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Huggingface Jobs in Washington (NOW HIRING)

BCC-NIH

Staff Scientist

Bethesda, MD · On-site

  • Medical

  • Dental

  • Vision

  • Retirement

  • PTO

TensorFlow or HuggingFace acceptable) * Deep understanding of neural network architectures (CNNs, transformers, sequence models) * Strong programming skills in Python and experience working in Linux ...

SAIC

Data Scientist

Mclean, VA · On-site +1

$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 ...

SAIC

Data Scientist

Mclean, VA · On-site +1

$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 ...

J5 Consulting

Data Scientist

Mclean, VA · On-site

  • Medical

  • Retirement

  • PTO

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

Bridge Core (BCore)

Data Scientist

Mclean, VA

$190K - $225K/yr

  • Medical

  • Dental

  • Vision

  • Life

  • Retirement

  • PTO

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

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

  • Medical

  • Dental

  • Vision

  • Life

  • Retirement

  • PTO

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

Armison Tech

Data Scientist

Mclean, VA · On-site

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

Bcore

Data Scientist with Security Clearance

Mclean, VA · On-site

$190K - $225K/yr

  • Medical

  • Dental

  • Vision

  • Life

  • Retirement

  • PTO

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

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How much do huggingface jobs pay per hour?

As of Aug 19, 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 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 August 2026, with employment types broken down into 95% Full Time, and 5% Contract. Highlights an 79% Physical, 2% Hybrid, and 19% Remote job distribution, with an average salary of $58,827 per year, or $28.3 per hour.

TTG-322 - Data Scientist - $293,750 Total Compensation with Security Clearance

TTG Solutions Inc.

Mclean, VA • On-site

$293K/yr

Other

Retirement, PTO

Re-posted yesterday

Job description

Summary TTG Solutions is seeking a skilled NLP and Machine Learning Engineer to join our team. The ideal candidate will have experience in developing NLP applications and utilizing advanced machine learning frameworks to derive insights from complex datasets.Description The candidate will be responsible for designing and implementing NLP models using Python libraries like Spacy, Gensim, or NLTK. They will create machine learning models for text classification and topic modeling, utilizing deep learning frameworks such as PyTorch, TensorFlow, or Keras. The role involves conducting advanced statistical analysis on various datasets and optimizing computational efficiency with GPU acceleration.Experience LevelSubject Matter Expert Normally requires at least sixteen (16) years of experience specific to the skill or occupation. For specific computer languages, systems or technologies, expertise with the subject matter or technology outweighs the number of years of experience. Requirements: 16 yrs+
Required Skills
* Proficiency with Python NLP libraries such as Spacy, Gensim, or NLTK
* Experience with deep learning frameworks like PyTorch, TensorFlow, or Keras
* Familiarity with the HuggingFace Transformers library and hub
* Ability to create machine learning models for text classification and topic modeling
* Proficiency in SQL
* Experience leveraging GPUs for accelerated computing
* Strong statistical analysis skills on diverse datasetsClearance This position requires an active TS/SCI clearance with Polygraph..comp-table { border-collapse: collapse; width: 100%; margin-bottom: 20px; } .comp-table th, .comp-table td { border: 1px solid black; padding: 8px; text-align: left; } .comp-table th { background-color: #f2f2f2; font-weight: bold; } .comp-table tr:nth-child(even) { background-color: #f9f9f9; }BenefitsBenefitDetails
Base Salary $176,000 - $213,000 PTO 30 days annual PTO, which includes holidays. Retirement 15% company retirement contribution. No match required. Vesting period is 50% per year over 2 years. Paid Benefits Company pays all insurance expenses up to 8% of base pay. If your insurance expenses are less that that, we bonus the difference to you. Annual Bonuses 3% to 5% annual bonuses. Cell Phone Stipend $100 monthly phone expense reimbursement. Training Budget 3 paid training days + $2,500 training budget New Hire Bonus $5,000 new hire bonus Total Compensation Total compensation is the total combination of salary, benefits, retirement, bonuses, etc... and it is calculated using the following formula: Total Compensation = Base Salary + Benefits Budget + Retirement + Bonus + Training Budget + Phone StipendAlthough each company has their own blend of salary and benefits, comparing total compensation is typcially the best way to compare the financial impact of each position. At TTG Solutions, we work hard to ensure our particular blend always meets or exceeds the market average.Total Compensation = $293,750.total-comp-table{border-collapse:collapse;width:100%;margin-bottom:20px;font-family:sans-serif;font-size:14px}.total-comp-table th,.total-comp-table td{border:1px solid #ccc;padding:12px 16px;text-align:left}.total-comp-table thead{background-color:#f9f9f9;font-weight:bold}.total-comp-table td:nth-child(2),.total-comp-table th:nth-child(2){text-align:right}.total-comp-table tr:nth-child(even){background-color:#f6f6f6}BenefitValueDetails
Base Salary $213,000 Base salary for position. Retirement $31,950 15% company retirement contribution. No match required. Vesting period is 50% per year over 2 years. Benefits Budget $42,600 20% company paid Individual Benefits Account (12% for 30-days PTO, 8% for Insurances). If your insurance or PTO expenses are less than this, we bonus the difference to you. Annual Bonus $10,650 Annual bonus, 3% to 5% on average. Training Budget $2,500 Annual training budget. Training Hours $2,500 3 paid days for training. Phone Stipend $1,200 $100 monthly cell phone stipend.

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