2

Internship Remote Rf Engineer Jobs in Fairfax, VA

AI/ML Engineer

Washington, DC · On-site +1

$130K - $170K/yr

  • Medical

  • Dental

  • Vision

  • Life

  • Retirement

  • PTO

Experience with software-defined radio data, RF analytics, or geospatial data analytics ... Hybrid or Remote with limited travel Benefits: Expression offers competitive salaries and benefits ...

Entry Level Civil Engineer

Rockville, MD · On-site +1

  • Medical

  • Dental

  • Vision

  • Life

  • Retirement

  • PTO

... Remote) schedule Responsibilities * Design of site and infrastructure improvements including ... EIT preferred. * Prior Internship experience with preparing plans, specifications, and cost ...

Ground Station Lead

Herndon, VA · Remote

$139K - $172K/yr

... RFremote monitoring, * Strong systems thinking across interfaces, mission operations workflows, and service reliability engineering. * Ability to operate autonomously in a fast-paced startup ...

... timing RF remote monitoring, Strong systems thinking across interfaces, mission operations workflows, and service reliability engineering. Ability to operate autonomously in a fast-paced startup ...

... remote sensing, you have a clear grasp of mission design trades, RF spectrum considerations, and ... Bachelor's degree in relevant Engineering (e.g. Aerospace, Mechanical, Electrical, Systems ...

... remote sensing, you have a clear grasp of mission design trades, RF spectrum considerations, and ... Bachelor's degree in relevant Engineering (e.g. Aerospace, Mechanical, Electrical, Systems ...

Showing results 41-60

Internship Remote Rf Engineer information

See Fairfax, VA salary details

$11

$19

$30

How much do internship remote rf engineer jobs pay per hour?

As of Aug 14, 2026, the average hourly pay for internship remote rf engineer in Fairfax, VA is $19.74, according to ZipRecruiter salary data. Most workers in this role earn between $16.44 and $21.39 per hour, depending on experience, location, and employer.

Is it hard to become an internship remote RF engineer?

Becoming a remote RF engineering internship typically requires a strong foundation in electrical engineering, familiarity with RF design and testing tools, and relevant coursework or projects. While competitive, gaining relevant skills and certifications can improve chances, but the difficulty varies based on individual background and the company's requirements.

Is remote RF engineering in demand?

Remote RF engineering is in demand due to the growth of wireless communication, 5G deployment, and IoT technologies. Professionals with skills in signal processing, antenna design, and RF testing are sought after, and remote work options are increasingly available in this field.

What are the key skills and qualifications needed to thrive as a remote RF engineer intern?

To excel as an Internship Remote RF Engineer, you need a solid understanding of radio frequency (RF) principles, basic circuit design, and a relevant engineering degree or coursework in electrical or telecommunications engineering. Familiarity with RF simulation tools like CST, HFSS, or ADS, as well as experience with measurement equipment such as spectrum analyzers and network analyzers, is often required. Strong analytical thinking, problem-solving abilities, and effective communication skills help interns work well in remote teams and contribute to technical discussions. These competencies are crucial for ensuring accurate RF system design, troubleshooting, and successful collaboration in a virtual work environment.

What is a remote RF engineer internship?

A remote RF (Radio Frequency) engineer internship is a training position where interns work from a remote location to assist in designing, analyzing, and testing wireless communication systems and devices. Interns may work on tasks such as signal propagation analysis, antenna design, and troubleshooting RF circuits, all while collaborating with teams virtually. These internships provide practical experience with industry-standard software tools and exposure to telecommunication technologies, preparing students for a career in RF engineering.

What is the difference between Internship Remote Rf Engineer vs Rf Engineer?

AspectInternship Remote Rf EngineerRf Engineer
CredentialsTypically pursuing or recently completed relevant degreeBachelor's or Master's in Electrical Engineering or related field, with experience
Work EnvironmentRemote, internship setting, limited responsibilitiesOn-site or hybrid, full responsibilities in RF design and testing
Employer UsageInternship programs in telecom and electronics companiesFull-time roles in telecom, wireless, and electronics industries

The main difference is that an Internship Remote Rf Engineer is a temporary, entry-level position aimed at gaining experience, often remote, while an Rf Engineer is a full-time professional responsible for RF system design, testing, and optimization in a more permanent capacity.

What is the average salary of an internship remote RF engineer in the US?

The average salary for a remote RF engineering internship in the US typically ranges from $3,000 to $6,000 per month, depending on the company, location, and candidate experience. Interns often gain hands-on experience with RF design, testing, and related tools during their internship period.

What types of projects and responsibilities can I expect as a remote RF engineer intern?

As a remote RF Engineer intern, you will typically work on tasks such as assisting with the design, simulation, and testing of radio frequency circuits and systems. You may be involved in analyzing signal performance, troubleshooting issues, and supporting documentation for ongoing projects. Collaboration with senior engineers and cross-functional teams is common, often through virtual meetings and shared platforms. This exposure provides valuable hands-on experience and insights into the workflow of RF engineering in a professional setting.
Infographic showing various Internship Remote Rf Engineer job openings in Fairfax, VA as of August 2026, with employment types broken down into 100% Full Time. Highlights an 100% Remote job distribution, with an average salary of $41,065 per year, or $19.7 per hour.

AI/ML Engineer

Expression

Washington, DC • On-site, Remote

$130K - $170K/yr

Full-time

Medical, Dental, Vision, Life, Retirement, PTO

Re-posted 7 days ago


Job description

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)

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.

Required 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.

Location: Hybrid or Remote with limited travel

      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

      About Expression:

      Founded in 1997 and headquartered in Washington DC, Expression provides data fusion, data analytics, AI/ML, 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 culture focuses on creating immediate and sustainable value for our clients via agile delivery of tailored solutions built through constant engagement with our 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.

      We make sure to provide everyone with the tools and opportunities to grow while working on some of the newest technologies in the industry. We get excited about celebrating our professionals' milestones, accomplishments, promotions, overcoming challenges, and many other aspects that make an engaging collaborative environment.

      Equal Opportunity Employer/Veterans/Disabled
      Expression is an Equal Opportunity Employer. If you require a reasonable accommodation during the application or interview process, please submit your request to our Human Resources department through the application portal.

      Employment Type: FULL_TIME