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Hugging Face Jobs in Virginia (NOW HIRING)

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 ...

Deep learning for NLP with libraries such as PyTorch and Hugging Face. Proficiency with Scikit-learn, Pandas, NumPy, NetworkX, and NLTK. Experience deploying ML models to Streamlit, Hugging Face ...

Senior GenAI Architect/Developer

Richmond, VA ยท On-site

$70 - $70.23/hr

Experience deploying ML models to Streamlit, Hugging Face Spaces, or Heroku. * Experience building and integrating APIs using REST, FastAPI, or Flask to serve models. * Knowledge of agentic AI ...

Data Scientist

Mclean, VA ยท On-site

$177K - $216K/yr

Leverage the Hugging Face Transformers library and model hub to develop state-of-theโ€‘art language models and text analytics solutions. * Create and maintain machine learning models that perform ...

Leverage the Hugging Face Transformers library and model hub to develop state-of-the-art language models and text analytics solutions. * Create and maintain machine learning models that perform text ...

Data Scientist

Mclean, VA ยท On-site

$177K - $216K/yr

Leverage the Hugging Face Transformers library and model hub to develop state-of-the-art language models and text analytics solutions. * Create and maintain machine learning models that perform text ...

... or Hugging Face. โ€ข Strong knowledge of statistical analysis, machine learning, and deep learning techniques. โ€ข Experience with cloud platforms (AWS, Azure, or GCP) and tools like Docker ...

Experience with reinforcement learning, mechanistic interpretability, or alignment research Tools, Technologies & Frameworks PyTorch, JAX, Hugging Face Transformers, Weights & Biases, Ray, custom ...

... Hugging Face, or similar) โ€ข Proficiency in one or more programming languages such as Python, JavaScript, Java or .NET โ€ข Experience working with cloud platforms, preferably AWS or Azure โ€ข ...

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How much do hugging face jobs pay per hour?

As of Sep 14, 2026, the average hourly pay for hugging face in Virginia is $15.32, according to ZipRecruiter salary data. Most workers in this role earn between $12.88 and $18.12 per hour, depending on experience, location, and employer.

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.

What are popular job titles related to Hugging Face jobs in Virginia?

For Hugging Face jobs in Virginia, the most frequently searched job titles are:

What cities in Virginia are hiring for Hugging Face jobs?

Cities in Virginia with the most Hugging Face job openings:

Infographic showing various Hugging Face job openings in Virginia as of August 2026, with employment types broken down into 80% Full Time, 17% Part Time, and 3% Contract. Highlights an 89% Physical, 1% Hybrid, and 10% Remote job distribution, with an average salary of $31,875 per year, or $15.3 per hour.

Sr. AI Platform Developer - Python & ML

Herndon, VA โ€ข On-site

1 point system
IT Servicesย โ€ขย 51 - 200 employees

$124K - $168K/yr

Contractor

Re-posted 29 days ago


Job description

  • Programming Languages: Mastery of Python is essential, with R, Java, and C++ also being highly valuable.
  • Machine Learning (ML) & Deep Learning (DL): You'll need a deep understanding of ML concepts (supervised, unsupervised, reinforcement learning) and neural network architectures like CNNs and RNNs.
  • AI/ML Frameworks and Libraries: Proficiency is required in tools like TensorFlow, PyTorch, Keras, and scikit-learn.
  • Data Science and Analysis: Skills in data acquisition, cleaning, preprocessing, and feature engineering are crucial, along with knowledge of SQL and NoSQL databases.
  • Big Data Technologies: Familiarity with platforms like Apache Spark and OpenSearch is often necessary for handling large-scale data.
  • Mathematics and Statistics: A strong foundation in linear algebra, calculus, probability, and statistics is fundamental.
  • Natural Language Processing (NLP): 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) and MLOps principles is vital for deploying and managing AI models.