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Hugging Face Jobs in California (NOW HIRING)

Hop

AI/ML Engineer

San Francisco, CA · On-site

PyTorch or Hugging Face Transformers; AWS or GCP; Docker/Kubernetes. Portfolio of shipped AI work required - agentic pipelines, RAG systems, or fine-tuned models. No visa sponsorship. Must be ...

Xforia, Inc.

Staff ML Engineer

San Jose, CA · On-site

... Hugging Face Transformers • Solid understanding of natural language processing (NLP) fundamentals and techniques • Experience with training and fine-tuning LLMs on large-scale datasets • ...

Hop

AI/ML Engineer

San Francisco, CA · On-site

PyTorch or Hugging Face Transformers; AWS or GCP; Docker/Kubernetes. * Portfolio of shipped AI work required -- agentic pipelines, RAG systems, or fine-tuned models. * No visa sponsorship. Must be ...

Kutir Inc

Prompt Engineer Lead / Architect

Sunnyvale, CA · On-site

$65.75 - $90/hr

AI/ML: Gemini, Vertex AI, Hugging Face, OpenAI, Claude. Frameworks: LangChain, LlamaIndex, Dialogflow. Cloud & Infra: Google Cloud Platform (GKE, Cloud Build), Docker, TensorRT. Data: Cloud SQL ...

E2B

Product Engineer - AI

San Francisco, CA · On-site

$180K - $220K/yr

We already generate 8-figure revenue and work directly with top-tier AI companies like Groq, Manus, Hugging Face, Lindy, and other exciting teams pushing the frontier of AI. We offer healthcare, ...

Campfire Software, Inc

AI Engineer

San Francisco, CA · On-site

$180K - $250K/yr

Familiarity with LLMs (e.g., OpenAI, Hugging Face) and fine-tuning for real-world use cases. Thrives in Agility: * Our team is lean and moves quickly. You're comfortable experimenting, iterating, and ...

E2B

Business Operations

San Francisco, CA · On-site

$200K - $230K/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 This is the first business operations ...

Bazze

AI Engineer

San Francisco, CA · On-site

... or Hugging Face's Transformers. Company : Bazze provides an alternative data marketplace that analyzes and assesses risks posed by hostile foreign actors. Founded in 2018, the company is ...

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How much do hugging face jobs pay per hour?

As of Aug 6, 2026, the average hourly pay for hugging face in California is $15.25, according to ZipRecruiter salary data. Most workers in this role earn between $12.79 and $18.03 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 California? For Hugging Face jobs in California, the most frequently searched job titles are:
What job categories do people searching Hugging Face jobs in California look for? The top searched job categories for Hugging Face jobs in California are:
What cities in California are hiring for Hugging Face jobs? Cities in California with the most Hugging Face job openings:
Hugging Face jobs near you
Infographic showing various Hugging Face job openings in California as of July 2026, with employment types broken down into 1% As Needed, 77% Full Time, 20% Part Time, and 2% Contract. Highlights an 92% Physical, 1% Hybrid, and 7% Remote job distribution, with an average salary of $31,730 per year, or $15.3 per hour.

Machine Learning Engineer, AI for Chemistry project

X, the moonshot factory

Mountain View, CA • On-site

Full-time

Re-posted 24 days ago

Job description

M a c h i n e L e a r n i n g E n g i n e e r , A I f o r C h e m i s t r y p r o j e c t
Software Engineering Mountain View, CA (HQ)
About X, the Moonshot Factory
X is a diverse group of inventors and entrepreneurs who build and launch technologies that aim to improve the lives of millions, even billions, of people. Our goal: 10x impact on the world's most intractable problems, not just 10% improvement. We approach projects that have the aspiration and riskiness of research with the speed and ambition of a startup.
About the team
We're X's AI for chemistry moonshot, applying AI to supercharge processes related to the manufacturing of existing chemical compounds. We're an agile team of experienced AI researchers, software engineers, and entrepreneurs working with partners and customers around the world. We're looking for people who are passionate about working at the intersection of AI and science. You'll be part of a fast-paced team that has the agility and impact of an early stage company, while building on world-class Google AI technology.
About the role
As a Machine Learning Engineer, you will be responsible for designing, developing, and deploying state-of-the-art multi-modal models. This role requires a deep passion for problem-solving and experimentation, moving across the full range of applied machine learning tasks from initial prototyping to building full-scale, robust solutions. While you will primarily focus on core product development, you will also serve as a critical bridge between cutting-edge AI research and real-world enterprise applications. You will be a key player in our mission to accelerate scientific discovery through machine learning.
How you will have 10X impact:
  • Design and build end-to-end machine learning pipelines for training, evaluation, and deployment.
  • Develop and fine-tune sophisticated multi-modal models using frameworks like PyTorch and libraries from the Hugging Face ecosystem.
  • Leverage Google Cloud Platform (GCP) services to deploy and scale our ML models and infrastructure.
  • Collaborate with cross-functional teams of scientists and engineers to translate research ideas into production-ready solutions.
  • Stay current with the latest advancements in machine learning, particularly in multi-modal learning and generative models.

What you should have:
  • Bachelor's or Master's degree in Computer Science, Engineering, or a related technical field.
  • A foundational knowledge of organic chemistry concepts or experience working with chemical data (e.g., SMILES strings, molecular graphs).
  • Proven experience building and training deep learning models using PyTorch and the Hugging Face library
  • Demonstrated experience with Large Language Models (LLMs), multi-modal models (e.g., Vision Language Models (VLMs)) and computer vision models (eg. OCR)
  • Knowledge of Google Cloud Platform (GCP) and its core services for machine learning and data processing.
  • Excellent programming skills in Python and a solid understanding of software engineering best practices.
  • Experience with large-scale data processing and database management (e.g., PostgreSQL, SQLAlchemy).
  • Experience in start-up or small team environments

It'd be great if you also had these:
  • Published research papers in relevant fields
  • Hands-on experience with MLOps principles and tools (e.g., Kubeflow, MLflow, Vertex AI Pipelines) and DevOps practices (e.g., CI/CD, Docker, Kubernetes, Terraform).

The US base salary range for this full-time position is $118,000 - $162,000 + bonus + equity + benefits. Within the range, individual pay is determined by work location and additional factors, including job-related skills, experience, and relevant education or training. Your recruiter can share more about the specific salary range for your location during the hiring process.
Please note that the compensation details listed in US role postings reflect the base salary only, and do not include bonus, equity, or benefits.
An Equal Opportunity Workplace
At X, we don't just accept difference - we celebrate it, we support it, and we thrive on it for the benefit of our employees, our products and our community. We are proud to be an equal opportunity workplace and is an affirmative action employer. We are committed to equal employment opportunity regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability, gender identity or Veteran status. We also consider qualified applicants regardless of criminal histories, consistent with legal requirements.
If you have a disability or special need that requires accommodation, please contact us at x-accommodation-request@x.team .

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