Machine Learning Engineer II

Worker Type

Regular

Job Description

Special Requirements:

Summary
The Machine Learning Engineer II will have the opportunity to interact with R&D Group to develop a variety of innovative computer vision detection, classification, localization, and tracking solutions for defense and commercial applications. These development efforts will generally be small focused design teams which will require a senior machine learning engineer to use a range of skills and tools across traditional engineering, computer science, and mathematical disciplines including computer vision, machine learning, optimization, deep convolutional neural networks, and visual tracking. This position will work on a variety of stages of development including requirements definition, concept design, prototyping, detailed design, test and evaluation and validation and verification testing.

Position 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

Basic Qualifications (Required Skills & Experience)

• 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

Other matrixed skills include:

• 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

Special Requirements:

Other Qualifications & Desired Competencies)

• 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

Physical Demands

• 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)

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:

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.

ITAR

U.S. Citizenship required. Must be willing to work on government contracts and have the ability to obtain a security clearance.