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Edge Ai Machine Learning Jobs in Washington (NOW HIRING)

AIToolboard

AI / Machine Learning Engineer

Mclean, VA · On-site

$140 - $190/hr

/AI / Machine Learning Engineer# AI / Machine Learning EngineerCyberMedia TechnologiesMcLean, USFull-time## About the RoleCTEC is a leading technology firm that provides modernization, digital ...

NiyamIT

AI Machine Learning Engineer

Ashburn, VA · On-site

Design, develop, train, and validate advanced AI and machine learning models to support mission-critical use cases for a federal client, ensuring alignment with operational objectives and data ...

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Edge Ai Machine Learning information

What is an Edge AI Machine Learning?

An Edge AI Machine Learning job involves developing and deploying machine learning models directly on edge devices, such as IoT sensors, mobile devices, and embedded systems. This role requires expertise in optimizing AI models for low-power, low-latency environments while ensuring real-time processing. Professionals in this field work with frameworks like TensorFlow Lite, ONNX, and OpenVINO to implement AI solutions efficiently. They must also handle challenges like model compression, hardware acceleration, and data privacy.

What are some typical challenges faced in an Edge AI Machine Learning role, and how can I prepare for them?

One of the most common challenges in Edge AI Machine Learning is optimizing models to run efficiently on hardware with limited resources, while maintaining acceptable accuracy and speed. You may encounter constraints related to memory, processing power, and connectivity, which require creative engineering and a deep understanding of both machine learning and embedded systems. Collaborating closely with hardware engineers, data scientists, and software developers is typical, as solutions often span multiple technical disciplines. To prepare, staying current with advancements in model compression, quantization, and edge deployment technologies will help you tackle these challenges with confidence.

What are the key skills and qualifications needed to thrive in the Edge AI Machine Learning position?

To thrive as an Edge AI Machine Learning professional, you need a strong background in machine learning algorithms, embedded systems, and proficiency with programming languages such as Python or C++. Familiarity with edge computing platforms (like NVIDIA Jetson, Google Coral), frameworks (TensorFlow Lite, ONNX), and certifications in AI or ML can greatly enhance your qualifications. Strong problem-solving abilities, collaboration, and effective communication skills are important for adapting solutions to diverse environments and working cross-functionally. These abilities enable the successful deployment of efficient and robust AI models directly on devices, meeting the unique challenges of real-time, resource-constrained settings.

How to become an edge AI machine learning engineer?

To become an edge AI machine learning engineer, develop strong skills in machine learning, embedded systems, and programming languages like Python and C++. Gain experience with hardware platforms such as NVIDIA Jetson or Raspberry Pi, and learn to optimize models for low-power, resource-constrained environments. Earning certifications in AI, embedded systems, or IoT can also enhance your qualifications.
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Edge Ai Machine Learning jobs near you
Infographic showing various Edge Ai Machine Learning job openings in Washington as of August 2026, with employment types broken down into 21% Internship, and 79% Full Time. Highlights an 100% In-person job distribution.

AI Machine Learning Engineer

Lockheed Martin Corporation

Manassas, VA • On-site

Full-time

Re-posted 24 days ago

Lockheed Martin rating

8.2

Company rating: 8.2 out of 10

Based on 391 frontline employees who took The Breakroom Quiz

38th of 72 rated aerospace companies

Job description

WHAT WE'RE DOING
At Lockheed Martin, we're at the forefront of
cutting-edge technology and innovation. Our
campus in Manassas, Virginia is a hub for
engineering excellence, where we tackle some
of the world's most challenging engineering
problems. We pride ourselves on our culture of
creativity, excellence, and product innovation.
WHO WE ARE
In this exciting role, you will have the
opportunity to collaborate with industry-leading
design professionals and contribute to
groundbreaking projects. Be a part of the
Lockheed Martin Rotary and Mission Systems (RMS) Artificial Intelligence (AI) team working with the Advanced Development Team on the
Integrated Common Processor (ICP) program.
The ICP program provides a common
Integrated Undersea Surveillance Systems
(IUSS) signal processing and display system
software and hardware suite for the US Navy.
Work with our team as we develop cutting
edge tools for our Navy customer through the integration of Artificial Intelligence and
Machine Learning capabilities into tactical
systems.
In this position you will be responsible for:
Software development and debugging of an MLOps workflow integrated into a tactical system both in the lab and at customer sites
Dataset curation, labeling, and training AI/ML models
Validating and analyzing AI/ML algorithm results, iteratively improving results
Generating data sets for use by the team in
system testing and algorithm development
Traveling to the tactical site to exercise the ML lifecycle (up to 25% of the time)
WHO YOU ARE
To excel in this role, you should possess the
following qualifications and attributes:
An innovative mindset, capable of finding
solutions to complex engineering challenges.
Commitment to excellence, attention to detail,
and a dedication to delivering high-quality
results.
Why Join Us
Your Health, Your Wealth, Your Life
Joining Lockheed Martin means becoming part
of a team that's making a significant impact in
the field of engineering. When you choose to
work with us, you'll enjoy:
An excellent working environment equipped
with state-of-the-art tools.
The opportunity to work alongside industry
leaders and top-notch design professionals as
well as Subject Matter Experts in Sonar and
Acoustics.
A chance to be a part of solving some of the
world's most challenging engineering problems
regarding highly complex and integrated
subsystems.
A culture that encourages creativity,
excellence, and the development of remarkable
products.

What Lockheed Martin employees say

Pay

Benefits

Hours and flexibility

Workplace

Get the full story on Breakroom

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About Lockheed Martin

Sourced by ZipRecruiter

As a global security and aerospace company, the majority of Lockheed Martin's business is with the U.S. Department of Defense and U.S. federal government agencies.The remaining portion of Lockheed Martin's business is comprised of international government and commercial sales of products, services and platforms.

Industry

Manufacturing

Company size

10,000+ Employees

Headquarters location

Bethesda, MD, US

Year founded

1912

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