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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 ...

Alpha Consulting Corp.

Lead AI ML Engineer

San Jose, CA · On-site

$120K - $158K/yr

Hugging Face, Transformers, LLMs (BERT, GPT), Custom Chatbot, NLU, NLG. • Programming skills with Python and SQL. • Lead role experience with strong analytical skills. • Program Management. • ...

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 ...

E2B

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 ...

E2B

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 ...

ICW Group

Senior Applied AI Engineer

San Diego, CA · On-site

$110K - $152K/yr

Relevant AI/ML certifications (e.g., TensorFlow Developer, Hugging Face Course, or Generative AI specialization) are a plus. • Compliance or governance-related certifications (e.g., SOC 2, ISO ...

E2B

Platform Engineer

San Francisco, CA · On-site

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 ...

Prophecy Technologies

GenAI consultant

Palo Alto, CA · On-site

Preferred Skills Experience with GenAI frameworks like LangChain, Hugging Face Transformers, or OpenAI APIs. Knowledge of distributed systems and real-time data pipelines. Prior work on optimizing ...

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 ...

Adobe

Sr Design Engineer

San Jose, 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 ...

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How much do hugging face jobs pay per hour?

As of Jun 26, 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.

Which 3 jobs will survive AI?

Jobs that require complex human interaction, creativity, and critical thinking, such as healthcare professionals, software developers, and educators, are likely to persist despite AI advancements. These roles often involve emotional intelligence, nuanced decision-making, and specialized skills that are difficult for AI to replicate. Continuous learning and adaptability are essential for job security in an evolving AI landscape.

What job makes $10,000 a month without a degree?

High-paying roles that can earn $10,000 a month without a degree include skilled trades such as commercial diving, certain sales positions like real estate or software sales, and specialized tech roles like web development or cybersecurity, which often value skills and certifications over formal education. Success in these jobs typically requires experience, technical skills, or industry certifications, and they may involve self-employment or freelance work.

What jobs pay $2000 a day?

High-paying jobs that can pay around $2000 a day often include specialized roles such as senior software engineers, data scientists, management consultants, and certain freelance or contract positions in finance, law, or technology. These roles typically require advanced skills, extensive experience, and sometimes certifications, and may involve project-based or consulting work with flexible schedules.

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.

How much does Hugging Face pay?

Salaries at Hugging Face vary depending on the role, experience, and location, but the company generally offers competitive compensation for AI and machine learning positions. Entry-level roles may start around $80,000 annually, while more experienced engineers and researchers can earn over $150,000 per year. Benefits often include flexible schedules, remote work options, and opportunities to work with cutting-edge NLP tools.
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 June 2026, with employment types broken down into 9% As Needed, 52% Full Time, 12% Part Time, 6% Temporary, 18% Contract, and 3% Nights. Highlights an 73% Physical, 4% Hybrid, and 23% 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

Posted 23 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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