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Huggingface Jobs in California (NOW HIRING)

AI Engineer

San Francisco, CA · On-site

$150K - $250K/yr

Well-versed in using ML/NLP python packages such as tensorflow, pytorch, scikit-learn, transformers (including others for working with huggingface models) * Expertise in AI/ML and specifically in NLP ...

AI Engineer

San Francisco, CA · On-site

$200 - $250/hr

Well-versed in using ML/NLP python packages such as tensorflow, pytorch, scikit-learn, transformers (including others for working with huggingface models) * Expertise in AI/ML and specifically in NLP ...

Well‑versed in using ML/NLP python packages such as tensorflow, pytorch, scikit‑learn, transformers (including others for working with huggingface models) * Expertise in AI/ML and specifically in ...

Experience working on deep learning and generative AI frameworks like PyTorch, JAX, HuggingFace etc * Experience training LLMs with Reinforcement Learning techniques such as preference-based RL (DPO ...

... huggingface, spacy, etc. • Experience with deep learning frameworks like TensorFlow, PyTorch, JAX and libraries like Hugging Face transformers, Deep Graph Library, DGL-KE, etc. • Able to solve ...

Account Executive

San Francisco, CA · On-site

$150 - $200/hr

... Huggingface), Emad Mostaque (Stability AI) and many others. Your Role You will own the full sales cycle for a high-velocity and high-complexity product -- compute, RL infrastructure, and post ...

Experience with RAG, PyTorch, TensorFlow, or HuggingFace * Has built or managed agentic LLM systems (Claude or Gemini) in a professional setting with large dataset to satisfy multiple stakeholders.

Experience with RAG, PyTorch, TensorFlow, or HuggingFace * Has built or managed agentic LLM systems (Claude or Gemini) in a professional setting with large dataset to satisfy multiple stakeholders.

... HuggingFace, LangChain, or LlamaIndex • Hands-on experience with workflow orchestration platforms (e.g., Temporal) and self-hosting complex infrastructure components in high-availability ...

Experience with RAG, PyTorch, TensorFlow, or HuggingFace * Has built or managed agentic LLM systems (Claude or Gemini) in a professional setting with large dataset to satisfy multiple stakeholders.

... Huggingface) and many others. Your Role Own and scale our enterprise revenue engine. Build the GTM motion that brings compute, RL infrastructure, and post-training services to AI labs, research orgs ...

Senior Machine Learning Engineer

Palo Alto, CA · On-site

$144K - $189K/yr

Experience with machine learning frameworks such as Huggingface, PyTorch, Tensorflow, Keras; Experience with distributed training with Spark, Ray, etc. * Experience leading technical projects and ...

Showing results 41-60

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How much do huggingface jobs pay per hour?

As of Sep 9, 2026, the average hourly pay for huggingface in California is $25.79, according to ZipRecruiter salary data. Most workers in this role earn between $14.83 and $30.13 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 California?

The most popular types of Huggingface jobs in California are:

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

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

What cities in California are hiring for Huggingface jobs?

Cities in California with the most Huggingface job openings:

Infographic showing various Huggingface job openings in California as of September 2026, with employment types broken down into 79% Full Time, 20% Part Time, and 1% Contract. Highlights an 82% Physical, 3% Hybrid, and 15% Remote job distribution, with an average salary of $53,653 per year, or $25.8 per hour.

AI Engineer

San Francisco, CA • On-site

$150K - $250K/yr

Full-time

Medical, Dental, Vision

Re-posted yesterday


Job description

Max AI - Stripe for Healthcare
Max AI is the World's first human-free, fully-autonomous medical billing AI agent.
Many startups are attempting to attack this problem because the market is so big - $350B/yr.
We have the best team going after it.
While everyone else still needs humans in the loop, we've cracked the code for medical billing starting with dermatology, and are rapidly adding support for every other specialty.
Medical doctors who code are rare. We have the best one in the world. His previous apps have driven 50M+ downloads, all while running an incredibly successful practice of his own where he literally did the billing by hand himself. Our Head of AI has been doing AI research at MIT and Caltech for over 10 years. And our Head of Engineering was one of the earliest engineers at Figma.
AI Engineer
Responsibilities
  • Build, experiment, and evaluate AI agents and ML models in the NLP domain to improve the accuracy of medical coding/billing and other aspects of revenue cycle management.
  • Contribute to the building of internal AI frameworks to enable the building of our AI agents and ML models
  • Collaborate closely with a small, high-impact team and engage directly with our Operations team and our customers to drive meaningful improvements.

Work Approach
  • Complete product ownership: tackle challenges across the board rather than working in silos.
  • An agile, iterative process with clear accountability.
  • Regular interactions with customers to ensure our product continuously evolves to meet their needs.

Core Values
  • A proactive mindset: Spot and resolve issues, continuously driving improvements.
  • Commitment to lifelong learning and personal growth.
  • Positivity, collaboration, and a team-first attitude.
  • Clear communication skills

Requirements
Required
  • 6+ years of ML/AI/data science in a production setting
  • Well-versed in using ML/NLP python packages such as tensorflow, pytorch, scikit-learn, transformers (including others for working with huggingface models)
  • Expertise in AI/ML and specifically in NLP (pre-processing, embeddings, transformer-based models, etc)
  • Experience with LLM, including supervised fine-tuning, usage of AI frameworks, evaluations of LLMs

Nice to Have
  • Experience working at high-growth startups
  • Exposure in highly regulated industries and/or healthcare
  • Experience with AWS

Benefits
Compensation
  • $150k - $250k USD
  • Equity

Platinum Healthcare
  • Medical (Platinum PPO)
    • Company covers 100% for employee, 80% for dependents
  • Dental (Platinum PPO)
    • Company covers 90% for employee, 75% for dependents
  • Vision (Platinum PPO)
    • Company covers 90% for employee, 75% for dependents

Perks
  • $250 per month (gym membership, classes, etc)
  • $2,000 annually (courses, mentorship, etc)