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Hugging Face Jobs in Washington (NOW HIRING)

Frontier Technology Inc.

AI/ML Engineer

Washington, DC · Remote

$190K - $220K/yr

Build, train, and fine-tune models using frameworks such as PyTorch, TensorFlow, scikit-learn, Hugging Face, and LangChain. * Develop and operationalize MLOps pipelines (MLflow, Kubeflow, DVC, or ...

Frontier Technology Inc.

AI/ML Engineer

Washington, DC · Remote

$190K - $220K/yr

Build, train, and fine-tune models using frameworks such as PyTorch, TensorFlow, scikit-learn, Hugging Face, and LangChain. * Develop and operationalize MLOps pipelines (MLflow, Kubeflow, DVC, or ...

Staffingine LLC

AI Platform Developer

Herndon, VA · On-site

For language-based AI, expertise in NLP techniques and libraries such as NLTK, spaCy, and Hugging Face Transformers is key. * Cloud Computing and MLOps: Knowledge of cloud platforms (AWS, GCP, Azure ...

Quevera LLC

Software Engineer II

Herndon, VA · On-site

$100K - $137K/yr

Strong proficiency with PyTorch and the Hugging Face ecosystem, including Transformers, PEFT, Datasets, and Accelerate. * Experience with distributed training frameworks such as DeepSpeed, FSDP, or ...

Quevera LLC

Software Engineer II

Herndon, VA · On-site

$100K - $137K/yr

Strong proficiency with PyTorch and the Hugging Face ecosystem, including Transformers, PEFT, Datasets, and Accelerate. * Experience with distributed training frameworks such as DeepSpeed, FSDP, or ...

Capital One

Manager, Data Scientist

Mclean, VA · On-site

Leverage a broad stack of technologies - Python, SQL, AWS, LangChain, Hugging Face Transformers, VectorDBs, Pytorch/TensorFlow, and more - to reveal the insights hidden within large volumes of ...

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How much do hugging face jobs pay per hour?

As of Jul 16, 2026, the average hourly pay for hugging face in Washington is $17.51, according to ZipRecruiter salary data. Most workers in this role earn between $14.71 and $20.67 per hour, depending on experience, location, and employer.

Can you make money on Hugging Face?

Hugging Face is a platform that offers opportunities for data scientists, machine learning engineers, and developers to monetize their skills through jobs, freelance projects, or contributing to open-source models. Earning potential depends on the type of work, experience, and whether you are employed directly or working independently. Building a strong portfolio and expertise in NLP and AI tools can increase income opportunities on the platform.

Which 3 jobs will survive AI?

Jobs that require complex human interaction, creativity, and critical thinking, such as healthcare professionals, educators, and skilled tradespeople, are likely to persist despite AI advancements. These roles often involve emotional intelligence, nuanced judgment, and hands-on skills that are difficult for AI to replicate. Continuous learning and adaptability remain important for job security in an evolving technological landscape.

What are Hugging Face jobs?

Hugging Face jobs refer to employment opportunities at the company focused on developing and maintaining open-source machine learning tools, especially in natural language processing. Roles may include software engineering, research, data science, and product management, often requiring skills in Python, deep learning frameworks, and collaboration in a tech environment.

How much do Hugging Face engineers make?

Hugging Face engineers' salaries vary based on experience, role, and location, but generally range from $100,000 to $180,000 annually. Senior positions and specialized roles in machine learning or software engineering tend to offer higher compensation, often including stock options and benefits.

What is the difference between Hugging Face vs Machine Learning Engineer?

AspectHugging FaceMachine Learning Engineer
Required CredentialsTypically requires knowledge of NLP, deep learning, and Python; certifications are optionalRequires degrees in CS or related fields; experience with ML frameworks; certifications beneficial
Work EnvironmentCollaborative, research-focused, often in tech companies or startupsDevelopment, deployment, and optimization of ML models in various industries
Employer & Industry UsageUsed by AI/ML companies, research labs, and open-source communitiesEmployed across tech, finance, healthcare, and other sectors implementing ML solutions

Hugging Face primarily focuses on NLP tools, libraries, and open-source models, serving as a platform for AI research and development. Machine Learning Engineers develop, implement, and optimize ML models across various domains. While Hugging Face offers resources and tools that ML Engineers use, the roles differ: Hugging Face is a platform, whereas Machine Learning Engineer is a job role involving hands-on model development and deployment.

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What cities in Washington are hiring for Hugging Face jobs? Cities in Washington with the most Hugging Face job openings:
Hugging Face jobs near you
Gen AI Developer with Python for Reston VA

Gen AI Developer with Python for Reston VA

Hexaware Technologies, Inc

Reston, VA • On-site

$52.25 - $72/hr

Other

Re-posted 18 days ago

Job description

ROLE: AWS Python + Gen AI Developer
Location- Reston, VA - Day one onsite
Technical Skills:
  • 10+ years of experience in software development, with 5+ years in AWS and AI/ML technologies.
  • Strong proficiency in Python programming and frameworks (e.g., Flask, FastAPI, Django).
  • Hands-on experience with AWS services (e.g., Lambda, S3, EC2, IAM, CloudFormation).
  • Experience with GenAI tools (e.g., OpenAI, Hugging Face, or custom LLMs).
  • Knowledge of DevOps tools like Docker, Kubernetes, and CI/CD pipelines.
  • Familiarity with RESTful APIs and integration of AI/ML solutions.
  • Strong debugging and problem-solving skills in production environments.
  • Soft Skills:
  • Excellent communication and collaboration skills.
  • Ability to work in a fast-paced environment and manage competing priorities.

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