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Hugging Face Jobs in Houston, TX (NOW HIRING)

Senior AI Language Model Engineer

Houston, TX · On-site

$99K - $137K/yr

Familiarity with modern NLP/LLM frameworks and libraries such as LangChain, LangGraph, Hugging Face Transformers, and vector databases. * Experience with Retrieval-Augmented Generation (RAG), multi ...

Production-level experience with Pandas, NumPy, scikit-learn, XGBoost, TensorFlow/PyTorch, Hugging Face Transformers, FastAPI/Flask, MLflow, and pytest SQL: Advanced proficiency with complex queries ...

Senior Software Engineer

Spring, TX

$109K - $143K/yr

Hands-on machine learning experience with frameworks such as PyTorch, TensorFlow / TensorFlow Lite, ONNX Runtime , or Hugging Face Transformers , including model inference, fine-tuning, and ...

Familiarity with modern NLP/LLM frameworks and libraries such as LangChain, LangGraph, Hugging Face Transformers, and vector databases. * Experience with Retrieval-Augmented Generation (RAG), multi ...

Strong Python skills, including experience with ML/AI frameworks (PyTorch, Hugging Face Transformers, LangChain/LlamaIndex/ Haystack, or similar). Experience with vector databases and embedding-based ...

AI Engineer

Houston, TX · On-site

$120 - $125/hr

Strong Python skills, including experience with ML/AI frameworks (PyTorch, Hugging Face Transformers, LangChain/LlamaIndex/ Haystack, or similar). * Experience with vector databases and embedding ...

New

Strong Python skills, including experience with ML/AI frameworks (PyTorch, Hugging Face Transformers, LangChain/LlamaIndex/ Haystack, or similar). Experience with vector databases and embedding-based ...

Principal AI/ML Software Engineer

Houston, TX · On-site

$128K - $172K/yr

Production-level experience with Pandas, NumPy, scikit-learn, XGBoost, TensorFlow/PyTorch, Hugging Face Transformers, FastAPI/Flask, MLflow, and pytest • SQL: Advanced proficiency with complex ...

Python, TensorFlow, PyTorch, Hugging Face, Scikit-learn, SQL. Expertise and knowledge of OpenAI's GPT models, Gemini, LLaMA, Alteryx. Big Data & Infrastructure: Spark, Kubernetes, Kafka, data lakes ...

Strong Python skills, including experience with ML/AI frameworks (PyTorch, Hugging Face Transformers, LangChain/LlamaIndex/ Haystack, or similar). Experience with vector databases and embedding-based ...

Cloud Architect

Houston, TX · Hybrid

$62 - $79/hr

Design AI/ML systems including model serving, MLOps pipelines, feature stores, and LLM-based applications (e.g., SageMaker, Vertex AI, MLflow, Hugging Face) * Define infrastructure as code, CI/CD ...

Cloud Architect

Houston, TX · On-site

$62 - $79/hr

Design AI/ML systems including model serving, MLOps pipelines, feature stores, and LLM-based applications (e.g., SageMaker, Vertex AI, MLflow, Hugging Face) * Define infrastructure as code, CI/CD ...

Senior AI/ML Engineer

Houston, TX · On-site

$99K - $137K/yr

NLP experience - hands-on with Hugging Face or similar * Computer Vision experience using OpenCV, scikit-image or similar tools for use cases like OCR, image classification, and image processing

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How much do hugging face jobs pay per hour?

As of Aug 21, 2026, the average hourly pay for hugging face in Houston, TX is $14.75, according to ZipRecruiter salary data. Most workers in this role earn between $12.40 and $17.45 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 Houston, TX?

For Hugging Face jobs in Houston, TX, the most frequently searched job titles are:

What cities near Houston, TX are hiring for Hugging Face jobs?

Cities near Houston, TX with the most Hugging Face job openings:

Infographic showing various Hugging Face job openings in Houston, TX as of August 2026, with employment types broken down into 1% As Needed, 78% Full Time, 19% Part Time, and 2% Contract. Highlights an 93% Physical, 1% Hybrid, and 6% Remote job distribution, with an average salary of $30,689 per year, or $14.8 per hour.

Senior AI Language Model Engineer

Oxy

Houston, TX • On-site

$99K - $137K/yr

Full-time

Re-posted 13 days ago


Job description

Oxy produces, markets and transports oil and natural gas to maximize value and provide resources fundamental to life. The company leverages its global leadership in carbon management to advance lower-carbon technologies and products. Headquartered in Houston, Oxy primarily operates in the United States, Middle East and North Africa. To learn more, visit Oxy
Oxy strives to attract and retain talented employees by investing in their professional development and providing rewarding opportunities for personal growth. Our goal is to meet the highest employer standards by ensuring the health and safety of our employees, protecting the environment and positively impacting our communities where we do business.
We are looking for an experienced and innovative individual contributor to fill the position of AI Language Model Engineer within our AI Center of Excellence group based in Houston, TX.
Essential Job Responsibilities
  • End-to-end design, research, development, and deployment of language engineering use cases, with continuous client engagement and collaboration.
  • Hands-on development in a shared codebase with the team. Back-end engineering with AWS, Terraform, etc. Working front-end proficiency when needed.
  • Design workflows for language model deployment. Perform prompt engineering, pre-processing, and post-processing to optimize output suitability.
  • Fine-tune and optimize multi-agentic systems to satisfy use case requirements.
  • Work with domain experts to assess model quality.

Qualifications:
  • PhD in Engineering, Computer Science, Data Science, Artificial Intelligence, or a related field.
  • Very strong proficiency in Python, with hands-on experience using version control systems.
  • Strong foundation in large language models (LLMs) and natural language processing (NLP), with practical experience demonstrated through GitHub repositories, research publications, or a portfolio.
  • Familiarity with modern NLP/LLM frameworks and libraries such as LangChain, LangGraph, Hugging Face Transformers, and vector databases.
  • Experience with Retrieval-Augmented Generation (RAG), multi-agentic systems, and agentic frameworks (e.g., Strands Agents SDK), with the ability to design, build, and deploy end-to-end AI agents and orchestration pipelines.
  • Familiarity with cloud platforms such as AWS (EC2, S3, SageMaker, Bedrock, etc.) through projects.
  • Strong communication skills for collaborating with teams and presenting technical results.

Additional Desired Qualifications:
  • Familiarity with any front-end development (e.g., React) to build user-facing applications.
  • Ability to end-to-end develop and deploy full-stack applications - from data ingestion and model development through back-end APIs to front-end interfaces - in addition to the core data science and ML work.
  • Experience with database systems (SQL and/or NoSQL) and data pipeline orchestration tools (e.g., Step Functions).
  • Experience working in fast-paced, startup-like, or R&D-heavy environments.

Occidental does not offer sponsorship of employment-based nonimmigrant visa petitions for this role.
Recruitment Fraud
It has come to our attention various individuals and/or organizations are contacting people falsely pretending to recruit on behalf of Oxy. Please be aware that these recruiting scams and communications do not originate nor are they associated with our recruitment process. All Oxy job postings and offers will require a completed application through our company website.
Oxy does not charge a fee at any stage of the recruiting process. We will never:
• Ask you to pay for applications, interviews, meetings, processing, training or for any other fees
• Use recruiting or placement agencies that charge candidates an advance fee of any kind or
• Request personal information such as passport and bank account details at an early stage of our recruitment process.
We recommend against responding to unsolicited business propositions or offers from people you don't know. Do not disclose your personal or financial details. If you believe you have been the victim of a recruiting scam, please contact your local police department.
All qualified applicants will receive consideration for employment without regard to age, race, creed, color, religion, sex, national origin, ancestry, disability status, veteran status, sexual orientation, gender identity or expression, genetic information, marital status, citizenship status or any other basis as protected by federal, state, or local law.

Oxy logo

About Oxy

Sourced by ZipRecruiter

For 100 years, Oxy has developed extensive assets, infrastructure, expertise and technology to fuel progress and improve lives around the world. Now we’re leveraging these resources to help solve the planet’s most pressing environmental challenges. We want to be part of the solution, so we're taking bold steps to innovate new technologies for a low-carbon future. Oxy produces energy and essential products to sustain and improve life on our planet. Our experienced teams, located in the United States, Middle East, Africa and Latin America, are committed to safe and efficient operations and products, and to reducing our carbon footprint and helping others do the same.

Industry

Oil and gas extraction

Company size

10,000+ Employees

Headquarters location

Houston, TX, US