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Edge Ai Machine Learning Jobs in Washington (NOW HIRING)

Saic

AI/Machine Learning Engineer Principal

Chantilly, VA · On-site

$120K - $160K/yr

... AI/ML systems engineer sought here serves a USG Program Office leading Research & Development (R&D) of evolutionary, revolutionary, and transformational artificial intelligence and machine learning ...

SAIC

AI Machine Learning Developer Principal

Arlington, VA · On-site

$160K - $200K/yr

... edge Artificial Intelligence and Machine Learning (AI/ML) Proof of Concepts (PoCs) specifically tailored for Intelligence Community (IC) mission use cases. This is a dynamic, high-impact set of ...

SAIC

AI/Machine Learning Engineer Principal

Chantilly, VA · On-site

$120K - $160K/yr

... AI/ML systems engineer sought here serves a USG Program Office leading Research & Development (R&D) of evolutionary, revolutionary, and transformational artificial intelligence and machine learning ...

Spear AI

Machine Learning Engineer

Washington, DC · On-site +1

Spear AI is a growing defense contracting company dedicated to delivering cutting-edge solutions ... Integrate machine learning models into real-time and batch processing systems * Optimize model ...

i3

AI/Machine Learning Engineer SME

Washington, DC · Hybrid

$200K - $350K/yr

Overview Integration Innovation, Inc. (i3) is seeking a motivated SME level AI/Machine Learning Engineer to support the Defense Intelligence Agency (DIA) Enterprise Data Management & Analytics (EDMA ...

NT Concepts

Machine Learning Engineer

Chantilly, VA · On-site +1

Our machine learning teams bridge the gap between cutting-edge AI research and operational government missions. We are looking for engineers who can take machine learning and Computer Vision (CV ...

Accenture Federal Services

AI Advisor

Suitland, MD · On-site

... edge AI technologies. * Translate complex technical concepts into actionable strategic ... Strong network within the AI, machine learning, and analytics community * Proficiency with 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 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.

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.

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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 2% Internship, 77% Full Time, 12% Part Time, 2% Temporary, and 7% Contract. Highlights an 81% In-person, 3% Hybrid, and 16% Remote job distribution.

AI/Machine Learning Engineer Principal

Chantilly, VA • On-site

Saic
IT Services • 10K+ employees
Learn more about Saicexternal

$120K - $160K/yr

Other

Posted 17 days ago

SAIC rating

7.7

Company rating: 7.7 out of 10

Based on 82 frontline employees who took The Breakroom Quiz

Job description

Description

SAIC seeks an Artificial Intelligence/Machine Learning Systems Engineer to join our team of professionals providing technical and program services to the U.S. Government (USG). SAIC provides research, engineering, design, analysis, acquisition, development, integration, test, and operations support USG Intelligence Community (IC) and Department of Defense (DoD) customers.

The AI/ML systems engineer sought here serves a USG Program Office leading Research & Development (R&D) of evolutionary, revolutionary, and transformational artificial intelligence and machine learning algorithms. This position provides Systems Engineering & Technical Advisory (SETA) support services.

Job Description:
  • Work with government technical and contracts staff developing program acquisition packages including but not limited to statement of work, Justification & Approval, development of Request for Contract Action Package (RCAP) artifacts, Request For Information (RFI), Request For Proposal (RFP), and executive briefing materials
  • Provide acquisition advisory services during technical and cost evaluations of RFIs and/or proposals in support of source selection
  • Evaluation of advanced AI/ML concepts, systems, technologies, designs, architectures, interfaces into space and ground systems
  • Support Agile SAFe program development processes and activities such as Program Increment (PI) Planning, development of epics, features, and demo coordination
  • Assist USG Program Office with analysis of alternatives to optimize technical, cost, and schedule performance considerations and improve knowledge and understanding of system, technology, and architecture tradeoffs
  • Technical and programmatic support through the entire project life cycle including concept development, system definition, acquisition planning, source selection, system design, development, integration and test, system delivery, and deployment
  • Support systems engineering activities such as risk management, schedule management, and technical performance management
  • Briefings and reports including technical and programmatic assessments presenting analysis, results, conclusions, and recommendations
  • Assessment of white papers and vendor marketing materials
Qualifications Required Qualifications:
  • Active TS/SCI clearance with Poly
  • Assist in Interoffice and Interagency coordination and collaboration
  • Must have bachelor’s degree in science, technology, engineering, or math discipline with minimum of nine (9) years of relevant work experience or seven (7) years with master’s degree
  • Demonstrated acquisition support experience of 5 or more years
  • AI/ML experience
  • Proficient skills using Microsoft Office applications (i.e., Word, Excel, PowerPoint, SharePoint)
  • Proficient skills using Jira and Confluence tools
  • Critical thinking, problem-solving, and analytical skills
  • Interpersonal and communication skills for written reports, group discussion, and oral presentations
Desired Qualifications:
  • Knowledge, skills, abilities, and/or experience in one of more of the following:
    • Systems engineering and integration applied to spacecraft, ground, and launch systems
    • R&D of artificial intelligence/machine learning agents
    • System acquisition, design, development, integration, test, and/or flight operations
    • Artificial Intelligence and/or Machine Learning technologies applied to space systems
    • IC mission, organizations, disciplines, systems, and/or processes
  • Experience working as a SETA
  • General understanding of satellite architecture (payloads and bus sub-systems)
  • General understanding of satellite operations (planning & scheduling, mission management, and command and control

Target salary range: $120,001 - $160,000. The estimate displayed represents the typical salary range for this position based on experience and other factors.

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