AV · 20 hours ago
Machine Learning Engineer II
AeroVironment (AV) is a global leader in unmanned aircraft systems and tactical missile systems. The Machine Learning Engineer II will work with the R&D Group to develop innovative computer vision detection and tracking solutions for defense and commercial applications, utilizing a variety of machine learning techniques and tools.
AerospaceAir TransportationDronesElectric VehicleElectronicsEnergyGovernmentManufacturing
Responsibilities
Support development of computer vision and machine learning algorithms capable of detection, classifying, localizing, and tracking objects-of-interest from a group 1 UAV using the existing gimballed camera payload
Write and test software to support the integration of machine learning algorithms into aircraft (such as autopilots, payloads, or other functional components) or other robotic systems
Explore and visualize data to gain an understanding of it, then identifying differences in data distribution that could affect
Implement Machine Learning systems and validate designs through a series of purpose-designed experiments
Create objectives and develop models that help to achieve them, along with metrics to track their progress
Perform analysis tasks using AeroVironment and industry developed tools
Managing available resources such as hardware, data, and personnel so that deadlines are met
Analyze the ML algorithms to solve a given problem and ranking them by their success probability
Performance when deploying the model in the real world; Verify data quality, and/or ensure it via data cleaning
Analyze the errors of the model and designing strategies to overcome them
Study and transform data science prototypes; Research and implement appropriate ML algorithms and tools
Select appropriate datasets and data representation methods; Run machine learning tests and experiments
Works on problems of moderate scope where analysis of situations or data requires a review of variety of factors. Exercises judgment within defined procedures and practices to determine appropriate action
Other duties as assigned
Qualification
Required
BS in Computer Vision and Machine Learning is required or equivalent combination of education, training, and experience - with qualifications in any of the following fields: Mathematics, Optimization, Computer Science/Engineering, Electrical Engineering, Aerospace, or Mechanical Engineering
Minimum of 2 – 5 years' relevant experience
Familiarity with C/C++ and Matlab required
Familiarity with office software and computer-based productivity tools
Demonstrated ability to troubleshoot complex systems
Ability to work in an office and manufacturing environment (Constant)
Required to sit and stand for long periods; talk, hear, and use hands and fingers to operate a computer and telephone keyboard (Frequent)
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
Preferred
Proficiency with a deep learning framework such as TensorFlow or Keras
Proficiency with Python and basic libraries for machine learning such as scikit-learn and pandas
Expertise in visualizing and manipulating big datasets
Proficiency with OpenCV
Familiarity with Linux
Ability to select hardware to run an ML model with the required latency
Computational statistics
Mathematical optimization
Data mining
Exploratory data analysis
Predictive analytics
Works well 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
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
Is committed to learning from mistakes and driven to improve and enhance performance of oneself, others, and the company
Benefits
Medical
Dental vision
401K with company matching
A 9/80 work schedule
A paid holiday shutdown
Company
AV
At AV, we build shoulder-to-shoulder with our customers, delivering systems shaped by real-world missions, not theoretical requirements.
Funding
Current Stage
Public CompanyTotal Funding
$1.68B2025-07-01Post Ipo Equity· $875M
2025-07-01Post Ipo Debt· $650M
2023-09-19Post Ipo Equity· $109.01M
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