Machine Learning Engineer

AeroVironment

. Support development of computer vision and machine learning algorithms for object detection, classification, localization, and tracking .

Posted 10/2/2026full-timeUnited StatesJuniorMid-Level💰 $102,000 - $155,500 per yearWebsite

Core Competencies

Role fit

Core Competencies

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Demonstrates expertise in developing and validating machine learning algorithms for computer vision applications, with proficiency in Python, C/C++, and deep learning frameworks like PyTorch. Capable of performing exploratory data analysis and troubleshooting complex systems while collaborating effectively in a team environment.

Highest-signal resume keywords

Machine Learning AlgorithmsComputer VisionPython ProgrammingDeep Learning FrameworksData Analysis

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills

Object DetectionClassificationLocalizationTrackingReal-Time Automated Target RecognitionAlgorithm DesignData RepresentationAlgorithm OptimizationExploratory Data AnalysisVisual Imagery Data Science

Soft Skills

Problem-SolvingAnalytical SkillsInterpersonal SkillsEffective CommunicationTeam Collaboration

Tools & Technologies

PyTorchOpen-CVScikit-learnPandasLinuxNvidia ToolsCUDAJetPackTensorRT

Certifications & Qualifications

Active Secret Level DoD Security Clearance

Industry Keywords

Computer ScienceEngineeringMathematicsPhysicsData Science

Tech Stack

Tools & technologies

LinuxPandasPythonPyTorchScikit-LearnC++

About the role

Key responsibilities & impact

Support development of computer vision and machine learning algorithms for object detection, classification, localization, and tracking
Develop real-time automated target recognition capabilities from stationary and mobile sensor platforms
Perform visual imagery data science to inform data collection, labeling, and selection for deep computer vision ML training
Train algorithms and validate data selection and algorithm design through purpose-designed experiments
Analyze and rank ML algorithms by their success probability on new data
Set objectives, develop models, and define progress metrics
Select appropriate datasets and data representations
Analyze data and model errors and develop strategies to overcome them
Write and test software integrating machine learning algorithms into aircraft and other systems
Participate across requirements gathering, algorithm design, prototyping, testing, evaluation, validation, and verification
Provide on-site support for experimentation and fielded systems
Perform other duties as assigned

Requirements

What you’ll need

U.S. Citizen required
Active Secret level (or higher) DoD security clearance
BS in Computer Science/Engineering, Mathematics, Physics, or related Science or Engineering discipline
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++
Proficiency with a deep learning framework, preferably PyTorch
Proficiency with Open-CV, scikit-learn, and pandas
Familiarity with Linux
Familiarity with Nvidia Tools (CUDA, JetPack, TensorRT) and deployment to Nvidia GPUs
Ability to troubleshoot complex systems and perform algorithmic optimization
Ability to perform exploratory data analysis, including visualizing and manipulating large datasets
Familiarity with office software and computer-based productivity tools
Ability to work within defined requirements under moderate supervision
Ability to collaborate effectively in a team
Excellent verbal and written skills
Effective problem-solving, analytical, and interpersonal skills
Ability to work in a fast-paced, deadline-driven environment
Willingness to travel CONUS and OCONUS, occasionally/up to 25%
Ability to work in an office environment
Ability to sit and stand for long periods and operate a computer keyboard

Benefits

Comp & perks

Medical insurance
Dental insurance
Vision insurance
401K with company matching
9/80 work schedule
Paid holiday shutdown