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Huggingface Jobs in Washington (NOW HIRING)

Data Scientist - SME (22759)

Mclean, VA · On-site

$200K - $230K/yr

Demonstrated professional or academic experience with the HuggingFace Transformers library and hub * Demonstrated experience creating machine learning models that conduct text classification and ...

Data Scientist

Mclean, VA · On-site

$200K - $240K/yr

Demonstrated professional or academic experience with the HuggingFace Transformers library and hub. * Demonstrated experience creating machine learning models that conduct text classification and ...

Data Scientist

Mclean, VA · On-site

$190K - $225K/yr

Demonstrated professional or academic experience with the HuggingFace Transformers library and hub. * Demonstrated experience creating machine learning models that conduct text classification and ...

Demonstrated professional or academic experience with the HuggingFace Transformers library and hub. 5.Demonstrated experience creating machine learning models that conduct text classification and ...

Demonstrated professional or academic experience with the HuggingFace Transformers library and hub * Demonstrated experience creating machine learning models that conduct text classification and ...

Experience with HuggingFace Transformers libraries and hub. * Experience with creating machine learning models that conduct text classification and topic modeling. * Deep experience leveraging GPUs ...

Data Scientist

Mclean, VA · On-site

$190K - $225K/yr

Demonstrated professional or academic experience with the HuggingFace Transformers library and hub. * Demonstrated experience creating machine learning models that conduct text classification and ...

Demonstrated professional or academic experience with the HuggingFace Transformers library and hub. 5.Demonstrated experience creating machine learning models that conduct text classification and ...

Senior AI Engineer

Arlington, VA · On-site

$120K - $165K/yr

Experience with modern AI frameworks (eg HuggingFace, LangChain, etc.) and designing data pipelines (Airflow, Dagster, or equivalent), * Solid understanding of cloud-based infrastructure (AWS, GCP ...

Experience with HuggingFace Transformers libraries and hub. * Experience with creating machine learning models that conduct text classification and topic modeling. * Deep experience leveraging GPUs ...

Experience with HuggingFace Transformers libraries and hub. * Experience with creating machine learning models that conduct text classification and topic modeling. * Deep experience leveraging GPUs ...

Showing results 41-60

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How much do huggingface jobs pay per hour?

As of Sep 10, 2026, the average hourly pay for huggingface in Washington is $28.28, according to ZipRecruiter salary data. Most workers in this role earn between $16.26 and $33.04 per hour, depending on experience, location, and employer.

What is a Huggingface job?

A Hugging Face job typically refers to a role at Hugging Face, a company specializing in machine learning and natural language processing (NLP). Employees at Hugging Face work on developing and maintaining open-source AI tools, including the popular Transformers library. Roles range from research and engineering to product and community development, often focusing on advancing state-of-the-art AI models.

What does a typical day look like for an engineer working at Hugging Face?

As an engineer at Hugging Face, your day typically involves collaborating with team members to design, develop, and improve state-of-the-art machine learning models and tools, with a strong focus on open-source NLP projects. You’ll participate in code reviews, experiment with new technologies, engage with the community through forums or GitHub, and help support user questions or issues. Expect a fast-paced, collaborative environment where cross-functional teamwork with product managers, researchers, and other engineers is common. The work is project-driven, with plenty of opportunities to contribute ideas, learn from experts, and advance your technical skills.

What are the key skills and qualifications needed to thrive in the Huggingface position, and why are they important?

To thrive in a role at Hugging Face, you typically need strong skills in machine learning, natural language processing (NLP), and software development, supported by a relevant degree in computer science or a related field. Familiarity with frameworks like PyTorch or TensorFlow, plus experience using version control systems such as Git, are often required; open-source contributions and cloud platform knowledge are a plus. Excellent communication, collaborative teamwork, and problem-solving abilities help candidates stand out in this dynamic, innovation-driven environment. These strengths are crucial because they enable individuals to develop high-impact AI tools, work effectively in interdisciplinary teams, and contribute to open-source communities.

What are the most commonly searched types of Huggingface jobs in Washington?

The most popular types of Huggingface jobs in Washington are:

What are popular job titles related to Huggingface jobs in Washington?

For Huggingface jobs in Washington, the most frequently searched job titles are:

What cities in Washington are hiring for Huggingface jobs?

Cities in Washington with the most Huggingface job openings:

Infographic showing various Huggingface job openings in Washington as of August 2026, with employment types broken down into 97% Full Time, and 3% Part Time. Highlights an 85% Physical, 2% Hybrid, and 13% Remote job distribution, with an average salary of $58,827 per year, or $28.3 per hour.

Data Scientist - Expert level (22650)

Falls Church, VA

$190K - $210K/yr

Full-time

Re-posted 22 days ago


Key responsibilities

  • Analyze large amounts of data, including raw, text, and sponsor data, to provide business insights.

  • Develop and evaluate NLP models using Python libraries, deep learning frameworks, and language models.

  • Assist in developing performance measurement approaches, conduct statistical analysis, and present findings to senior leadership.


Job description

RenXTech | People-Focused. Mission-Obsessed.

At RenXTech, we're not just different, we're better. We handpick talent, ensuring every team member aligns with our mission and values. This selective approach means you’re surrounded by the best in the industry, working on impactful projects that match your skills and passion.
Join us and experience a workplace that truly puts you first.

Find out more: www.renxtech.com

RenXTech, a wholly owned subsidiary of Buchanan & Edwards, is an Equal Opportunity Employer. The information collected by this application is solely to determine suitability for employment, verify identity, and maintain employment statistics on applicants.

To keep breaking barriers and redefining what's possible, we’re looking for candidates with the following exceptional technical capabilities:

  • Seeking a Data Scientist to analyze large amounts of data (raw, text, sponsor etc.) to provide business insight
  • Must be a U.S. Citizen
  • Must have an Active TS/SCI clearance with Polygraph
  • Demonstrated professional or academic experience performing NLP tasks, including selecting the best Python libraries for a given task, choosing appropriate pre-processing actions, performing analysis, and assessing model performance
  • Demonstrated professional or academic experience using Python NLP packages such as Spacy, Gensim, or NLTK to analyze or process collections of documents
  • Demonstrated professional or academic experience with deep learning frameworks such as PyTorch, Tensorflow, or Keras
  • Demonstrated professional or academic experience with the HuggingFace Transformers library and hub
  • Demonstrated experience creating machine learning models that conduct text classification and topic modeling in Python using standard machine learning (Scikit-learn) or deep learning models
  • Demonstrated academic or professional experience using encoder-decoder and generative language models to perform NLP tasks
  • Demonstrated academic or professional experience communicating methodological choices and model results
  • Demonstrated professional or academic experience and proficiency with SQL to include using common table expressions, set operations, aggregated functions and nested subqueries
  • Demonstrated professional or academic experience with version control systems such as Github and Jenkins
  • Demonstrated experience leveraging GPUs for accelerated computing
  • Develop practical approaches for measuring performance
  • Assist in developing types of measure, the collection of data, analyzing the data, and presenting that data to senior leadership
  • Conduct advanced statistical analysis on personnel, intelligence, and performance metrics
  • Assist in selection or development of appropriate methodology to conduct research
  • Analyze information and provide research findings in a manner that is easily grasped by the customer and consumers
  • Demonstrated experience writing Python scripts that pull data from web-based APIs and relational databases
  • Demonstrated experience with cloud computing development and architecture
  • Demonstrated experience with front-end web development frameworks such as Flask
  • Demonstrated experience developing applications for semantic search
  • Demonstrated experience tuning LLMs on custom data sets and applying results to specific use cases
  • Demonstrated professional or academic experience and proficiency with Tableau to produce visualizations and dashboards

Target salary range: $190,000 - $210,000.
*The estimate displayed is the typical salary range for this position based on experience and other factors.

Website: http://www.renxtech.com
Linkedin: https://www.linkedin.com/company/renegade-technology-llc

BE, and its wholly owned subsidiary RenXTech, are trusted partners to the national security community, delivering future-forward solutions and cutting-edge support across cyber, technical, analytical, intelligence, and mission operations. Headquartered in McLean, Virginia, we combine deep mission understanding with innovative technologies to help clients meet their most vital challenges. We are committed to providing equal employment opportunities in accordance with all applicable federal anti-discrimination laws. We do not discriminate on the basis of race, color, religion, sex, national origin, age, disability, veteran status, or any other status protected by law.

Applicants with disabilities may be entitled to reasonable accommodation under the terms of the Americans with Disabilities Act and certain state or local laws. Please inform the Company's personnel representative if you need assistance completing any forms or to otherwise participate in the application process.

Please provide complete information. An incomplete application may affect your consideration for employment.