published. Full methodology.