ZipRecruiter

Log In

1

Hugging Face Jobs in Raleigh, NC (NOW HIRING)

Direct Supply, Inc.

Staff Software Engineer

Durham, NC · On-site

Hands-on experience developing and deploying AI-driven applications (provide examples using models like Hugging Face or APIs like OpenAI, Anthropic). * Proficiency in Microsoft environments (Visual ...

Directsupply

Staff Software Engineer

Durham, NC · On-site

Hands-on experience developing and deploying AI-driven applications (provide examples using models like Hugging Face or APIs like OpenAI, Anthropic). * Proficiency in Microsoft environments (Visual ...

UnitedHealth Group

Senior Software Engineer

Raleigh, NC · On-site

$119K - $157K/yr

Familiarity with the Hugging Face ecosystem, including model usage, basic fine-tuning, and inference optimization techniques * Strong foundation in data science concepts, including statistics ...

UnitedHealth Group

Senior Software Engineer

Raleigh, NC · Remote

$119K - $157K/yr

Familiarity with the Hugging Face ecosystem, including model usage, basic fine-tuning, and inference optimization techniques * Strong foundation in data science concepts, including statistics ...

next page

Showing results 1-20

All JobsHugging Face JobsHugging Face Jobs in Raleigh, NC

Hugging Face information

See Raleigh, NC salary details

$8

$15

$20

How much do hugging face jobs pay per hour?

As of Jul 7, 2026, the average hourly pay for hugging face in Raleigh, NC is $15.03, according to ZipRecruiter salary data. Most workers in this role earn between $12.60 and $17.74 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.

What are popular job titles related to Hugging Face jobs in Raleigh, NC? For Hugging Face jobs in Raleigh, NC, the most frequently searched job titles are:
What job categories do people searching Hugging Face jobs in Raleigh, NC look for? The top searched job categories for Hugging Face jobs in Raleigh, NC are:
What cities near Raleigh, NC are hiring for Hugging Face jobs? Cities near Raleigh, NC with the most Hugging Face job openings:
Hugging Face jobs near you
Infographic showing various Hugging Face job openings in Raleigh, NC as of July 2026, with employment types broken down into 1% As Needed, 72% Full Time, 24% Part Time, 1% Temporary, and 2% Contract. Highlights an 92% Physical, 1% Hybrid, and 7% Remote job distribution, with an average salary of $31,253 per year, or $15 per hour.
Staff Software Engineer

Staff Software Engineer

Direct Supply, Inc.

Durham, NC • On-site

Full-time

Posted 28 days ago

Job description

Position Summary:
Direct Supply is building the future of healthcare technology with industry-leading products, solutions and platforms to help improve the lives of millions of seniors and those who care for them.
In the Senior Software Engineer position, you'll lead the development of intelligent, adaptive, and scalable applications by leveraging AI-powered development tools, machine learning models, and automation frameworks. Beyond writing code, you will play a key role in setting technical direction, mentoring engineers, and driving AI-first software strategies. You'll work on a cross-functional team dedicated to creating high-quality, scalable web-based products, mobile applications, or server-based systems. As a senior engineer, you will take ownership of complex AI-enhanced solutions, influence architectural decisions, and advocate for AI-driven development methodologies. Your leadership will help the team develop a deep understanding of business context, financial trade-offs, and the strategic impact of AI-powered solutions.
Skills Needed:
  • Applies AI and Technology - Identifies opportunities to boost efficiency and add value using AI and tech. Embraces and applies digital innovations and tech solutions to build business. Eagerly learns and integrates new technologies where they matter most.
  • Champions Innovation - Propels teams to unlock value with cutting-edge, tech-enabled innovations. Stays ahead of the tech curve, ready to embrace the next big thing. Leads with an entrepreneurial mindset and takes calculated risks.
  • Leads Through Change & Ambiguity - Navigates the unknown with confidence, steering through change and uncertainty with a clear vision and unwavering determination.
  • Ability to mentor and lead engineers in AI-first development methodologies, fostering a culture of innovation and technical excellence.
  • Technical expertise in AI integration across natural language processing, computer vision, and generative models.

What You'll Do and Impact:
  • Lead and mentor engineers in AI-first development methodologies and best practices.
  • Architect and scale AI-enhanced systems, ensuring security, scalability, and high performance.
  • Integrate AI-driven capabilities such as chatbot assistants, image-based diagnostics, and automated content creation into products.
  • Drive adoption of AI-powered engineering tools (e.g., LLM-augmented IDEs, automation frameworks) to enhance development efficiency.
  • Implement observability and monitoring systems to track AI application performance and ensure proactive issue resolution.
  • Design and optimize AI-driven APIs and microservices for seamless interaction with models, applications, and databases.
  • Stay engaged with AI and engineering communities, bringing cutting-edge practices and insights back to the team.
  • Mentor engineers on technical execution, business impact, and AI-first strategic thinking.
  • Balance execution speed with innovation, rapidly testing and iterating AI-driven features.
  • Work in an agile environment, ensuring high-quality, scalable software solutions.

Experience:
  • 5-7+ years of software development experience, including 2+ years working on AI-powered applications or AI-integrated solutions.
  • Bachelor's degree in Computer Science, Computer Engineering, or a related field.
  • Hands-on experience developing and deploying AI-driven applications (provide examples using models like Hugging Face or APIs like OpenAI, Anthropic).
  • Proficiency in Microsoft environments (Visual Studio, VS Code) and cloud services (AWS, Azure) for scalable AI applications.
  • Strong understanding of AI model cost optimization, infrastructure scaling, and performance tuning.
  • Experience integrating LLMs, agentic workflows, and autonomous AI systems into production environments.
  • Proven ability to mentor engineers and lead AI-first engineering transformations.

Additional Items of Interest:
  • Contributions to open-source AI projects or AI research.
  • Experience with agentic AI frameworks (LangChain, AutoGPT).
  • Thought leadership through conferences, research, or industry engagement in AI-first development.
  • Expertise in AI-powered UI/UX development and human-computer interaction.
  • Strong proficiency in containerization (Docker, Kubernetes) and cloud-native AI deployments.
  • Diligence in unit testing, integration testing, and AI-driven problem-solving.

Job to be performed in the location listed. Generous benefit package available.
Direct Supply, Inc. and its U.S. subsidiaries are equal opportunity and affirmative action employers committed to diverse workforces.
© 2013 to 2026 Direct Supply, Inc. All rights reserved.

Apply