1

Huggingface Jobs in Washington (NOW HIRING)

Data Scientist

Vienna, VA

$150K - $195K/hr

Python NLP packages such as Spacy, Gensim, or NLTK Deep learning frameworks such as PyTorch, Tensorflow, or Keras HuggingFace Transformers library and hub Creating machine learning models that ...

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

Required Qualifications: • Strong hands-on experience with LLMs, prompt engineering, RAG, vector databases, and model evaluation. • Proficiency with LangChain, HuggingFace, Transformers, and ...

Required Qualifications • Strong hands-on experience with LLMs, prompt engineering, RAG, vector databases, and model evaluation. • Proficiency with LangChain, HuggingFace, Transformers, and ...

Research Engineer I

Arlington, VA · On-site

$90K - $105K/yr

Supports research efforts by implementing technical solutions to novel research problems. Works closely with senior research staff to transform research ideas into implemented solutions. Contributes ...

Mid-Level Software Engineer

Fairfax, VA · On-site

$90K - $180K/yr

... HuggingFace transformers, ollama, LM Studio, llama.cpp, etc.) Global Comp $90,000 - $180,000 This represents the typical compensation range for this position based on experience, location and other ...

New

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

Showing results 21-40

Huggingface information

See Washington salary details

$9

$28

$66

How much do huggingface jobs pay per hour?

As of Aug 18, 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 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.

Data Scientist with Security Clearance

OceanWolf LLC

Mclean, VA • On-site

Other

This job post has expired today. Applications are no longer accepted.


Job description

Required Skills:
1. 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.
2. Demonstrated professional or academic experience using Python NLP packages such as Spacy, Gensim, or NLTK to analyze or process collections of documents.
3. Demonstrated professional or academic experience with deep learning frameworks such as PyTorch, Tensorflow, or Keras 4. Demonstrated professional or academic experience with the 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 (Scikit-learn) or deep learning models.
6. Demonstrated academic or professional experience using encoder-decoder and generative language models to perform NLP tasks. 7. Demonstrated academic or professional experience communicating methodological choices and model results. 8. Demonstrated professional or academic experience and proficiency with SQL to include using common table expressions, set operations, aggregated functions and nested subqueries.
9. Demonstrated professional or academic experience with version control systems such as Github and Jenkins.
10. Demonstrated experience leveraging GPUs for accelerated computing.
11. Develop practical approaches for measuring performance.
12. Assist in developing types of measure, the collection of data, analyzing the data, and presenting that data to senior leadership.
13. Conduct advanced statistical analysis on personnel, intelligence, and performance metrics.
14. Assist in selection or development of appropriate methodology to conduct research.
15. Analyze information and provide research findings in a manner that is easily grasped by the customer and consumers.
16. Database management experience: Writing and optimizing queries across relational and non-relational databases.
17. Demonstrated experience using testing libraries like JUnit and Mockito to ensure application stability.
18. Demonstrated experience with Core Java: Object-oriented programming (OOP) concepts, multithreading, and memory management (JVM).
19. Demonstrated experience with Spring and Spring Data JPA.
20. Demonstrated experience with tools and build systems such as: Eclipse, Maven, and Gradle.
21. Demonstrated experience with Oracle, Apache Tomcat, AWS Cloud Framework and Linux. Desired Skills:
1. Demonstrated experience writing Python scripts that pull data from web-based APIs and relational databases.
2. Demonstrated experience with cloud computing development and architecture 3. Demonstrated experience with front-end web development frameworks such as Flask.
4. Demonstrated experience developing applications for semantic search.
5. Demonstrated experience tuning LLMs on custom data sets and applying results to specific use cases.
6. Demonstrated professional or academic experience and proficiency with Tableau to produce visualizations and dashboards.