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Research Assistant Machine Learning Jobs in Lubbock, TX

Virtual Teller I

Lubbock, TX · On-site

$12.25 - $15.25/hr

... learning and excelling in creating the very best member experience. The Virtual Teller's core ... machines (ITM's). * Receive and process checks, cash, and mail in payments from members * Assist ...

Virtual Teller I

Lubbock, TX · On-site +1

$12.25 - $15.25/hr

... learning and excelling in creating the very best member experience. The Virtual Teller's core ... machines (ITM's). * Receive and process checks, cash, and mail in payments from members * Assist ...

Virtual Teller I

Lubbock, TX · On-site

$12.25 - $15.25/hr

... learning and excelling in creating the very best member experience. The Virtual Teller's core ... machines (ITM's). * Receive and process checks, cash, and mail in payments from members * Assist ...

Virtual Teller I

Lubbock, TX · On-site +1

$12.25 - $15.25/hr

... learning and excelling in creating the very best member experience. The Virtual Teller's core ... machines (ITM's). * Receive and process checks, cash, and mail in payments from members * Assist ...

Showing results 21-40

Research Assistant Machine Learning information

See Lubbock, TX salary details

$7

$18

$27

How much do research assistant machine learning jobs pay per hour?

As of Aug 20, 2026, the average hourly pay for research assistant machine learning in Lubbock, TX is $18.81, according to ZipRecruiter salary data. Most workers in this role earn between $15.91 and $21.88 per hour, depending on experience, location, and employer.

What is a research assistant machine learning?

A Research Assistant in Machine Learning supports research projects by implementing algorithms, analyzing data, and conducting experiments to advance AI models. They assist senior researchers by preprocessing datasets, developing machine learning models, and evaluating their performance. Responsibilities may also include coding, literature reviews, and writing research papers. This role is typically found in academia, research labs, or industry R&D teams. Strong programming skills, statistical knowledge, and familiarity with ML frameworks like TensorFlow or PyTorch are essential.

What types of projects might a research assistant machine learning typically work on?

As a Research Assistant in Machine Learning, you may be involved in projects such as developing and evaluating predictive models, processing and analyzing large datasets, and assisting in the publication of research findings. Your work could contribute to applications like natural language processing, computer vision, or recommendation systems, depending on the focus of the research group. You’ll often collaborate closely with senior researchers, data scientists, or PhD students, allowing you to participate in brainstorming sessions, code development, and experimental design. This experience provides valuable exposure to cutting-edge technology and can serve as a strong foundation for a research or industry career in machine learning.

What are the key skills and qualifications needed to thrive as a research assistant machine learning?

To thrive as a Research Assistant Machine Learning, you need a solid understanding of machine learning algorithms, programming skills (especially in Python or R), and a background in statistics or computer science, often supported by a bachelor’s or master’s degree. Experience with frameworks such as TensorFlow, PyTorch, and data analysis tools, as well as familiarity with version control systems like Git, is highly beneficial. Strong problem-solving abilities, attention to detail, and effective communication skills help you excel in collaborative research environments. These skills ensure you can contribute meaningfully to research projects, analyze complex datasets, and communicate findings effectively within interdisciplinary teams.

What are popular job titles related to Research Assistant Machine Learning jobs in Lubbock, TX?

For Research Assistant Machine Learning jobs in Lubbock, TX, the most frequently searched job titles are:

What job categories do people searching Research Assistant Machine Learning jobs in Lubbock, TX look for?

The top searched job categories for Research Assistant Machine Learning jobs in Lubbock, TX are:

What cities near Lubbock, TX are hiring for Research Assistant Machine Learning jobs?

Cities near Lubbock, TX with the most Research Assistant Machine Learning job openings:

Infographic showing various Research Assistant Machine Learning job openings in Lubbock, TX as of August 2026, with employment types broken down into 50% Full Time, and 50% Part Time. Highlights an 100% In-person job distribution, with an average salary of $39,134 per year, or $18.8 per hour.

Assistant Vice President - Emerging Technologies

The Chronicle Of Higher Education, Inc.

Lubbock, TX • On-site

$169.20 - $270.70/hr

Other

Posted 15 days ago


Job description

Assistant Vice President - Emerging Technologies

Lubbock
44995BR
Information Technology and CIO

Position Description

Performs executive, administrative duties concerning various aspects of operational management in support of the Service Plus philosophy and mission of Texas Tech.

About the University

Founded in 1923, Texas Tech University began with a mission to serve the needs of West Texas, but its impact has always reached far beyond. Today, Texas Tech, located in Lubbock (pop. 300,000+), is home to a vibrant community of more than 42,000 students. Texas Tech's 1,800-acre campus showcases Spanish Renaissance architecture and is home to one of the country's largest public art collections. Its 13 colleges include a prestigious School of Law and a distinguished School of Veterinary Medicine. These programs equip students with the skills and knowledge needed to excel in their respective fields. Built on the values of West Texas - hard work, grit and authenticity - the university graduates students who are deeply engaged in service to their communities and well-positioned to succeed in the world. Texas Tech is committed to achieving research and scholarly accomplishments that compare favorably to the member institutions of the Association of American Universities (AAU). For more than 100 years, Texas Tech has been a premier destination for those seeking a world-class education and a unique, personalized experience as a member of the Red Raider family.

Major/Essential Functions

The Assistant Vice President for Emerging Technologies provides strategic leadership and operational oversight for the university's information technology initiatives in advanced and transformative technologies, including artificial intelligence (AI), quantum computing, and related fields. This role is responsible for building and sustaining cutting-edge research technology infrastructure, enabling faculty and students to leverage emerging technologies in teaching and discovery, and fostering partnerships with industry, government, and community organizations. The Assistant Vice President will serve as a key institutional leader, driving innovation, supporting interdisciplinary collaboration, and enabling the university remains at the forefront of technological advancement, workforce development, and community impact.

  • Strategic Leadership - Formulate and execute a university-wide strategy for emerging technologies, with a focus on AI, quantum technologies, and future computational paradigms.
  • Strategic Leadership - Establish governance frameworks for ethical, secure, and responsible use of emerging technologies. Develop the Emerging Technology organization.
  • Technology Enablement - Lead the design, deployment, and operation of advanced computing infrastructure (e.g., HPC clusters, GPU farms, quantum access platforms, hybrid cloud environments).
  • Technology Enablement - Ensure scalable, secure, and high-performance environments for research and experimentation. Partner with research offices to support grant development, large-scale initiatives, and interdisciplinary programs.
  • Faculty and Academic Support - Enable faculty to integrate emerging technologies into curriculum and pedagogy. Support development of new academic programs, certificates, and experiential learning opportunities in AI and quantum-related fields. Provide technical guidance and resources for faculty-led research and student engagement.
  • Partnerships and External Engagement - Build and maintain strategic partnerships with industry, government agencies, national labs, and startups. Drive collaborative research, workforce development programs, and technology transfer initiatives. Represent the university in regional, national, and global technology dialogs.
  • Workforce Development and Community Impact - Advance programs, in partnership with academic organizations, that prepare students and professionals for careers in emerging technology fields. Promote access to advanced technologies across diverse communities. Support initiatives that apply emerging technologies to address business and societal challenges.
Required Qualifications

Master's degree in computer science, engineering, physics, or a closely related field. Minimum of 10 years of progressive leadership experience in academia, industry, or government in a technology-focused role. Demonstrated experience managing advanced research infrastructure or large-scale technical programs. Proven record of collaboration across disciplines and with external partners. Strong understanding of the research funding landscape and experience supporting or leading grant-funded initiatives. This position is designated as involving access to critical infrastructure systems and/or research, as defined by Texas Executive Order GA-48. As such, candidates must successfully complete a comprehensive background check prior to employment. Employees are required to comply with all applicable state and federal regulations related to the protection of critical infrastructure. Ongoing employment is dependent upon maintaining eligibility for access and successfully passing periodic security and compliance reviews.

Preferred Qualifications
  • PhD in computer science, engineering, physics, or a closely related field.
  • Experience with high-performance computing (HPC), distributed systems, cloud computing (AWS, Azure, GCP), and data infrastructure.
  • Experience leading AI or quantum technology initiatives at a research-intensive institution or major organization.
  • Record of scholarly publications, patents, or significant contributions to emerging technology fields.
  • Experience with technology commercialization, startups, or tech transfer.
  • Familiarity with national or international technology consortia and public-private partnerships.
  • Experience in workforce development, continuing education, or community engagement programs.
  • Knowledge of regulatory and ethical frameworks related to AI and advanced technologies.
Pay Range

$169,200 - $220,000 - $270,700

To apply

To apply, visit workattexastech.com

Equal Opportunity

All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, national origin, age, disability, genetic information or status as a protected veteran.

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