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Huggingface Jobs in Texas (NOW HIRING)

Gartner

Sr. Data Scientist

Irving, TX · On-site

Experience and proficiency with Python, machine learning tools (e.g., scikit-learn, spacy, nltk), deep learning frameworks (e.g., pytorch, tensorflow, huggingface), LLM frameworks (e.g., LangChain ...

Invoca

Senior ML Engineer

Austin, TX · On-site +1

$103K - $142K/yr

Advanced Python and deep learning proficiency (PyTorch, HuggingFace Transformers, spaCy) * Demonstrated track record deploying and maintaining transformer-based NLP models in production * Hands-on ...

Apex Systems

Senior AI/ML Engineer

Houston, TX · On-site

$99K - $137K/yr

What they need is someone with experience in LLMs, NLP using Huggingface or similar models. * Will need experience in computer vision models, OpenCV or similar, for OCR, image classification, or ...

Toyota

Security ML / AI Engineer, Lead

Plano, TX · On-site

HuggingFace ecosystem experience - model hub, tokenizers, datasets library, PEFT * Experience with RAG architectures and vector databases * Background in multi-model routing or mixture-of-experts ...

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What are the key skills and qualifications needed to thrive in the Huggingface position, and why are they important?

To thrive in a role at Hugging Face, you typically need strong skills in machine learning, natural language processing (NLP), and software development, supported by a relevant degree in computer science or a related field. Familiarity with frameworks like PyTorch or TensorFlow, plus experience using version control systems such as Git, are often required; open-source contributions and cloud platform knowledge are a plus. Excellent communication, collaborative teamwork, and problem-solving abilities help candidates stand out in this dynamic, innovation-driven environment. These strengths are crucial because they enable individuals to develop high-impact AI tools, work effectively in interdisciplinary teams, and contribute to open-source communities.

What does a typical day look like for an engineer working at Hugging Face?

As an engineer at Hugging Face, your day typically involves collaborating with team members to design, develop, and improve state-of-the-art machine learning models and tools, with a strong focus on open-source NLP projects. You’ll participate in code reviews, experiment with new technologies, engage with the community through forums or GitHub, and help support user questions or issues. Expect a fast-paced, collaborative environment where cross-functional teamwork with product managers, researchers, and other engineers is common. The work is project-driven, with plenty of opportunities to contribute ideas, learn from experts, and advance your technical skills.

What is a Huggingface job?

A Hugging Face job typically refers to a role at Hugging Face, a company specializing in machine learning and natural language processing (NLP). Employees at Hugging Face work on developing and maintaining open-source AI tools, including the popular Transformers library. Roles range from research and engineering to product and community development, often focusing on advancing state-of-the-art AI models.

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Huggingface jobs near you
Infographic showing various Huggingface job openings in Texas as of June 2026, with employment types broken down into 35% Full Time, 23% Part Time, and 42% Contract. Highlights an 80% In-person, and 20% Remote job distribution.
Sr. Bioinformatics ML/AI Engineer

Sr. Bioinformatics ML/AI Engineer

Baylor Genetics

Houston, TX • On-site

Full-time

Posted 27 days ago

Job description

A seasoned machine learning and AI application engineer with strong knowledge and hands-on experience in bioinformatics, genomic/clinical data modeling, AI/GenAI application development, data engineering, and cloud computing.
QUALIFICATIONS:
  • Education:
    • Master's or higher degree in Computer Engineering, Data Science, Bioinformatics, Machine Learning, and Data modeling, or related field with five (5) years of experience in genomic data analysis and application development.
  • Experience:
    • Hands-on experience in clinical bioinformatics pipeline development, including secondary/tertiary analysis, variant interpretation and classification pipeline R&D, and automated report generation
    • Hands-on experience in human genetics/multi-omics data modeling and application development, especially in next-generation sequencing data
    • Hands-on experience in machine learning framework (such as Huggingface, TensorFlow)
    • Hands-on experience in automated and scalable AI/GenAI application evaluation, development, and deployment.
    • Hands-on experience in RAG AI framework
    • Hands-on experience with scripting languages, such as Bash and Python
    • Strong experience in cloud platform (Azure) and data services (data lakehouse/data warehouse)
    • Experience in context-aware OCR
    • Experience in databases, including SQL and NoSQL
    • Familiarity with advanced data visualization techniques
    • DevOps experience such as unit testing, CI/CD is a plus.
    • Strong curiosity and the ability to learn quickly and adapt to a fast-changing environment

DUTIES AND RESPONSIBILITIES:
  • Serves as the SME in Bioinformatics ML/AI application development in a clinical genetic testing setting. Provides hands-on support towards building the company's next-generation bioinformatics ML/AI platform
  • Designs, develops, evaluates, and deploys state-of-the-art ML/AI solutions to gain valuable data insights based on the genetical, phenotypical, and clinical datasets
  • Evaluates, adopts, and customizes GenAI models based on both internal and external datasets to enhance the overall performance of the genetic testing workflow
  • Supports both internal and external data requirements by leveraging AI/ML and GenAI capabilities to keep up with the increasing demands of the business
  • Collaborates in a multidisciplinary and regulated clinical diagnostics environment with geneticists, bioinformaticians, software engineers, and IT infrastructure professionals

PHYSICAL DEMANDS AND WORK ENVIRONMENT:
  • Frequently required to sit
  • Frequently required to stand
  • Frequently required to utilize hand and finger dexterity
  • Frequently required to talk or hear
  • Frequently required to utilize visual acuity to operate equipment, read technical information, and/or use a keyboard
  • Occasionally exposed to bloodborne and airborne pathogens or infectious materials

EEO Statement:
Baylor Genetics is proud to be an equal opportunity employer dedicated to building an inclusive and diverse workforce. We do not discriminate based on race, religion, color, national origin, sex, sexual orientation, age, gender identity, veteran status, disability, genetic information, pregnancy, childbirth, or related medical conditions, or any other status protected under applicable federal, state, or local law.
Summary:
The Director, Corporate Financial Planning & Analysis is responsible for leading Baylor Genetics' strategic financial planning, budgeting, forecasting, FP&A process improvement. This role plays a critical part in aligning financial strategy with long-term business goals. The Director will provide executive-level insights to leadership and external stakeholders while ensuring financial models and projections reflect the organization's growth trajectory and performance.
Qualifications and Experience:
  • Education:
    • Bachelor's degree in Finance, Accounting, or a related field; MBA or relevant advanced degree preferred.
Experience:
  • Minimum of 10 years of experience in financial planning and analysis or corporate finance
  • At least 3 years in a financial leadership role
  • Proven success in FP&A process improvement, experience in Adaptive planning platform implementation required
  • Strong background in financial modeling, budgeting, and strategic forecasting
Duties and Responsibilities:
  • Strategic Financial Planning & Forecasting:
    • Lead the development of company-wide financial models and long-term forecasts
    • Translate strategic objectives into detailed financial plans aligned with organizational priorities
    • Collaborate with executive leadership to assess financial performance, risks, and growth opportunities
Budget and Forecast Management:
  • Oversee the annual budgeting process and rolling forecasts
  • Ensure alignment between actual results and forecasts, identifying key trends and drivers
  • Partner with department heads to develop financially sound operational plans
Revenue Analysis & Decision Support:
  • Lead revenue and margin analysis to support strategic decision-making
  • Drive business performance by analyzing sales trends, pricing strategies, and market dynamics
  • Provide financial insights that support resource allocation and investment decisions
Dashboards, Planning and Reporting:
  • Develop and maintain dashboards, planning and reporting tools for executive and departmental use including Adaptive planning platform
  • Provide timely and actionable financial insights to guide company performance
Team Leadership:
  • Build and lead a high-performing FP&A team
  • Foster a culture of collaboration, continuous improvement, and accountability
Physical Demands and Work Environment:
  • Frequently required to
  • Frequently required to utilize hand and finger
  • Frequently required to talk or
EEO Statement:
Baylor Genetics is proud to be an equal opportunity employer dedicated to building an inclusive and diverse workforce. We do not discriminate based on race, religion, color, national origin, sex, sexual orientation, age, gender identity, veteran status, disability, genetic information, pregnancy, childbirth, or related medical conditions, or any other status protected under applicable federal, state, or local law.
Note to Recruiters:
We value building direct relationships with our candidates and prefer to manage our hiring process internally. While we occasionally partner with select recruitment agencies for specialized roles, we do not accept unsolicited resumes from recruiters or agencies without a written agreement executed by the authorized signatory for Baylor Genetics ("Agreement"). Any resumes submitted to Baylor Genetics in the absence of an Agreement executed by Baylor Genetics' authorized signatory will be considered the property of Baylor Genetics, and Baylor Genetics will not be obligated to pay any associated recruitment fees.
Equal Opportunity Employer
This employer is required to notify all applicants of their rights pursuant to federal employment laws. For further information, please review the Know Your Rights notice from the Department of Labor.

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