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Huggingface Jobs in Seattle, WA (NOW HIRING)

... PyTorch, HuggingFace Transformers and libraries (like scikit-learn, etc.). * 4-6 years of experience with ClassicAI/GenAI ML Model Operationalization in Production. * 4 to 6 years of strong ...

... PyTorch, HuggingFace Transformers and libraries (like scikit-learn, etc.). * 4-6 years of experience with ClassicAI/GenAI ML Model Operationalization in Production. * 4 to 6 years of strong ...

Preferred : • Experience and demonstrated capability to handle challenges with vague or abstract problem definition. • Experience with frameworks and tools such as DeepSpeed, HuggingFace ...

Director, Data Science

Bellevue, WA · On-site

$156K - $312K/yr

Extensive hands-on experience of a broad stack of technologies -- Python, Huggingface, VectorDB, Tensorflow, Pytorch, ElasticSearch, Azure, etc. * Authored research publications in top peer-reviewed ...

Director, Data Science

Bellevue, WA · On-site

$156K - $312K/yr

Extensive hands-on experience of a broad stack of technologies - Python, Huggingface, VectorDB, Tensorflow, Pytorch, ElasticSearch, Azure, etc. * Authored research publications in top peer-reviewed ...

Extensive hands-on experience of a broad stack of technologies - Python, Huggingface, VectorDB, Tensorflow, Pytorch, ElasticSearch, Azure, etc. * Authored research publications in top peer-reviewed ...

Software Engineer, Applied AI

Seattle, WA · On-site

$166K - $203K/yr

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 ...

ML Engineer (Senior)

Seattle, WA · On-site

$140K - $220K/yr

Advanced ML/AI frameworks and techniques (e.g., PyTorch Lightning, JAX, HuggingFace, ONNX optimizations) * Lower-level or performance-focused languages for ML acceleration (e.g., C++, Rust, CUDA)

Data Scientist (Seattle)

Seattle, WA · On-site

$150K - $175K/yr

Write clean, reusable code in Python using ML/LLM frameworks such as LangChain, HuggingFace, and OpenAI SDKs. Required Skills & Experience * 5-8 years of experience in data science, with 2+ years in ...

Extensive hands-on experience of a broad stack of technologies -- Python, Huggingface, VectorDB, Tensorflow, Pytorch, ElasticSearch, Azure, etc. * Authored research publications in top peer-reviewed ...

Huggingface information

See Seattle, WA salary details

$9

$28

$66

How much do huggingface jobs pay per hour?

As of Jul 7, 2026, the average hourly pay for huggingface in Seattle, WA is $28.51, according to ZipRecruiter salary data. Most workers in this role earn between $16.39 and $33.30 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 cities near Seattle, WA are hiring for Huggingface jobs? Cities near Seattle, WA with the most Huggingface job openings:
Infographic showing various Huggingface job openings in Seattle, WA as of July 2026, with employment types broken down into 1% Internship, 93% Full Time, 5% Part Time, and 1% Contract. Highlights an 86% Physical, 1% Hybrid, and 13% Remote job distribution, with an average salary of $59,301 per year, or $28.5 per hour.
AWS GovCloud Databricks

AWS GovCloud Databricks

Software Technology Inc

Bellevue, WA • On-site

Other

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


Job description

MLOps Engineer To Work On AWS GovCloud Databricks

Bachelor’s degree in computer science, Engineering, Applied Mathematics or related field

This position may be offered to a candidate authorized to work in the US for his/her/their stated employer, without any restrictions which would prevent the candidate from working on the proposed assignment for the duration of the assignment period.

4-6 years of strong experience with AWS Gov Cloud environments / Export Control / FedRAMP environments

Overall, 8-10 years of solid experience in the areas of data engineering / machine learning / data science.

4-6 years of strong experience with the following machine learning topics: classification, clustering, optimization, deep learning, NLP with Python in a programming intensive role.

6-8 years of strong experience in Python / PySpark coding

4-6 years of industry experience with popular ML frameworks such as Keras, Tensorflow, PyTorch, HuggingFace Transformers and libraries (like scikit-learn, etc.).

4-6 years of experience with ClassicAI/GenAI ML Model Operationalization in Production.

4 to 6 years of strong experience in Azure Databricks / AWS Databricks, specializing in End-to-End MLOps architecture, with practical expertise in Databricks Unity Catalog, MosaicAI, serverless solutions, MLOps stacks, and Lakehouse monitoring, among other areas.

4-6 years of industry experience with distributed computing frameworks such as Spark, Kubernetes ecosystem, etc.

4-6 years of experience with CI/CD Dev Ops process.