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Hugging Face Jobs in Virginia (NOW HIRING)

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AI/ML Solution Engineer

Richmond, VA · On-site

Experinece with Scikit-learn, TensorFlow, PyTorch, XGBoost, Hugging Face, and modern architectures (CNNs, RNNs, Transformers). * Experience with CI/CD pipelines, experiment tracking, model monitoring ...

Leidos

Data Scientist

Mclean, VA · On-site

$107K - $195K/yr

Familiarity with NLP libraries and tools (e.g., spaCy, Hugging Face, NLTK, or TensorFlow). * Experience with frequentist statistics, probability, and predictive modeling, along with knowledge of ...

Tetra Tech

Machine Learning Engineer - Remote

Vienna, VA · On-site

$114K - $138K/yr

Hands-on experience with model training frameworks (e.g., TensorFlow, PyTorch, Hugging Face). * Experience with MLOps tools and workflows, particularly on AWS (SageMaker, Lambda, S3, etc.

Leidos

Data Scientist

Mclean, VA · On-site

$107K - $195K/yr

Familiarity with NLP libraries and tools (e.g., spaCy, Hugging Face, NLTK, or TensorFlow). * Experience with frequentist statistics, probability, and predictive modeling, along with knowledge of ...

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How much do hugging face jobs pay per hour?

As of Sep 14, 2026, the average hourly pay for hugging face in Virginia is $15.32, according to ZipRecruiter salary data. Most workers in this role earn between $12.88 and $18.12 per hour, depending on experience, location, and employer.

What is the difference between Hugging Face vs Machine Learning Engineer?

AspectHugging FaceMachine Learning Engineer
Required CredentialsTypically requires knowledge of NLP, deep learning, and Python; certifications are optionalRequires degrees in CS or related fields; experience with ML frameworks; certifications beneficial
Work EnvironmentCollaborative, research-focused, often in tech companies or startupsDevelopment, deployment, and optimization of ML models in various industries
Employer & Industry UsageUsed by AI/ML companies, research labs, and open-source communitiesEmployed across tech, finance, healthcare, and other sectors implementing ML solutions

Hugging Face primarily focuses on NLP tools, libraries, and open-source models, serving as a platform for AI research and development. Machine Learning Engineers develop, implement, and optimize ML models across various domains. While Hugging Face offers resources and tools that ML Engineers use, the roles differ: Hugging Face is a platform, whereas Machine Learning Engineer is a job role involving hands-on model development and deployment.

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Hugging Face jobs near you
Infographic showing various Hugging Face job openings in Virginia as of August 2026, with employment types broken down into 80% Full Time, 17% Part Time, and 3% Contract. Highlights an 89% Physical, 1% Hybrid, and 10% Remote job distribution, with an average salary of $31,875 per year, or $15.3 per hour.

Senior AI Software Engineer

Herndon, VA • On-site

Dark Wolf Solutions, LLC
IT Services • 51 - 200 employees
Learn more about Dark Wolf Solutions, LLCexternal

$130K - $170K/yr

Other

Posted 25 days ago

Job description

Dark Wolfconstructs and deploys data management and analytics solutions for the defense and intelligence communities. We’re proud to boast a world-class engineering team that thrives on rolling up their sleeves to solve your mission’s biggest challenges.
Dark Wolfis seeking a Senior AI Software Engineer to design, build, and integrate AI/ML solutions and microservices. You will work directly on integrating open-source and proprietary models, fine-tuning workflows, constructing RAG (Retrieval-Augmented Generation) applications, and deploying secure software in multi-cloud environments.

Key Responsibilities

  • Fine-tune open-source and proprietary AI models for domain-specific mission requirements.
  • Develop RAG pipelines and vector search integrations using modern AI frameworks.
  • Build, deploy, and manage containerized microservices using Docker and Kubernetes.
  • Integrate automated security scanning tools directly into continuous integration pipelines.
  • Collaborate within Agile teams to break down technical requirements, conduct technical reviews, and mentor junior developers.

Required Qualifications:

  • Clearance: Must be a US Citizen holding an active TS/SCI security clearance with an active Full-Scope Polygraph.
  • Education: Bachelor's degree in Computer Science, Information Systems, Engineering, or a related technical field (Master’s degree preferred).
  • Experience: 4-7 years of software engineering experience.
  • AI Frameworks: Hands-on experience with frameworks such as LangChain, LlamaIndex, or Hugging Face.
  • AI Models: Practical experience fine-tuning Large Language Models (LLMs) and Small Language Models (SLMs).
  • Machine Learning: End-to-end knowledge of model training, dataset curation, and data pipeline design.
  • Programming & Scripting: Strong proficiency in Python, C++, and REST API architecture.
  • Containerization: Proficient with Docker, Kubernetes cluster orchestration, and Helm charts.
  • Agile Frameworks: Active participation in Agile sprint execution, story estimation, and backlog refinement.
  • Multi-Cloud Architecture: Experience configuring and managing cloud services across AWS or Azure GovCloud environments.
  • Security Scanning Tooling: Experience embedding SAST/DAST tools into CI/CD build environments.

Desired Qualifications:

  • Specialized technical certifications such as Kubernetes Certified Administrator (CKA) or AWS Certified Developer/Architect.
  • Experience working on high-assurance or government security projects.

Position Clearance Requirement:

US Citizenship with an active TS/SCI security clearance with Full-Scope Polygraph

Location: Chantilly/Herndon, VA.

Target Salary Range: $130,000.00 – $170,000.00 (Commensurate with specialized expertise and technical skillset).

Equal Opportunity Employer:

We are proud to be an EEO/AA employer Minorities/Women/Veterans/Disabled and other protected categories.

In compliance with federal law, all persons hired will be required to verify identity and eligibility to work in the United States and to complete the required employment eligibility verification form upon hire.

We are strictly looking for direct, full-time W2 employees. We do not engage with third-party staffing agencies, C2C, or 1099 independent contractors for this role.

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