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Edge Ai Jobs in Reston, VA (NOW HIRING)

AI Systems Engineer

Chantilly, VA · On-site

$152K - $190K/yr

This role supports a dedicated USG Program Office, in shaping, designing, and deploying cutting-edge AI and Machine Learning (AI/ML) initiatives for national security space architectures. Position ...

This role supports a dedicated USG Program Office, in shaping, designing, and deploying cutting-edge AI and Machine Learning (AI/ML) initiatives for national security space architectures. Position ...

S. Citizenship) KEY SUMMARY We are seeking a passionate and innovative AI/ML Engineer to join our team and drive cutting-edge solutions in artificial intelligence and machine learning. In this role ...

S. Citizenship) KEY SUMMARY We are seeking a passionate and innovative AI/ML Engineer to join our team and drive cutting-edge solutions in artificial intelligence and machine learning. In this role ...

S. Citizenship) KEY SUMMARY We are seeking a passionate and innovative AI/ML Engineer to join our team and drive cutting-edge solutions in artificial intelligence and machine learning. In this role ...

S. Citizenship) KEY SUMMARY We are seeking a passionate and innovative AI/ML Engineer to join our team and drive cutting-edge solutions in artificial intelligence and machine learning. In this role ...

Own the full sales cycle from prospecting to close for enterprise AI consulting and implementation engagements. * Target financial services, healthcare, defense, and government. * Build and manage ...

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Edge Ai information

See Reston, VA salary details

$5

$21

$34

How much do edge ai jobs pay per hour?

As of Sep 11, 2026, the average hourly pay for edge ai in Reston, VA is $21.12, according to ZipRecruiter salary data. Most workers in this role earn between $13.99 and $25.00 per hour, depending on experience, location, and employer.

What is the difference between Edge Ai vs Data Scientist?

AspectEdge Ai
Required CredentialsTypically a degree in computer science, electrical engineering, or related fields; certifications in AI or machine learning are common
Work EnvironmentPrimarily involves working with embedded systems, IoT devices, and hardware in diverse locations
Employer & Industry UsageUsed by tech companies, hardware manufacturers, and IoT solution providers focusing on real-time data processing
Common Search & Comparison IntentUnderstanding hardware-focused AI deployment and real-time processing capabilities

Edge Ai specialists focus on deploying AI models directly on hardware devices at the edge, emphasizing real-time processing and hardware integration. Data Scientists, however, primarily analyze data, develop models, and work in cloud or server environments. While both roles involve AI and machine learning, Edge Ai is more hardware-centric, whereas Data Scientists focus on data analysis and model development in software environments.

What is edge AI and how does it work?

Edge AI refers to deploying artificial intelligence algorithms directly on devices at the edge of the network, such as sensors or smartphones, rather than relying on centralized cloud servers. It processes data locally, enabling faster response times, reduced bandwidth use, and improved privacy. Professionals working with edge AI often need skills in embedded systems, machine learning, and hardware integration.

What job categories do people searching Edge Ai jobs in Reston, VA look for?

The top searched job categories for Edge Ai jobs in Reston, VA are:

What cities near Reston, VA are hiring for Edge Ai jobs?

Cities near Reston, VA with the most Edge Ai job openings:

AI/ML SME with Security Clearance

Herndon, VA • On-site

Other

Re-posted 28 days ago


Job description

AI/ML Engineer SME
Location: Choice of Herndon, VA or Arlington, VA
Clearance Requirements: Active TS/SCI Clearance; the customer will sponsor a Full Scope Polygraph is candidate does not possess one already Description:
Signature Federal Systems is seeking a highly skilled AI/ML Machine Learning Engineer to join a cross-functional team of experts in research, data science, software development, physics, and mathematics. As a key member of this team, you will leverage cutting-edge AI/ML tools and techniques to tackle the most complex challenges in Space – all in support of our national security. A perfect candidate would be both very familiar with AI/ML AND have experience with CNO development. This role offers a unique opportunity to collaborate with a diverse group of professionals, drive innovation, and contribute to the development of solutions that address critical problems in the Space domain. The successful candidate will have advanced experience with and/or knowledge of: AI/ML, Deep Learning, or Computer Vision, modern software development practices/languages, and a passion for math and science. Basic Qualifications:
• Bachelor's degree in a STEM discipline (e.g. Electrical Engineering, Computer Science, Computer Engineering, Mathematics, Physics) or equivalent combination of education, training, and experience in a related technical field.
• Advanced experience in Artificial Intelligence, Machine Learning, Deep Learning, Computer Vision, or Image Processing
• Experience with modern software development tools and practices
• TS/SCI clearance required to start Desired Skills:
• Advanced degree in a STEM discipline
• Proficiency in one or more of the following programming languages: Python, Java, C++, C#, or MATLAB
• Experience with TensorFlow, PyTorch, Keras, or Scikit-learn
• Experience with RF, SAR or EO image processing algorithms/techniques
• Experience with AWS or another cloud computing platform
• Excellent written and verbal communication skills
• Ability to work in a collaborative and team-based environment