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Huggingface Jobs in California (NOW HIRING)

Tesla

Staff Software Engineer, FinTech

Fremont, CA · On-site

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

Zoox

Machine Learning Automation Engineer

Foster City, CA · On-site

$160K - $225K/yr

  • Medical

  • Life

  • PTO

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.

Roku

Senior Machine Learning Engineer

San Jose, CA · On-site

$229K - $360K/yr

  • Medical

  • Life

  • PTO

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 ...

Cloudera

Staff Software Engineer - AI

San Jose, CA · Hybrid

$184K - $230K/yr

  • PTO

Experience with HuggingFace, Nvidia AI frameworks and Nim models. * Experience with AI/ML orchestration software KServe, Knative, Kubeflow. * Experience with building AI applications with machine ...

Turing

Client Director, Frontier Data - US

Palo Alto, CA · On-site

$255K - $325K/yr

Familiarity with ML tools and data workflows (e.g., HuggingFace, LangChain, Weights & Biases, Databricks) Preferred Qualifications * Experience evaluating large language model performance and/or ...

Cloudera

Staff Software Engineer - AI

San Jose, CA · On-site

$184K - $230K/yr

  • PTO

Experience with HuggingFace, Nvidia AI frameworks and Nim models. * Experience with AI/ML orchestration software KServe, Knative, Kubeflow. * Experience with building AI applications with machine ...

Cloudera, Inc.

Staff Software Engineer - AI

San Jose, CA · On-site

$184K - $230K/yr

  • PTO

Experience with HuggingFace, Nvidia AI frameworks and Nim models. * Experience with AI/ML orchestration software KServe, Knative, Kubeflow. * Experience with building AI applications with machine ...

Cloudera

Staff Software Engineer - AI

San Jose, CA · On-site

$184K - $230K/yr

  • PTO

Experience with HuggingFace, Nvidia AI frameworks and Nim models. * Experience with AI/ML orchestration software KServe, Knative, Kubeflow. * Experience with building AI applications with machine ...

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How much do huggingface jobs pay per hour?

As of Aug 19, 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 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:

Huggingface jobs near you
Infographic showing various Huggingface job openings in California as of August 2026, with employment types broken down into 99% Full Time, and 1% Contract. Highlights an 83% Physical, 3% Hybrid, and 14% Remote job distribution, with an average salary of $53,653 per year, or $25.8 per hour.

Staff Software Engineer, FinTech

Tesla

Fremont, CA • On-site

Full-time

Re-posted 14 days ago

Tesla rating

8.5

Company rating: 8.5 out of 10

Based on 682 frontline employees who took The Breakroom Quiz

1st of 44 rated automakers

Job description

Job Summary:
Tesla is seeking a Staff Software Engineer to join our Payments and FinTech team, spearheading the technical strategy and architecture of systems that keep the lights on for the company. The role involves designing scalable payment processing systems and collaborating with cross-functional teams to innovate and improve Tesla's financial platforms.
Responsibilities:
• Design, develop, and maintain scalable and efficient payment processing and financial systems for Tesla's products and services, ensuring 99.99% uptime
• Lead the architecture of core FinTech infrastructure, encompassing payments, reconciliation, billing, invoicing, and accounts receivables systems from 0 to 1 with an AI-first vision
• Develop and maintain API integrations with third-party payment processors, banks, and other financial institutions to facilitate global market complexities
• Identify and incorporate AI Agents and Large Language Models to increase automation in payments, billing, and reconciliation tasks, reducing operational toil
• Implement orchestration engines for reliability and human-in-the-loop workflows across FinTech platforms
• Mentor junior and senior engineers, contributing to the overall growth of the engineering team and driving best practices in system design and code quality
• Collaborate cross-functionally to ensure solutions align with system design, operational needs, and end-user impact, directly addressing pain points for internal and external stakeholders
• Improve the reliability and observability of FinTech platforms, including setting up distributed tracing, logging, and metrics pipelines for billing accuracy
• Stay up to date with the latest trends in the payments and software engineering industry to identify new opportunities and drive innovation, especially where AI and operational scale intersect
Qualifications:
Required:
• Degree in Computer Science, Information Technology, Software Engineering, or related field, or equivalent experience
• 8+ years of professional software engineering experience, including designing and operating production distributed systems at scale
• Strong proficiency in modern backend programming languages, with a specific preference for Go (Golang) or C#
• Solid Computer Science fundamentals and experience with CI/CD (Jenkins, Argo), containerization (Docker, Kubernetes), and observability tools (Prometheus, Grafana)
• Experience building AI agents or integrating intelligent systems (LLMs, prompt engineering) into real-world applications using platforms like OpenAI, HuggingFace, LangChain, or LlamaIndex
• Hands-on experience with workflow orchestration platforms (e.g., Temporal) and self-hosting complex infrastructure components in high-availability environments
• Demonstrated ability to architect and maintain distributed systems, with deep familiarity in service deployment and infrastructure operations
• Proven track record of handling global-scale complexities, such as multi-market payments and high-uptime requirements in mission-critical systems
Preferred:
• Familiarity with emerging AI technologies or tools for automation in financial workflows is highly desirable
Company:
Tesla is an electric vehicle and clean energy company that provides electric cars, solar, and renewable energy solutions. Founded in 2003, the company is headquartered in Austin, USA, with a team of 10001+ employees. The company is currently Late Stage.

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