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Huggingface Jobs in California (NOW HIRING)

White Circle

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 ...

Prime Intellect

Head of Enterprise

San Francisco, CA · On-site

$150/hr

... 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 ...

Yum! Brands

Associate Manager Machine Learning

Irvine, CA · Hybrid

$134K - $158K/yr

Strong programming skills in Python and ML tooling (e.g., PyTorch, HuggingFace, ONNX, MLflow). * Experience optimizing model latency and integrating ML with backend infrastructure. Preferred ...

Turing

Principal AI Engineer - Frontier Data

San Francisco, CA · On-site

$159K - $213K/yr

PyTorch, LangChain, LlamaIndex, Pinecone/Weaviate, OpenAI/Anthropic APIs, HuggingFace. * Infra (Expertise in all is not required) : Kubernetes, Terraform, AWS/GCP. Compensation 232,000 - 260,000 base ...

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How much do huggingface jobs pay per hour?

As of Jun 16, 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.

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Software Engineer - AI Agents

FriendliAI Corp

San Francisco, CA

Other

Medical

Posted 24 days ago

Job description

About the Job
We're seeking an Agent Engineer to design and build agentic features in our platform, including document understanding, advanced RAG, and customer support automation. In this role, you will develop not only the agent components themselves, but also the Friendli Agent API, which serves as the core developer interface for building and extending agent applications. You will also build agent applications as production-ready examples of how agents can solve real-world problems.
These applications will be primarily written in Python and will serve as reference implementations for our customers and community. We are looking for a hands-on engineer who is passionate about building agent systems and making AI easy for developers to adopt. The ideal candidate is comfortable creating agent applications that showcase what is possible, is curious about and experienced with open-source models, and enjoys turning them into reliable, high-impact features.
Key Responsibilities
  • Design, build, and maintain agent APIs and applications that deliver document understanding and other high-value features
  • Evaluate and integrate open-source models to power production-ready agent features where possible
  • Develop reference agent applications to showcase workflows and accelerate customer adoption
  • Collaborate with backend and infrastructure teams to integrate agents with deployment, orchestration, and monitoring systems
  • Ensure APIs are robust, developer-friendly, and enterprise-ready through strong design principles and documentation
  • Continuously improve the reliability, scalability, and performance of agent features in production
Qualifications
  • 3+ years of experience in software engineering, preferably in backend, ML systems, or API development
  • Bachelor's or Master's degree in Computer Science, Computer Engineering, or equivalent
  • Strong programming skills in Python; experience with various Python frameworks
  • Solid understanding of LLM workflows, agent patterns, or tool invocation systems
  • Experience designing and delivering production APIs
  • Familiarity with open-source LLMs and multimodal models (HuggingFace, LangChain, LlamaIndex, etc.)
  • Strong foundations in cloud-native development
Preferred Experience
  • Experience with document understanding pipelines (e.g., OCR, RAG, summarization, structured extraction)
  • Familiarity with Kubernetes or container orchestration in production
  • Built or contributed to agent frameworks, SDKs, or CLIs
  • Have worked in a startup or fast-paced environments with ownership and ambiguity
  • Passion for developer experience and enabling AI adoption
Benefits
  • Flexible working hours
  • Daily lunch and dinner provided; unlimited snacks and beverages
  • Supportive and highly collaborative work environment
  • Health check-up support and top-tier equipment/hardware support
  • A front-row seat to the generative AI infrastructure revolution
  • Competitive compensation, startup equity, health insurance, and other benefits.

About FriendliAI
FriendliAI is building the world's best AI inference platform that makes large language and multi-modal models fast, efficient, and deployable at scale. We power high-throughput, low-latency AI workloads for organizations worldwide and integrate directly with Hugging Face, giving developers instant access to over 500,000 open-source models.
We are a small, fast-moving team doing work that matters at one of the most exciting moments in the history of technology. With our world-class inference engine, we are building a platform that the AI industry can actually rely on.

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