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Huggingface Jobs in Pennsylvania (NOW HIRING)

SID Global Solutions

AI Lead Developer

Exton, PA · On-site

$57 - $74.50/hr

Experience with OpenAI, Azure OpenAI, Claude, Gemini, and HuggingFace models. * Knowledge of MLOps, AI evaluation frameworks, and AI governance. * Experience with Spark, Kafka, and large-scale AI ...

Gehc

AI Scientist

North East, PA · On-site

  • Medical

  • Dental

  • Vision

  • Life

  • Retirement

  • PTO

Experience with frameworks and tools such as DeepSpeed, HuggingFace, Megatron, PyTorch lightning, etc. * Experience with various MLOps, ModelOps, FMOps (Foundation Model Ops) methods. * Experience ...

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How much do huggingface jobs pay per hour?

As of Aug 18, 2026, the average hourly pay for huggingface in Pennsylvania is $23.70, according to ZipRecruiter salary data. Most workers in this role earn between $13.63 and $27.68 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 Pennsylvania?

The most popular types of Huggingface jobs in Pennsylvania are:

What are popular job titles related to Huggingface jobs in Pennsylvania?

For Huggingface jobs in Pennsylvania, the most frequently searched job titles are:

What job categories do people searching Huggingface jobs in Pennsylvania look for?

The top searched job categories for Huggingface jobs in Pennsylvania are:

Huggingface jobs near you
Infographic showing various Huggingface job openings in Pennsylvania as of August 2026, with employment types broken down into 91% Full Time, 8% Part Time, and 1% Contract. Highlights an 83% Physical, 3% Hybrid, and 14% Remote job distribution, with an average salary of $49,299 per year, or $23.7 per hour.

Staff AI/ML Engineer

CACI International Inc

Philadelphia, PA • On-site

Full-time

Re-posted 14 days ago

Job description

Job Summary:
CACI International Inc is seeking a Staff AI/ML Engineer to tackle challenging problems in AI/ML development. The role involves implementing machine learning algorithms, analyzing diverse datasets, and providing training and mentoring to team members.
Responsibilities:
• Implement machine learning algorithms as part of a small interdisciplinary team
• Analyze large multi-domain datasets including images, text, time series, and graph data
• Review and apply cutting-edge research publications
• Create technical documentation and user guides
• Understand training and deployment pipelines including AWS services
• Provide training and mentoring to team members
Qualifications:
Required:
• B.S. in machine learning, computer science, mathematics, or related field
• 8+ years of AI/ML development experience
• Proficiency with Python and ML libraries such as PyTorch, Lightning, OpenCV, NumPy, Polars
• Experience with supervised and unsupervised learning
• Experience with deep learning architectures
• Experience contributing on a team using version control (e.g. git, GitLab, Bitbucket)
• Active TS/SCI U.S. Government Security Clearance
Preferred:
• M.S. or PhD in relevant technical field
• Experience leading interdisciplinary teams
• Experience with MCP, Microsoft Agent Framework, HuggingFace, LangChain, OpenCV
• Experience with GenAI Ops techniques (e.g. LLM-as-a-judge) and frameworks (e.g. LangFuse, MLFlow, Arize Phoenix)
• Experience with LLMs, Transformers, YOLO, GANs, Reinforcement Learning
• Linux and AWS experience
• Experience with CUDA and Python libraries such as CuPy, Numba, CuSignal, CuDF, etc.
• Experience in application deployment, virtualization, and containerization (e.g. Podman, Docker, Kubernetes, Rancher)
• Familiarity with using AWS cloud computing resources such as EC2, S3, Lambda, etc.
Company:
At CACI International Inc (NYSE: CACI), our 27,000 talented and dynamic employees are ever vigilant in delivering distinctive expertise and technology to meet our customers’ greatest challenges in national security. Founded in 1962, the company is headquartered in Arlington, USA, with a team of 10001+ employees. The company is currently Late Stage.

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