ZipRecruiter

Log In

1

Hugging Face Jobs in Virginia (NOW HIRING)

QualX Corporation

AI Developer

Springfield, VA · On-site

Proficiency in Python and AI/ML frameworks (TensorFlow, PyTorch, scikit-learn, Hugging Face, etc.). * Familiarity with DoD and Federal records management policies , including metadata standards.

SS Career page

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 ...

Halvik

Machine Learning Engineer - Remote

Vienna, VA · On-site

$140K - $150K/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.

Halvik

Machine Learning Engineer - Remote

Vienna, VA · On-site +1

$140K - $150K/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.

Steampunk

AI Evaluation Scientist

Mclean, VA · On-site

$105K - $145K/yr

Proficiency in Python and relevant libraries such as PyTorch, Hugging Face, scikit-learn, LangChain. * Proficiency in AI evaluation frameworks such as Ragas. * Experience analyzing structured and ...

next page

Showing results 1-20

All JobsHugging Face JobsHugging Face Jobs in Virginia

Hugging Face information

See Virginia salary details

$8

$15

$20

How much do hugging face jobs pay per hour?

As of Jun 26, 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.

Which 3 jobs will survive AI?

Jobs that require complex human interaction, creativity, and critical thinking, such as healthcare professionals, software developers, and educators, are likely to persist despite AI advancements. These roles often involve emotional intelligence, nuanced decision-making, and specialized skills that are difficult for AI to replicate. Continuous learning and adaptability are essential for job security in an evolving AI landscape.

What job makes $10,000 a month without a degree?

High-paying roles that can earn $10,000 a month without a degree include skilled trades such as commercial diving, certain sales positions like real estate or software sales, and specialized tech roles like web development or cybersecurity, which often value skills and certifications over formal education. Success in these jobs typically requires experience, technical skills, or industry certifications, and they may involve self-employment or freelance work.

What jobs pay $2000 a day?

High-paying jobs that can pay around $2000 a day often include specialized roles such as senior software engineers, data scientists, management consultants, and certain freelance or contract positions in finance, law, or technology. These roles typically require advanced skills, extensive experience, and sometimes certifications, and may involve project-based or consulting work with flexible schedules.

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.

How much does Hugging Face pay?

Salaries at Hugging Face vary depending on the role, experience, and location, but the company generally offers competitive compensation for AI and machine learning positions. Entry-level roles may start around $80,000 annually, while more experienced engineers and researchers can earn over $150,000 per year. Benefits often include flexible schedules, remote work options, and opportunities to work with cutting-edge NLP tools.
What are popular job titles related to Hugging Face jobs in Virginia? For Hugging Face jobs in Virginia, the most frequently searched job titles are:
What job categories do people searching Hugging Face jobs in Virginia look for? The top searched job categories for Hugging Face jobs in Virginia are:
What cities in Virginia are hiring for Hugging Face jobs? Cities in Virginia with the most Hugging Face job openings:
Hugging Face jobs near you
Infographic showing various Hugging Face job openings in Virginia as of June 2026, with employment types broken down into 9% As Needed, 52% Full Time, 3% Temporary, 33% Contract, and 3% Nights. Highlights an 78% Physical, 3% Hybrid, and 19% Remote job distribution, with an average salary of $31,875 per year, or $15.3 per hour.
AI Developer

AI Developer

QualX Corporation

Springfield, VA • On-site

Full-time

Posted 5 days ago

Job description

Job Title
AI Developer
Location
Springfield, VA 22150 US (Primary)
Category
Information Technology
Job Type
Full-Time
Career Level
Staff
Education
Bachelor's Degree
Travel
Security Clearance Required
TS
Job Description
Overview
We are seeking a highly skilled AI Developer to design, develop, and deploy advanced artificial intelligence and machine learning solutions in support of both Department of Defense (DoD) and corporate initiatives within a classified environment. The successful candidate will combine technical expertise in AI/ML with experience in data analytics, records management, and regulatory compliance, ensuring solutions are aligned with mission needs and compliant with DoD policies and standards.
Responsibilities
  • Design, develop, and implement AI/ML models, algorithms, and workflows to address mission and business challenges.
  • Apply data analytics methodologies to extract insights from structured and unstructured data, supporting decision-making across DoD and corporate domains.
  • Develop and integrate AI/ML solutions to enhance records management practices, including classification review, metadata tagging, digitization workflows, and compliance with DoD and Federal records requirements.
  • Ensure AI/ML solutions align with and implement relevant DoD policies, rules, and regulations (e.g., RMF, DoDI 5015.02 for records management, DoD AI Ethical Principles, NARA and OMB guidance).
  • Collaborate with DoD stakeholders, program managers, and corporate leadership to define technical requirements and deliver mission-focused solutions.
  • Conduct data engineering tasks, including data curation, feature engineering, and model optimization for classified datasets.
  • Support the integration of AI and analytics into enterprise-level applications and mission systems, ensuring security and scalability.
  • Stay current with cutting-edge AI/ML and data analytics research and recommend practical applications to mission use cases.
  • Mentor junior staff and contribute to corporate AI strategy, including cross-domain training in AI, analytics, and compliance.

Job Requirements
Required Qualifications
  • Active Top Secret clearance (SCI eligibility preferred).
  • Bachelor's degree in Computer Science, Data Science, Engineering, Information Management, or related field; Master's preferred.
  • 5-10+ years of experience in AI/ML development and data analytics.
  • Proficiency in Python and AI/ML frameworks (TensorFlow, PyTorch, scikit-learn, Hugging Face, etc.).
  • Familiarity with DoD and Federal records management policies, including metadata standards.
  • Proven experience developing AI solutions in compliance with DoD rules, regulations, and security frameworks.
  • Strong communication skills with the ability to translate technical outputs into actionable insights for senior leadership.

Desired Qualifications
  • Experience with natural language understanding (NLU), large language models (LLMs), reinforcement learning, and generative AI applied to document/records processing.
  • Familiarity with cloud environments (AWS GovCloud, Azure Government, or on-prem HPC).
  • Experience with DevSecOps practices, CI/CD pipelines, and containerization (Docker, Kubernetes).
  • Knowledge of DoD data management policies, DoDI 5015.02, NARA guidance, and CUI handling.
  • Prior experience supporting Government contracting efforts

We are equal opportunity/affirmative action employers, committed to diversity in the workplace. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, gender identity, sexual orientation, national origin, disability, or protected veteran status, or any other protected characteristic under state or local law.
QualX logo

About QualX

Sourced by ZipRecruiter

Industry

Library and information services

Company size

51 - 200 Employees

Headquarters location

Springfield, VA, US

Year founded

2009

View All QualX Jobs

Apply