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Hugging Face Jobs in California (NOW HIRING)

Innowhyte Inc

Key Responsibilities Design, fine-tune, and deploy LLMs using frameworks like Hugging Face or OpenAI APIs. Build and implement RAG pipelines with vector databases (e.g., Pinecone, FAISS). Develop ...

Saransh Inc

Junior Gen AI Engineer

Santa Clara, CA · On-site

Demonstrate advanced programming expertise, particularly in Python, with deep proficiency in AI-centric libraries such as TensorFlow, PyTorch, and Hugging Face Transformers. * Architect and implement ...

Campfire

AI Engineer

San Francisco, CA · On-site

... Hugging Face) and fine-tuning for real-world use cases. Company : Campfire is the AI-native ERP for high-growth companies. Founded in 2023, the company is headquartered in San Francisco, USA, with a ...

E2B

Engineering Team Lead, Platform

San Francisco, CA · On-site

$120K - $159K/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 You'll run the Platform team that ships ...

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 ...

Kinetic

Senior Machine Learning Engineer

Costa Mesa, CA · On-site

$112K - $154K/yr

PyTorch, torchvision, Detectron2 or MMDetection/Segmentation, and Hugging Face Transformers * Experience with Python services (FastAPI/Flask), Docker, and AWS services (S3, Batch/EC2, ECR) is ...

ICW Group

Applied AI Engineer

San Diego, CA · On-site

Optional AI/ML certifications (e.g., TensorFlow Developer, Hugging Face Course, or Generative AI specialization) are a plus. * Awareness of compliance and governance standards (SOC 2, ISO 27001) is ...

ICW Group

Applied AI Engineer

San Diego, CA · On-site

Optional AI/ML certifications (e.g., TensorFlow Developer, Hugging Face Course, or Generative AI specialization) are a plus. * Awareness of compliance and governance standards (SOC 2, ISO 27001) 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:
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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.

AI Engineer (Remote)

Innowhyte Inc

Remote

Full-time

Re-posted 4 days ago

Job description

We are hiring an AI Engineer specializing in LLMs (Large Language Models), Retrieval Augmented Generation (RAG), and Generative AI. The role involves building advanced AI solutions that leverage state-of-the-art technologies.
Key Responsibilities
Design, fine-tune, and deploy LLMs using frameworks like Hugging Face or OpenAI APIs.
Build and implement RAG pipelines with vector databases (e.g., Pinecone, FAISS). 
Develop Generative AI solutions, including chatbots, summarization, and content creation tools.
Preprocess, clean, and annotate datasets for training and evaluation.
Optimize models for performance using techniques like quantization and pruning.
Deploy scalable solutions in production using Docker, Kubernetes, and cloud platforms (AWS, GCP, Azure).
Monitor and troubleshoot deployed models for accuracy and reliability.
Collaborate with cross-functional teams to align AI capabilities with business objectives.
Stay updated with advancements in AI/ML research and integrate best practices.
Requirements
Proficiency in Python and NLP frameworks (Hugging Face, spaCy, PyTorch, TensorFlow).
Strong understanding of transformer architectures and generative models like GPT or BERT.
Experience with vector search databases (Pinecone, Weaviate, Elasticsearch).
Familiarity with cloud-based AI platforms and containerization tools.
Excellent problem-solving, analytical, and communication skills.
Employment Type: FULL_TIME

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