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Hugging Face Jobs in Washington (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.

ONEGLOBE LLC

Senior Data Scientist

Washington, DC · On-site

Python (pandas, NumPy, scikit-learn, PyTorch, TensorFlow, Hugging Face Transformers, spaCy, NetworkX), R, SQL ML / MLOps: MLflow, Kubeflow, SageMaker, Azure ML, Vertex AI, Weights & Biases, DVC ...

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How much do hugging face jobs pay per hour?

As of Jun 28, 2026, the average hourly pay for hugging face in Washington is $17.51, according to ZipRecruiter salary data. Most workers in this role earn between $14.71 and $20.67 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 Washington? For Hugging Face jobs in Washington, the most frequently searched job titles are:
What job categories do people searching Hugging Face jobs in Washington look for? The top searched job categories for Hugging Face jobs in Washington are:
What cities in Washington are hiring for Hugging Face jobs? Cities in Washington with the most Hugging Face job openings:
Hugging Face jobs near you
Infographic showing various Hugging Face job openings in Washington as of June 2026, with employment types broken down into 9% As Needed, 54% Full Time, 9% Part Time, 3% Temporary, 22% Contract, and 3% Nights. Highlights an 78% Physical, 3% Hybrid, and 19% Remote job distribution, with an average salary of $36,414 per year, or $17.5 per hour.
Senior Software Engineer

Senior Software Engineer

Que Technology Group

Fort George G Meade, MD • On-site

$135K - $179K/yr

Full-time

Medical, Dental, Vision, Life, Retirement, PTO

Posted 22 days ago

Job description

Que Technology Group, Inc., is looking for a motivated Senior AI Engineer to support the Technology Trending Solutions mission, leading the design, development, and deployment of mission-critical AI and analytics solutions within a highly governed environment. The ideal candidate has deep experience implementing analytic governance (e.g., AVG) and AI governance frameworks (e.g., AAA), and can ensure all models, data, and workflows are compliant, auditable, and aligned with customer and enterprise policy. The Senior AI Engineer will integrate advanced AI capabilities through APIs such as OpenAI and AWS Bedrock, and build intuitive front-end experiences using technologies like EX, AWS Amplify, and React. The role requires hands-on expertise with analytic development environments and cloud-native platforms (e.g., GMLearn, Container Yard, AWS SageMaker, AWS EKS), as well as strong agile delivery skills using Scrum or Kanban and tools such as Jira and Confluence. The candidate must be highly proficient with modern version control and model/code management using Git, GitLab, Hugging Face, Bailo (or similar), and demonstrate a proven track record of driving AI solutions from concept through governed production deployment in sensitive, mission-focused environments.
Responsibilities include, but are not limited to:
  • Collaborate closely with customers to build AI workflows and develop analytics based off artifacts to use AI to flag data of interest and summarize.
  • Creatively leverage disparate data to fill knowledge gaps in user activities, collection efforts, and technology discovery.
Required Qualifications:
  • Bachelor's degree plus 8-years of relevant experience or equivalent.
  • Proficiency with object-oriented languages (Python and Java) and experience with PySpark, Jupyter Notebooks, Kubernetes, docker, Elasticsearch, GHOSTMACHINE, and Query Time Analytics.

Preferred Qualifications: 

  • Knowledge of customer corporate tools and data repositories.​
Security Clearance:
  • Active TS/SCI with Polygraph required.

BENEFITS:

  • Competitive salary
  • Company Medical/Dental/Vision plans – Company paid  
  • Short-term Disability, Long-term disability and Life Insurance – Company paid    
  • Business/ First Class travel upgrade for 7 hour or longer flights & company card will be provided for expenses    
  • Vacation / Personal days granted at 25 days per year   
  • Paid Federal Holidays – 11 days    
  • $5,000 Annual Professional Development Fund plus 40 paid hours if in class    
  • 401K with 6% company match; all contributions are immediately vested by Employee   
  • Employee will be paid a bonus of $10,000 per employee hired based on their referral    
  • Up to 3 paid Code Red days due to customer closure

Que Technology Group, Inc., is an equal opportunity employer, and all qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity or expression, pregnancy, age, national origin, disability status, genetic information, protected veteran status, or any other characteristic protected by law.