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Hugging Face Jobs (NOW HIRING)

Java AI/LLM

Glen Lyn, VA · Remote

$52.25 - $67.50/hr

AI/LLM - hugging face model, OLAMA, LLAMA, Mistral * Agentic AI, Open AI, Gemini * Fine tuning of LLM * Lang chain, Lang flow, FAISS, vector database, Cosine similarity search. * Python programing ...

Generative AI Engineering Intern (Graduate)

$17.25 - $22.25/hr

Hands-on experience with LLM frameworks such as LangChain, LlamaIndex, or Hugging Face Transformers. * Experience with prompt engineering techniques including few-shot learning, chain-of-thought ...

Senior Machine Learning Engineer

Austin, TX · On-site

$103K - $142K/yr

... Hugging Face Transformers for model development, fine-tuning, and optimization. • Implement model optimization techniques such as quantization, pruning, distillation, and hardware specific ...

... Hugging Face. • Need to have knowledge of software development methodologies, such as Agile or Scrum. • Possess excellent problem-solving skills, with the ability to think critically and ...

GPT 5, Claude, Gemini, Azure OpenAI Service, LangChain, LlamaIndex, Hugging Face Transformers, Python, Pinecone, ChromaDB, Weaviate, pgvector, AWS, Azure, Docker, Kubernetes, REST APIs, JSON/GeoJSON ...

Technical Recruiter

San Francisco, CA · On-site

$150K - $200K/yr

Our customers include companies like Microsoft, Perplexity, Hugging Face, Manus, and Groq. We're building the next hyperscaler for AI agents. About the role As a Technical Recruiter at E2B, you'll ...

DevRel Engineer

San Francisco, CA · On-site

$225K - $275K/yr

Our customers include companies like Microsoft, Perplexity, Hugging Face, Manus, and Groq. We're building the next hyperscaler for AI agents. About the role Your job will be to inspire developers and ...

Founding Designer

San Francisco, CA · On-site

$170K - $250K/yr

Our customers include companies like Microsoft, Perplexity, Hugging Face, Manus, and Groq. We're building the next hyperscaler for AI agents. About the role As the Founding Designer at E2B , you'll ...

Sr AI Developer

Irving, TX · On-site

$112K - $151K/yr

LangChain / OpenAI APIs / Hugging Face * MLOps & CI/CD * Azure, AWS, or GCP * RAG Architectures & AI Agents * Cloud AI Deployment * Data Engineering Fundamentals Key ResponsibilitiesAI Development ...

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Hugging Face information

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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 the United States is $15.46, according to ZipRecruiter salary data. Most workers in this role earn between $12.98 and $18.27 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.

More about Hugging Face jobs
What cities are hiring for Hugging Face jobs? Cities with the most Hugging Face job openings:
What states have the most Hugging Face jobs? States with the most job openings for Hugging Face jobs include:
Infographic showing various Hugging Face job openings in the United States as of July 2026, with employment types broken down into 1% As Needed, 75% Full Time, 23% Part Time, and 1% Contract. Highlights an 92% Physical, 1% Hybrid, and 7% Remote job distribution, with an average salary of $32,151 per year, or $15.5 per hour.

Java AI/LLM

Digital Links Inc

Glen Lyn, VA • Remote

$52.25 - $67.50/hr

Contractor

Re-posted 24 days ago


Job description

  1. 7+ years experience in designing and building Java Microservices, CICD skill to build and deploy on test and production environments
  2. AI/LLM skill with
    1. AI/LLM - hugging face model, OLAMA, LLAMA, Mistral
    2. Agentic AI, Open AI, Gemini
    3. Fine tuning of LLM
    4. Lang chain, Lang flow, FAISS, vector database, Cosine similarity search.
    5. Python programing
    6. sentence transformer
  3. Knowledge on noSQL DB programming (MongoDB)
  4. Good Linux knowledge to perform user level activities,