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Huggingface Jobs in California (NOW HIRING)

... HuggingFace Transformers/Spaces, or Gradio • Prior work with GPU-accelerated tools (e.g., CUDA, cuDNN, Triton) • Experience developing tools or interfaces for scientific, medical, or biological ...

We're backed by the investors behind OpenAI, Anthropic, Huggingface, and Notion, including Greylock, Coatue, Altman Capital and Lightspeed. The runway is long. The ambition is high. And the market is ...

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 ...

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 ...

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 ...

Ray, PyTorch, HuggingFace, AWS Sagemaker * AI literacy and curiosity. You have either tried Gen AI in your previous work or outside of work, or are curious about Gen AI and have explored it. * MS in ...

Content Lead

San Francisco, CA · On-site +1

$130K - $180K/yr

We've raised $11M from top funds, founders, and senior leaders at OpenAI, Anthropic, HuggingFace, Mistral, DeepMind, Datadog, Sentry, and others * We process over one hundred million API calls every ...

... 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 ...

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How much do huggingface jobs pay per hour?

As of Jul 13, 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 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 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 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 are the most commonly searched types of Huggingface jobs in California? The most popular types of Huggingface jobs in California are:
What are popular job titles related to Huggingface jobs in California? For Huggingface jobs in California, the most frequently searched job titles 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 July 2026, with employment types broken down into 1% Internship, 95% Full Time, 3% Part Time, and 1% Contract. Highlights an 86% Physical, 1% Hybrid, and 13% Remote job distribution, with an average salary of $53,653 per year, or $25.8 per hour.

Product Engineer

GenBio AI

Palo Alto, CA • On-site

Full-time

Posted 13 days ago


Job description

Job Summary:
GenBio AI is a newly established start-up headquartered in Silicon Valley, dedicated to transforming biology and medicine through Generative AI. The Product Engineer will design and maintain full-stack web applications while collaborating with various teams to enhance user experiences and improve system performance.
Responsibilities:
• Design, build, and maintain modern, responsive full-stack web applications
• Translate user flows and designs into robust, scalable code
• Collaborate with product, design, and AI/ML teams to deliver seamless user experiences
• Develop and maintain backend services, APIs, and data pipelines
• Integrate front-end interfaces with backend APIs and AI/ML model serving infrastructure
• Ensure high performance, accessibility, and cross-browser/device compatibility
• Contribute to shared component libraries and internal design systems
• Define and improve development workflows, coding standards, and best practices
• Monitor and improve system performance, observability, and reliability
Qualifications:
Required:
• 4+ years of experience as a full-stack or front-end/backend engineer
• Strong programming skills in JavaScript/TypeScript, Python, and modern frameworks (e.g., React, FastAPI, Node.js)
• Experience developing, testing, and deploying production-grade web applications
• Proficiency in HTML/CSS (including SCSS) and responsive UI development
• Experience with RESTful and/or GraphQL API design and integration
• Familiarity with front-end testing tools, animation libraries, or data visualization frameworks
• Experience working with modern CI/CD pipelines, Git workflows, and agile development
• Experience deploying applications in cloud environments (e.g., AWS, GCP, Azure)
• Strong understanding of containerization (e.g., Docker) and orchestration tools like Kubernetes
• Bachelor’s or Master’s degree in Computer Science, Engineering, or a related field
Preferred:
• Experience serving large language models or working with AI/ML model inference infrastructure
• Familiarity with AI model serving frameworks such as Triton Inference Server, HuggingFace Transformers/Spaces, or Gradio
• Prior work with GPU-accelerated tools (e.g., CUDA, cuDNN, Triton)
• Experience developing tools or interfaces for scientific, medical, or biological data
• Knowledge of bioinformatics tools or biological data modalities (e.g., genomic, proteomic, single-cell)
• Contributions to open-source projects
• Experience working in a fast-paced startup environment
• Understanding of FAIR data principles and reproducible research workflows
Company:
GenBio AI creates AI-driven models to simulate and predict biological systems at multiple scales. Founded in 2024, the company is headquartered in Palo Alto, USA, with a team of 51-200 employees. The company is currently Growth Stage.