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Hugging Face Jobs in Irvine, CA (NOW HIRING)

Veritone

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 ...

Veritone

AI/Machine Learning Engineer

Irvine, CA

Python, PyTorch / TensorFlow, Hugging Face, LangChain / LlamaIndex, Vector DBs (e.g., Pinecone, Qdrant, pgvector) * MLOps & Infrastructure: Docker, Kubernetes, MLflow / Weights & Biases, Cloud ML ...

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 ...

acralending

AI Engineer

Irvine, CA

OpenAI, Anthropic, open-source LLMs, Hugging Face * Automation: n8n, UiPath, Zapier, Make, Apache Airflow * Cloud & DevOps: AWS, Azure, GCP, Docker, Kubernetes, CI/CD

acralending

AI Engineer

Irvine, CA · On-site

OpenAI, Anthropic, open-source LLMs, Hugging Face * Automation: n8n, UiPath, Zapier, Make, Apache Airflow * Cloud & DevOps: AWS, Azure, GCP, Docker, Kubernetes, CI/CD

Acra Lending

AI Engineer

Irvine, CA · On-site

$140K - $160K/yr

OpenAI, Anthropic, open-source LLMs, Hugging Face * Automation: n8n, UiPath, Zapier, Make, Apache Airflow * Cloud & DevOps: AWS, Azure, GCP, Docker, Kubernetes, CI/CD Benefits Our benefit offerings ...

KORE1 Technologies

Sr Full Stack Engineer

Irvine, CA

Knowledge in Python and relevant libraries/frameworks such as TensorFlow, PyTorch, Hugging Face Transformers, and LangChain. * Hands-on experience with GenAI and LLMs, including fine-tuning, prompt ...

KORE1 Technologies

Sr Full Stack Engineer

Irvine, CA · On-site

Knowledge in Python and relevant libraries/frameworks such as TensorFlow, PyTorch, Hugging Face Transformers, and LangChain. * Hands-on experience with GenAI and LLMs, including fine-tuning, prompt ...

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How much do hugging face jobs pay per hour?

As of Aug 31, 2026, the average hourly pay for hugging face in Irvine, CA is $16.59, according to ZipRecruiter salary data. Most workers in this role earn between $13.94 and $19.62 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.

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Hugging Face jobs near you
Infographic showing various Hugging Face job openings in Irvine, CA as of August 2026, with employment types broken down into 84% Full Time, 14% Part Time, and 2% Contract. Highlights an 88% Physical, 1% Hybrid, and 11% Remote job distribution, with an average salary of $34,510 per year, or $16.6 per hour.

AI/Machine Learning Engineer

Veritone

Irvine, CA • On-site

Full-time

Medical, Life, Retirement, PTO

Posted 26 days ago

Job description

POSITION SUMMARY
The AI/ML Engineer will participate in building, documenting, and refactoring production-grade AI/ML pipelines, model integration layers, and scalable features that grow with business needs.
WHAT YOU'LL DO
Process
  • You identify and analyze areas in existing code, model inference workflows, and data pipelines for optimization, efficiency, and latency improvements.
Team
  • You partner with product, design, data, and infrastructure teams to integrate AI/ML capabilities and intelligent services into application workflows.
  • You participate in on-call support rotation for production ML services, if necessary.
  • You actively participate in team meetings: sharing knowledge on emerging AI trends, asking questions, and challenging assumptions.
  • You actively help your team meet their commitments.
  • You are open to constructive feedback from teammates and management.
Personal
  • You continuously improve your technical skills and stay current with rapid developments in the AI/ML landscape.
  • Proven track record of writing maintainable code, including unit/integration tests, evaluation benchmarks, and readable code.
  • Expertise with learning new frameworks, algorithms, and technical stacks quickly.
  • Familiarity with our tech stack:
    • AI/ML & Data: Python, PyTorch / TensorFlow, Hugging Face, LangChain / LlamaIndex, Vector DBs (e.g., Pinecone, Qdrant, pgvector)
    • MLOps & Infrastructure: Docker, Kubernetes, MLflow / Weights & Biases, Cloud ML Platforms (AWS SageMaker, GCP Vertex AI, etc.)
    • Backend & API: Python, Go, Node.js, GraphQL, ElasticSearch, and Postgres

WHAT YOU'LL NEED
  • At least 3 years of professional experience building and deploying software systems, with direct experience integrating, fine-tuning, or operating AI/ML models in production environments.
  • Deep proficiency with Python and standard ML libraries (e.g., PyTorch, NumPy, Pandas, Scikit-learn, Hugging Face).
  • Hands-on experience with LLMs, RAG architectures, prompt engineering, or traditional ML model pipelines and inference serving.
  • Ability to design and implement robust APIs and backend microservices in Python (bonus if experienced with Go or Node.js).
  • Professional experience working with RDBMSs, NoSQL DBs, and Vector Databases.
  • Demonstrated participation in the successful deployment, monitoring, and scaling of machine learning workloads and production code.

DISCLOSURE
Our company provides equal employment opportunities (EEO) to all employees and applicants for employment without regard to race, color, religion, sex, national origin, age, disability or genetics.
(Colorado & California Only*): The Annual salary listed for the position is a range of $175,000.00-$200,00.00. This base pay is for illustrative purposes only and will be determined based on skills and experience comparable to the job requirements. This position may be eligible for additional compensation and benefits including but not limited to: incentive compensation; health benefits; retirement benefits; life insurance; paid time off; parental leave and benefits; and other employee perks and benefits.
*Note: Disclosure as required by sb19-085 (8-5-20) of the minimum salary compensation for this role when being hired in Colorado & California.

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