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 ...
Product Engineer - AI
San Francisco, CA · On-site
$180K - $220K/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 Your job will be to inspire developers ...
Product Engineer - AI
San Francisco, CA · On-site
$180K - $220K/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 Your job will be to inspire developers ...
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 ...
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 ...
Technical Recruiter
San Francisco, CA · On-site
$150K - $200K/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 As a Technical Recruiter at E2B, you'll ...
Technical Recruiter
San Francisco, CA · On-site
$150K - $200K/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 As a Technical Recruiter at E2B, you'll ...
DevRel Engineer
San Francisco, CA · On-site
$225K - $275K/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 Your job will be to inspire developers and ...
DevRel Engineer
San Francisco, CA · On-site
$225K - $275K/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 Your job will be to inspire developers and ...
Founding Designer
San Francisco, CA · On-site
$170K - $250K/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 As the Founding Designer at E2B , you'll ...
Founding Designer
San Francisco, CA · On-site
$170K - $250K/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 As the Founding Designer at E2B , you'll ...
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 E2B E2B is a fast-growing Series A startup with 8 ...
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 E2B E2B is a fast-growing Series A startup with 8 ...
As part of our engine team, you will contribute directly to the company's proprietary inference engine which supports over 450,000 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 450,000 models on Hugging Face. You will work with the inventors of ...
Senior Principal Software Engineer - AI
Mountain View, CA · On-site
$150 - $200/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 Software Engineer - AI
Mountain View, CA · On-site
$150 - $200/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 ...
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 ...
Platform Engineer
San Francisco, CA · On-site
$250K - $350K/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 will be building the next cloud ...
Platform Engineer
San Francisco, CA · On-site
$250K - $350K/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 will be building the next cloud ...
Overseas Contractor
Santa Clara, CA · On-site
... Hugging Face ecosystem Security SOC2ISO27001 DLPPII redaction strategies KMSKey Vault
Overseas Contractor
Santa Clara, CA · On-site
... Hugging Face ecosystem Security SOC2ISO27001 DLPPII redaction strategies KMSKey Vault
Expression of Interest
San Francisco, CA · On-site
We're backed by the founders and execs of the leading companies in AI, neurotech, consumer hardware and pharmaceuticals - including Google, Hugging Face, Apple, Stability, Microsoft and Dropbox. We ...
Expression of Interest
San Francisco, CA · On-site
We're backed by the founders and execs of the leading companies in AI, neurotech, consumer hardware and pharmaceuticals - including Google, Hugging Face, Apple, Stability, Microsoft and Dropbox. We ...
Hands on experience building applications using LLMs (e.g., OpenAI, Azure OpenAI, Hugging Face, Anthropic). * Familiarity with vector databases (e.g., FAISS, Milvus, Pinecone) and retrieval augmented ...
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Hands on experience building applications using LLMs (e.g., OpenAI, Azure OpenAI, Hugging Face, Anthropic). * Familiarity with vector databases (e.g., FAISS, Milvus, Pinecone) and retrieval augmented ...
Senior Data Scientist - NLP/LLM Specialist
San Diego, CA · On-site
$155K - $240K/yr
PyTorch, TensorFlow, Hugging Face Transformers * Infrastructure: Kubernetes, Docker, cloud platforms (AWS/GCP/Azure) * Tools: MLflow, Weights & Biases, Apache Airflow, Spark, Vector databases ...
Senior Data Scientist - NLP/LLM Specialist
San Diego, CA · On-site
$155K - $240K/yr
PyTorch, TensorFlow, Hugging Face Transformers * Infrastructure: Kubernetes, Docker, cloud platforms (AWS/GCP/Azure) * Tools: MLflow, Weights & Biases, Apache Airflow, Spark, Vector databases ...
Senior Data Scientist - NLP/LLM Specialist
San Diego, CA · On-site
$155K - $240K/yr
PyTorch, TensorFlow, Hugging Face Transformers * Infrastructure: Kubernetes, Docker, cloud platforms (AWS/GCP/Azure) * Tools: MLflow, Weights & Biases, Apache Airflow, Spark, Vector databases ...
Quick apply
Senior Data Scientist - NLP/LLM Specialist
San Diego, CA · On-site
$155K - $240K/yr
PyTorch, TensorFlow, Hugging Face Transformers * Infrastructure: Kubernetes, Docker, cloud platforms (AWS/GCP/Azure) * Tools: MLflow, Weights & Biases, Apache Airflow, Spark, Vector databases ...
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 ...
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 ...
Ability to take an open-source hugging face model and productionalize it so that user can use it on custom data. * Plan the builds with Swagger CodeGen, Editor and Inspector. * Experience with ...
Ability to take an open-source hugging face model and productionalize it so that user can use it on custom data. * Plan the builds with Swagger CodeGen, Editor and Inspector. * Experience with ...
Sr Design Engineer
San Francisco, CA · On-site
Architect and implement AI/LLM integrations (OpenAI, Anthropic, Hugging Face) that augment design capabilities in meaningful ways * Write clean, maintainable, well-tested code that other engineers ...
Sr Design Engineer
San Francisco, CA · On-site
Architect and implement AI/LLM integrations (OpenAI, Anthropic, Hugging Face) that augment design capabilities in meaningful ways * Write clean, maintainable, well-tested code that other engineers ...
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 Jul 16, 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.
Can you make money on Hugging Face?
Hugging Face is a platform that offers opportunities for data scientists, machine learning engineers, and developers to monetize their skills through jobs, freelance projects, or contributing to open-source models. Earning potential depends on the type of work, experience, and whether you are employed directly or working independently. Building a strong portfolio and expertise in NLP and AI tools can increase income opportunities on the platform.
Which 3 jobs will survive AI?
Jobs that require complex human interaction, creativity, and critical thinking, such as healthcare professionals, educators, and skilled tradespeople, are likely to persist despite AI advancements. These roles often involve emotional intelligence, nuanced judgment, and hands-on skills that are difficult for AI to replicate. Continuous learning and adaptability remain important for job security in an evolving technological landscape.
What are Hugging Face jobs?
Hugging Face jobs refer to employment opportunities at the company focused on developing and maintaining open-source machine learning tools, especially in natural language processing. Roles may include software engineering, research, data science, and product management, often requiring skills in Python, deep learning frameworks, and collaboration in a tech environment.
How much do Hugging Face engineers make?
Hugging Face engineers' salaries vary based on experience, role, and location, but generally range from $100,000 to $180,000 annually. Senior positions and specialized roles in machine learning or software engineering tend to offer higher compensation, often including stock options and benefits.
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:
Full-time
Re-posted 13 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).
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.