Back to jobs

Senior Machine Learning & Autonomy Engineering

Pay
$123,500–188,500/yearAnnual period assumed — pay source
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.
Read the full posting
Work setting
Not stated
Employment
Full-time — employment source
Employment type in the employer’s posting: Full time
From the employer’s posting

Before you apply

Work authorization
US citizens onlyUS Citizenship required

What you’ll work on

Full posting
  • 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

From the employer’s posting
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
Education & alternatives
******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

About Aerovironment

We hire the curious, the relentless, the mission-obsessed.

In the employer’s words · Read in context

Apply at Aerovironment

Posting record

Report an error
Status in our records
Live
First seen by us
Aug 7, 202689 days ago
Recorded sightings
211
Last seen by us
Nov 4, 2026

These dates show when we found the posting. Check the employer’s website to confirm it is still accepting applications.

How this job compares

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.

Time since we first saw it

Day 89

Up longer than most. Similar jobs usually come down between day 6 and day 69.

From 4,339 similar postings that came down. Coming down is not always a hire.

Aerovironment is hiring

12 open jobs

Open jobs by the week we first saw them, last 12 weeks.

  • Takes jobs down at a usual pace
Hiring record

See how this role fits your experience

Add your resume and we’ll mark which of these tools you already use, and point out anything in the posting that could rule you out.

  • MATLAB
  • Python
  • PyTorch
Where the posting names them
******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

Your next step

Complete your application on avav.wd1.myworkdayjobs.com. The employer’s form will show what is required.

Applying through Workday

  • You create an account with each employer before you can upload anything. Every Workday employer has its own account, so one sign-up doesn’t carry over.
  • “Autofill with Resume” comes right after sign-in, before the My Information and My Experience steps. Check every field it fills in those steps, since that’s what recruiters see.
  • Your application status lives in that employer’s Candidate Home, under the same sign-in.

Already applied? Track this application

About the role

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.

US government figures for computer and information research scientists

Median yearly pay, May 2025
$140,300
Expected change, 2025 to 2035
21.8% more jobsagainst 3.5% for all jobs

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.

Job description

View original posting ↗

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 details

View original posting ↗

Source notes

Source excerpts

Selected passages from the saved posting. Check the full description for conditions and exceptions.

Pay
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.
Location & working pattern

San Diego, CA

Working pattern and location restrictions need checking in the full posting.

Work authorization
ITAR U.S. Citizenship required

More relevant text appears in the full description.

Find answers in the posting

AI
How answers work

AI selects complete passages from this posting. Check them for conditions and exceptions.

Uses this posting and your question. No profile needed.