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Hugging Face Jobs in California (NOW HIRING)

Staffingine LLC

AI Architect

Torrance, CA · On-site

$65.75 - $86.75/hr

AIML Frameworks OpenAI API Hugging Face Transformers TensorFlow PyT orch experience with finetuning and inference optimization * Data Context Management SQL Alchemy PostgreSQL JSON Schema Mapping ...

Cypress HCM

LLM Research Engineer

Mountain View, CA · On-site

$90 - $121.86/hr

Familiarity with Hugging Face libraries and OpenAI APIs. * Experience with MLOps tools like Docker, Kubernetes, and CI/CD pipelines. * Strong understanding of distributed computing and GPU ...

HCL Global Systems Inc

GenAI expert

Woodland Hills, CA · On-site

Required : • Solid background in Data Science and Machine Learning • Hands-on experience with Generative AI / LLMs (e.g., OpenAI, Hugging Face, LangChain, etc.) • Strong experience in Python ...

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

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 ...

Hop

AI/ML Engineer

San Francisco, CA

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

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 ...

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 ...

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How much do hugging face jobs pay per hour?

As of Aug 9, 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 77% Full Time, 20% Part Time, 1% Temporary, and 2% Contract. Highlights an 90% Physical, 1% Hybrid, and 9% Remote job distribution, with an average salary of $31,730 per year, or $15.3 per hour.

Member of Technical Staff - Multi-Modal, Vision

Liquid AI

San Francisco, CA • On-site

Full-time

Re-posted 27 days ago

Job description

Job Summary:
Liquid AI, spun out of MIT CSAIL, builds general-purpose AI systems that ensure low latency and reliability across various deployment targets. The VLM team focuses on developing vision-language models, owning the full pipeline from research to deployment, and is seeking a hands-on individual to contribute to their innovative projects.
Responsibilities:
• Lead a new model capability end-to-end from task spec through data curation, training recipe, ablations, evaluation, and into the final shipped model.
• Improve visual reasoning through reinforcement learning and preference optimization methods.
• Push the quality-efficiency frontier on token efficiency via encoder/connector design. Exemplary outcome: a connector that cuts vision tokens without quality loss.
Qualifications:
Required:
• Hands-on experience in training or evaluating VLMs with demonstrated experimental rigor.
• Ability to turn research ideas into scalable implementations, refine and iterate through hypotheses.
• Proficiency in Python and at least one deep learning framework.
• M.S. or Ph.D. in Computer Science, Mathematics, or a related field; or equivalent industry experience.
Preferred:
• Building or optimizing multimodal training or data pipelines.
• Experience with distributed training (DeepSpeed, FSDP, Megatron-LM, etc.).
• Multimodal post-training experience (SFT, preference optimization, RL-style methods).
• Dataset design and data quality expertise (quality and diversity assessment, long-tail mining).
• Prior open-source contributions (code, data, models) on GitHub or Hugging Face.
• Published research at top AI conferences (NeurIPS, ICML, CVPR, ECCV, ICLR, ACL, etc.).
• Experience with computer vision or visual representation learning.
Company:
Liquid AI develops artificial intelligence solutions for data analysis and decision-making across various industries. Founded in 2023, the company is headquartered in Cambridge, USA, with a team of 51-200 employees. The company is currently Growth Stage.

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