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Huggingface Jobs in Washington (NOW HIRING)

Armison Tech

Data Scientist

Mclean, VA

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

Kepora

Data Scientist

Mclean, VA

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

Bridge Core (BCore)

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 ...

B/Core

Data Scientist with Security Clearance

Fairfax, 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 ...

GRVTY

Data Scientist

Mclean, VA · On-site

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

Ardent Principles, Inc

Data Scientist

Mclean, VA · On-site

Professional or academic experience with the HuggingFace Transformers library and hub. * Creating machine learning models that conduct text classification and topic modeling in Python using standard ...

hackerone

Software Engineer, Applied AI

Washington, DC · On-site

Experience integrating LLMs or generative AI models into applications Hands-on experience with ML frameworks such as PyTorch, TensorFlow, or HuggingFace Transformers * Must be able and willing to ...

Kepora

Data Scientist

Potomac, MD

... HuggingFace Transformers library and hub. 5. Demonstrated experience creating machine learning models that conduct text classification and topic modeling in Python using standard machine learning ...

GRVTY

Data Scientist

Mclean, VA

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

Halvik

AI/ML Subject Matter Expert

Vienna, VA · Remote

$195K - $210K/yr

Experience working with LLM frameworks and foundation models like LLaMa-3 and experience working with LLM model repositories like Huggingface * Familiarity with MLOps practices and tools for model ...

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How much do huggingface jobs pay per hour?

As of Jul 13, 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 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 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 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 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 job categories do people searching Huggingface jobs in Washington look for? The top searched job categories for Huggingface jobs in Washington are:
What cities in Washington are hiring for Huggingface jobs? Cities in Washington with the most Huggingface job openings:
Huggingface jobs near you
Infographic showing various Huggingface job openings in Washington as of July 2026, with employment types broken down into 1% Internship, 93% Full Time, and 6% Part Time. Highlights an 84% Physical, 4% Hybrid, and 12% Remote job distribution, with an average salary of $58,827 per year, or $28.3 per hour.
Data Scientist

Data Scientist

Science Applications International Corporation

Mclean, VA • On-site

Full-time

Re-posted yesterday

SAIC rating

7.9

Company rating: 7.9 out of 10

Based on 79 frontline employees who took The Breakroom Quiz

68th of 210 rated it services

Job description


SAIC is seeking a Data Scientist to join our team to provide Subject Matter expertise and support specializing in natural language(NLP) processing and associated data preparation. The ideal candidate will have experienced SQL and Python skills to transform both structured and unstructured data into clear and concise analytic insights. This position in in Mclean, VA and requires a TS/SCI with polygraph.
Key Responsibilities:
  • Work closely with data scientist and technical team to implement requirements.
  • Conduct sophisticated analysis using deployed tools and natural language processing (NLP).
  • Analyze large amounts of raw data, including text data, to provide business insights.
  • Preprocess or clean structured and unstructured data, including text data.
  • Design and implement advanced ETL code and table configurations for complex data sets.
  • Use Structured Query Language (SQL) in Sponsor's Oracle database to develop and organize relevant information with supporting analytics.
  • Author analytic publications and produce ad-hoc reports to include data visualization.
  • Stay current with enterprise metadata collection tools.
  • Provide technical education to staff on an ad-hoc basis.
  • Provide subject matter expertise in natural language processing (NLP).

Qualifications
  • Bachelors and fourteen (14) years or more experience; Masters and twelve (12) years or more experience; PhD or JD and nine (9) years or more experience.
  • 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.
  • Developed practical approaches for measuring performance.
  • Assisted in developing types of measure, the collection of data, analyzing the data, and presenting that data to senior leadership.
  • Conducted advanced statistical analysis on personnel, intelligence, and performance metrics.
  • Assisted in selection or development of appropriate methodology to conduct research.
  • Analyzed information and provide research findings in a manner that is easily grasped by the customer and consumers.
  • TS/SCI with polygraph.

Desired Skills:
  • Experience writing Python scripts that pull data from web-based APIs and relational databases.
  • 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

About Us
SAIC® is a premier mission integrator focused on advancing the power of technology and innovation to serve and protect our world. Our robust portfolio of offerings across the defense, space, intelligence, and civilian markets includes secure high-end solutions in mission IT, enterprise IT, engineering services, and professional services. We integrate emerging technology, rapidly and securely, into mission critical operations that modernize and enable critical national imperatives.
We are approximately 23,000 strong; driven by mission, united by purpose, and inspired by opportunities. SAIC is an Equal Opportunity Employer. Headquartered in Reston, Virginia, SAIC has annual revenues of approximately $7.3 billion. For more information, visit saic.com. For ongoing news, please visit our newsroom.

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