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Edge Ai Jobs in Silver Spring, MD (NOW HIRING)

Hatch IT

AI/ML Engineer

Washington, DC · On-site

$130K - $170K/yr

The ideal candidate has strong expertise in applied machine learning, modern LLM technologies, edge AI optimization, and production deployment of AI systems. Security Clearance : Eligible to obtain ...

Expression Networks

AI/ML Engineer

Washington, DC · On-site

$130K - $170K/yr

The ideal candidate has strong expertise in applied machine learning, modern LLM technologies, edge AI optimization, and production deployment of AI systems. Security Clearance : Eligible to obtain ...

Expression

AI/ML Engineer

Washington, DC · On-site

$130K - $170K/yr

The ideal candidate has strong expertise in applied machine learning, modern LLM technologies, edge AI optimization, and production deployment of AI systems. Security Clearance : Eligible to obtain ...

Expression Networks

AI/ML Engineer

Washington, DC · On-site

$140 - $190/hr

The ideal candidate has strong expertise in applied machine learning, modern LLM technologies, edge AI optimization, and production deployment of AI systems. Security Clearance Eligible to obtain ...

Jobtailor

Principal AI Engineer (Agentic AI)

Vienna, VA · On-site

$180 - $240/hr

Lead the design and implementation of cutting-edge AI systems using large language models to solve complex business problems. * Collaborate with ETS and Business partners to build and drive AI ...

HCI

AI Fall Intern

Ellicott City, MD

$30 - $40/hr

High enthusiasm for bleeding-edge AI technologies , including AI-assisted development, prompt-driven workflows, and modern AI tooling. * Self-motivated and proactive , with the ability to take ...

HCI

AI Developer Fall Intern

Ellicott City, MD

$30 - $40/hr

High enthusiasm for bleeding-edge AI technologies , including AI-assisted development, prompt-driven workflows, and modern AI tooling. * Self-motivated and proactive , with the ability to take ...

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Edge Ai information

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How much do edge ai jobs pay per hour?

As of Aug 19, 2026, the average hourly pay for edge ai in Silver Spring, MD is $20.98, according to ZipRecruiter salary data. Most workers in this role earn between $13.89 and $24.86 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 are popular job titles related to Edge Ai jobs in Silver Spring, MD?

For Edge Ai jobs in Silver Spring, MD, the most frequently searched job titles are:

What job categories do people searching Edge Ai jobs in Silver Spring, MD look for?

The top searched job categories for Edge Ai jobs in Silver Spring, MD are:

What cities near Silver Spring, MD are hiring for Edge Ai jobs?

Cities near Silver Spring, MD with the most Edge Ai job openings:

Edge Ai jobs near you
Infographic showing various Edge Ai job openings in Silver Spring, MD as of August 2026, with employment types broken down into 72% Full Time, 24% Part Time, and 4% Contract. Highlights an 65% Physical, 5% Hybrid, and 30% Remote job distribution, with an average salary of $43,642 per year, or $21 per hour.

AI/ML Engineer

Hatch IT

Washington, DC • On-site

$130K - $170K/yr

Full-time

Medical, Dental, Vision, Life, Retirement, PTO

This job post has expired today. Applications are no longer accepted.

Job description

hatch I.T. is partnering with Expression to find an AI/ML Engineer. See details below:

About The Role:

Expression is seeking an experienced AI/ML Engineer to design, optimize, and evaluate machine learning capabilities that operate efficiently on heterogeneous edge computing platforms. Working closely with software engineers, you will develop AI pipelines that enable intelligent signal characterization, data prioritization, distributed inference, and decision support while operating within constrained compute, bandwidth, and communications environments.

The ideal candidate has strong expertise in applied machine learning, modern LLM technologies, edge AI optimization, and production deployment of AI systems.

Security Clearance: Eligible to obtain Secret or Top Secret Clearance (U.S citizenship required)

About the Company:

Founded in 1997 and headquartered in Washington DC, Expression provides data fusion, data analytics, software engineering, information technology, and electromagnetic spectrum management solutions to the U.S. Department of Defense, Department of State, and national security community. Expression's "Perpetual Innovation" culture focuses on creating immediate and sustainable value for their clients via agile delivery of tailored solutions built through constant engagement with their clients. Expression was ranked #1 on the Washington Technology 2018's Fast 50 list of fastest growing small business Government contractors and a Top 20 Big Data Solutions Provider by CIO Review.

Responsibilities:
  • Design and implement AI capabilities supporting intelligent data characterization, classification, prioritization, and decision support.
  • Evaluate, optimize, and deploy open-weight foundation models appropriate for resource-constrained edge environments.
  • Develop efficient inference pipelines supporting heterogeneous compute environments ranging from embedded processors to workstation-class systems.
  • Implement Retrieval-Augmented Generation (RAG), semantic search, and knowledge retrieval capabilities where appropriate.
  • Design AI orchestration workflows supporting distributed inference across multiple edge devices.
  • Develop evaluation methodologies for AI accuracy, latency, resource utilization, and operational performance.
  • Implement model monitoring, observability, testing, and automated evaluation frameworks.
  • Collaborate with software engineers to integrate AI models into production software platforms.
  • Optimize models using quantization, pruning, distillation deployment technologies.
  • Support experimentation involving multimodal data sources, sensor-derived features, and structured mission data.
  • Develop AI governance practices including model evaluation, explainability, responsible AI, and secure deployment.
  • Document model development, evaluation results, and technical recommendations.
  • Support customer demonstrations and prototype evaluations.
Qualifications:
  • Bachelor degree in Computer Science, Artificial Intelligence, Data Science, Electrical Engineering, Applied Mathematics, or related discipline. An advanced degree is preferred.
  • 5-8+ years of professional experience developing production AI or machine learning applications.
  • Strong Python programming experience.
  • Experience with PyTorch.
  • Experience deploying LLMs in production environments.
  • Experience with LangGraph, LangChain, CrewAI, Semantic Kernel, or similar orchestration frameworks.
  • Experience implementing Retrieval-Augmented Generation (RAG).
  • Experience with vector databases and semantic search.
  • Experience deploying AI models on edge or resource-constrained devices.
  • Experience with model optimization techniques including quantization, model compression, or inference acceleration.
  • Experience designing evaluation frameworks for AI systems.
  • Experience with Docker and cloud-native AI deployment.
  • Excellent communication and collaboration skills.
Preferred Qualifications:
  • Experience applying AI to sensor analytics, time-series data, or signal processing.
  • Experience with software-defined radio data, RF analytics, or geospatial data analytics.
  • Experience developing multimodal AI applications.
  • Experience deploying AI across distributed edge computing environments..
  • Experience supporting DoD, Intelligence Community, or Federal customers.
  • Experience working in bandwidth-constrained or disconnected operational environments.
  • Experience supporting National Security or Federal Civilian customers.
$130,000 - $170,000 a year

Benefits:

Expression offers competitive salaries and benefits, such as:

  • 401k matching
  • PPO and HDHP medical/dental/vision insurance
  • Education reimbursement up to $10,000/yr
  • Complimentary life insurance
  • Generous PTO and 11 days of holiday leave
  • Onsite gym facility and trainer
  • Commuter Benefits Plan
  • In-office Cold Brew Coffee
We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses and identifying potential inconsistencies or verification signals in application materials based on available information. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.
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