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Machine Learning Engineer

Pay
$102,000–155,500/yearAnnual period assumed — pay source
The salary range for this role is: $102,000 - $155,500 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.
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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 computer vision and ML algorithms for object detection and tracking

  • Select datasets, label data, and train deep computer vision models

  • Analyze model errors and design strategies to overcome them

  • Write and test software to integrate ML algorithms into aircraft and systems

  • Support on-site experimentation and fielded systems

From the employer’s posting
Support development of computer vision and machine learning (ML) algorithms capable of object detection, classifying, localizing, and tracking objects of interest
Perform visual imagery data science to inform data collection, data labeling, and data selection for training deep computer vision ML algorithms
Analyze errors of the data, model, and design strategies to overcome them
Write and test software to support the integration of machine learning algorithms into aircraft
This specific role also involves on-site support for experimentation and fielded systems

About Aerovironment

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

In the employer’s words · Read in context

Apply at Aerovironment

Posting record

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Status in our records
Live
First seen by us
Oct 2, 202632 days ago
Recorded sightings
98
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

$102K–$156K 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 32

Similar jobs usually come down between day 6 and day 69.

From 4,362 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.

  • C
  • Python
  • pandas
  • PyTorch
  • scikit-learn
  • C++
Where the posting names them
- 2 - 5 years of relevant computer vision experience - Familiarity with Python and C/C++ required - Proficiency with a deep learning framework, preferably PyTorch
- Proficiency with a deep learning framework, preferably PyTorch - Proficiency with basic libraries for machine learning such as, Open-CV, scikit-learn, and pandas - Familiarity with Linux
- Familiarity with Python and C/C++ required - Proficiency with a deep learning framework, preferably PyTorch - Proficiency with basic libraries for machine learning such as, Open-CV, scikit-learn, and pandas

Your next step

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Has Aerovironment posted this job before?

Yes. We’ve followed one other Machine Learning Engineer job there since July 2026. It came down after 9 days.

  1. MarylandCame down after 9 days, first seen Jul 11
  2. This jobUp 33 days so far, first seen Oct 2

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

 

NOTE: to qualify for this role, you must be a U.S. Citizen


Summary


The Machine Learning Engineer will be a member of the Learning and Active Perception (LEAP) group in AV’s MacCready Works division and support the development of a variety of innovative computer vision capabilities (object detection, classification, localization, and tracking) and other image/video analytics for defense and commercial applications. These development efforts require a range of skills and tools across traditional engineering, computer science, and mathematical disciplines including but not limited to data management, computer vision, machine learning, optimization, and deep convolutional neural networks. This position will span multiple stages of the development process including requirements gathering, algorithm design, prototyping, test and evaluation, and validation and verification testing. This specific role also involves on-site support for experimentation and fielded systems requiring a significant amount of extended travel, both domestic and international.

 

Position Responsibilities

  • Support development of computer vision and machine learning (ML) algorithms capable of object detection, classifying, localizing, and tracking objects of interest from a variety of stationary and mobile sensor platforms with the primary purpose of real-time automated target recognition (ATR)
  • Perform visual imagery data science to inform data collection, data labeling, and data selection for training deep computer vision ML algorithms, train the algorithms using the data, and validate data selection and algorithm design through a series of purpose-designed experiments. This includes:
  • 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 data, 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

 

Basic Qualifications (Required Skills & Experience)

  • BS in any of the following fields: Computer Science/Engineering, Mathematics, Physics, or related Science or Engineering discipline with 2+ years of relevant experience in machine learning and/or computer vision.
  • 2 - 5 years of relevant computer vision experience
  • Familiarity with Python and C/C++ required
  • Proficiency with a deep learning framework, preferably PyTorch
  • Proficiency with basic libraries for machine learning such as, Open-CV, scikit-learn, and pandas
  • 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

Other Qualifications & Desired Competencies

  • Familiarity with office software and computer-based productivity tools
  • Ability to work within defined requirements to complete tasks under moderate supervision
  • Must be a team player and collaborate effectively
  • Excellent verbal and written skills
  • Has effective problem-solving, analytical and interpersonal skills
  • Ability to work within defined requirements to complete tasks under moderate supervision
  • 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, and demonstrates a willingness to share the results with other team members and provide feedback and input to teammates working similar problems.
  • Is committed to learning from mistakes and driven to improve and enhance performance of oneself, others, and the company
  • Familiarity with office software and computer-based productivity tools

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 CONUS and OCONUS (Occasionally / up to 25%)
  • Location: Centreville, VA or Minneapolis, MN


Clearance Level

 

No Clearance

The salary range for this role is:

$102,000 - $155,500

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 is required. Secret or Top Secret clearance, or the ability obtain a clearance is desired.
Source details

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Pay
The salary range for this role is: $102,000 - $155,500 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

Centreville, VA

Summary The Machine Learning Engineer will be a member of the Learning and Active Perception (LEAP) group in AV’s MacCready Works division and support the development of a variety of innovative computer vision capabilities (object detection, classification, localization, and tracking) and other image/video analytics for defense and commercial applications. These development efforts require a range of skills and tools across traditional engineering, computer science, and mathematical disciplines including but not limited to data management, computer vision, machine learning, optimization, and deep convolutional neural networks. This position will span multiple stages of the development process including requirements gathering, algorithm design, prototyping, test and evaluation, and validation and verification testing. This specific role also involves on-site support for experimentation and fielded systems requiring a significant amount of extended travel, both domestic and international. Position Responsibilities
Work authorization
Regular Job Description NOTE: to qualify for this role, you must be a U.S. Citizen Summary
More source context
Special Requirements - U.S. Citizenship required - Active Secret level (or higher) DoD security clearance - Willingness and ability to travel CONUS and OCONUS (Occasionally / up to 25%)

More relevant text appears in the full description.

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