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 ...
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 ...
IT Lead II - Data Science
Santa Clara, CA · On-site
... Hugging Face Transformers Qualifications : Required : • Design, develop, and deploy Custom AI agents capable of autonomous decision-making and task execution using LLMs and multi-modal models • ...
IT Lead II - Data Science
Santa Clara, CA · On-site
... Hugging Face Transformers Qualifications : Required : • Design, develop, and deploy Custom AI agents capable of autonomous decision-making and task execution using LLMs and multi-modal models • ...
Engineering Team Lead, Platform
San Francisco, CA · On-site
$190 - $240/hr
Our customers include companies like Microsoft, Perplexity, Hugging Face, Manus, and Groq. We're building the next hyperscaler for AI agents. ABOUT E2B E2B is a fast-growing Series A startup with 8 ...
Engineering Team Lead, Platform
San Francisco, CA · On-site
$190 - $240/hr
Our customers include companies like Microsoft, Perplexity, Hugging Face, Manus, and Groq. We're building the next hyperscaler for AI agents. ABOUT E2B E2B is a fast-growing Series A startup with 8 ...
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 ...
Quick apply
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 ...
AI Developer / AI Engineer
San Francisco, CA · On-site
... g., Hugging Face, LangChain, LLaMA) to improve performance and scalability Qualifications : Required : • 3+ years of experience in AI/ML engineering, with hands-on experience in building and ...
AI Developer / AI Engineer
San Francisco, CA · On-site
... g., Hugging Face, LangChain, LLaMA) to improve performance and scalability Qualifications : Required : • 3+ years of experience in AI/ML engineering, with hands-on experience in building and ...
IT - Technology Lead | Machine Learning | PYTHON
San Jose, CA · On-site
$164K - $202K/yr
Build and finetune Large Language Model LLMbased applications using frameworks like LangChain, Hugging Face, LangGraph, or OpenAI API.Implement NLP, computer vision, predictive analytics ...
IT - Technology Lead | Machine Learning | PYTHON
San Jose, CA · On-site
$164K - $202K/yr
Build and finetune Large Language Model LLMbased applications using frameworks like LangChain, Hugging Face, LangGraph, or OpenAI API.Implement NLP, computer vision, predictive analytics ...
ML Engineer
Santa Clara, CA · On-site
$55 - $60/hr
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 ...
Quick apply
ML Engineer
Santa Clara, CA · On-site
$55 - $60/hr
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 ...
ML Engineer
Santa Clara, CA · On-site
$55 - $60/hr
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 ...
ML Engineer
Santa Clara, CA · On-site
$55 - $60/hr
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 ...
Founding Engineer, Applied AI
San Francisco, CA · On-site +1
$180K - $250K/yr
Python, PyTorch, Hugging Face, W&B. Requirements * 2-6 years of experience (open to exceptional new grads) * Strong Python and ML-library experience (PyTorch, Hugging Face, W&B) * Experience building ...
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Founding Engineer, Applied AI
San Francisco, CA · On-site +1
$180K - $250K/yr
Python, PyTorch, Hugging Face, W&B. Requirements * 2-6 years of experience (open to exceptional new grads) * Strong Python and ML-library experience (PyTorch, Hugging Face, W&B) * Experience building ...
AI/Machine Learning Engineer
Irvine, CA · On-site
Python, PyTorch / TensorFlow, Hugging Face, LangChain / LlamaIndex, Vector DBs (e.g., Pinecone, Qdrant, pgvector) * MLOps & Infrastructure: Docker, Kubernetes, MLflow / Weights & Biases, Cloud ML ...
AI/Machine Learning Engineer
Irvine, CA · On-site
Python, PyTorch / TensorFlow, Hugging Face, LangChain / LlamaIndex, Vector DBs (e.g., Pinecone, Qdrant, pgvector) * MLOps & Infrastructure: Docker, Kubernetes, MLflow / Weights & Biases, Cloud ML ...
Python, PyTorch / TensorFlow, Hugging Face, LangChain / LlamaIndex, Vector DBs (e.g., Pinecone, Qdrant, pgvector) * MLOps & Infrastructure: Docker, Kubernetes, MLflow / Weights & Biases, Cloud ML ...
Python, PyTorch / TensorFlow, Hugging Face, LangChain / LlamaIndex, Vector DBs (e.g., Pinecone, Qdrant, pgvector) * MLOps & Infrastructure: Docker, Kubernetes, MLflow / Weights & Biases, Cloud ML ...
Machine Learning Engineer
San Francisco, CA · On-site
$140 - $210/hr
Experience with Python, Hugging Face, and OpenAI, Gemini and Anthropic SDKs. * Experience with designing evaluation frameworks, benchmarking model variants, and measuring before/after impact.
Machine Learning Engineer
San Francisco, CA · On-site
$140 - $210/hr
Experience with Python, Hugging Face, and OpenAI, Gemini and Anthropic SDKs. * Experience with designing evaluation frameworks, benchmarking model variants, and measuring before/after impact.
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 ...
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 ...
GenAI Engineer - Onsite
Santa Clara, CA · On-site
Responsibilities : • Demonstrate advanced programming expertise, particularly in Python, with deep proficiency in AI-centric libraries such as TensorFlow, PyTorch, and Hugging Face Transformers ...
GenAI Engineer - Onsite
Santa Clara, CA · On-site
Responsibilities : • Demonstrate advanced programming expertise, particularly in Python, with deep proficiency in AI-centric libraries such as TensorFlow, PyTorch, and Hugging Face Transformers ...
AI/ML Engineer
Santa Clara, CA · On-site
Experience with LangChain, Hugging Face, vLLM, and SGLang . * Strong knowledge of prompt engineering and LLM evaluation . * Experience with automated model benchmarking and performance analysis.
AI/ML Engineer
Santa Clara, CA · On-site
Experience with LangChain, Hugging Face, vLLM, and SGLang . * Strong knowledge of prompt engineering and LLM evaluation . * Experience with automated model benchmarking and performance analysis.
As part of our engine team, you will contribute directly to the company's proprietary inference engine which supports over 600,000 models on Hugging Face. You will work with the inventors of ...
As part of our engine team, you will contribute directly to the company's proprietary inference engine which supports over 600,000 models on Hugging Face. You will work with the inventors of ...
AI Engineer
Menlo Park, CA · On-site
$100 - $150/hr
Strong proficiency in Python and ML frameworks (PyTorch, TensorFlow, Hugging Face) * Experience with LLM fine-tuning, RLHF, and prompt engineering * Knowledge of model optimization techniques ...
AI Engineer
Menlo Park, CA · On-site
$100 - $150/hr
Strong proficiency in Python and ML frameworks (PyTorch, TensorFlow, Hugging Face) * Experience with LLM fine-tuning, RLHF, and prompt engineering * Knowledge of model optimization techniques ...
Senior Principal Al Engineer
Mountain View, CA · On-site
$130 - $170/hr
Expertly design, build, and tune production AI/ML models (NLP, Deep Learning, Recommender Systems, LLMs, Generative AI) using cutting‑edge frameworks (TensorFlow, PyTorch, Hugging Face, Keras ...
Senior Principal Al Engineer
Mountain View, CA · On-site
$130 - $170/hr
Expertly design, build, and tune production AI/ML models (NLP, Deep Learning, Recommender Systems, LLMs, Generative AI) using cutting‑edge frameworks (TensorFlow, PyTorch, Hugging Face, Keras ...
AI/Machine Learning Engineer
Irvine, CA · On-site
$175 - $200/hr
Python, PyTorch / TensorFlow, Hugging Face, LangChain / LlamaIndex, Vector DBs (e.g., Pinecone, Qdrant, pgvector); MLOps & Infrastructure: Docker, Kubernetes, MLflow / Weights & Biases, Cloud ML ...
AI/Machine Learning Engineer
Irvine, CA · On-site
$175 - $200/hr
Python, PyTorch / TensorFlow, Hugging Face, LangChain / LlamaIndex, Vector DBs (e.g., Pinecone, Qdrant, pgvector); MLOps & Infrastructure: Docker, Kubernetes, MLflow / Weights & Biases, Cloud ML ...
CA · On-site
$121K - $167K/yr
Experience with Azure AI Foundry, Azure OpenAI, Hugging Face, DeepSpeed, and PEFT. * Knowledge of distributed training and multi-GPU environments. * Experience with Agentic AI frameworks such as ...
CA · On-site
$121K - $167K/yr
Experience with Azure AI Foundry, Azure OpenAI, Hugging Face, DeepSpeed, and PEFT. * Knowledge of distributed training and multi-GPU environments. * Experience with Agentic AI frameworks such as ...
Hugging Face information
See California salary details
$8.78 - $9.86
3% of jobs
$9.86 - $10.93
5% of jobs
$10.93 - $12.01
6% of jobs
$12.97 is the 25th percentile. Wages below this are outliers.
$12.01 - $13.09
12% of jobs
$13.09 - $14.17
13% of jobs
The median wage is $14.88 / hr.
$14.17 - $15.25
17% of jobs
$15.25 - $16.33
9% of jobs
$17.32 is the 75th percentile. Wages above this are outliers.
$16.33 - $17.40
11% of jobs
$17.40 - $18.48
5% of jobs
$18.48 - $19.56
9% of jobs
$19.56 - $20.64
9% of jobs
$8
$15
$20
How much do hugging face jobs pay per hour?
As of Aug 31, 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?
| Aspect | Hugging Face | Machine Learning Engineer |
|---|---|---|
| Required Credentials | Typically requires knowledge of NLP, deep learning, and Python; certifications are optional | Requires degrees in CS or related fields; experience with ML frameworks; certifications beneficial |
| Work Environment | Collaborative, research-focused, often in tech companies or startups | Development, deployment, and optimization of ML models in various industries |
| Employer & Industry Usage | Used by AI/ML companies, research labs, and open-source communities | Employed 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:
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).
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_TIMEPreprocess, 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.