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Artificial Intelligence And Machine Learning Jobs in Temple, TX

... Artificial Intelligence (AI) across the organization. This on-site role, based daily at our Waco ... Demonstrated experience leading or managing AI, machine learning, analytics, or automation ...

Strategy) to lead the responsible adoption and optimization of Artificial Intelligence (AI) across ... Demonstrated experience leading or managing AI, machine learning, analytics, or automation ...

Please note that Meta may leverage artificial intelligence and machine learning technologies in connection with applications for employment. Meta is committed to providing reasonable accommodations ...

Please note that Meta may leverage artificial intelligence and machine learning technologies in connection with applications for employment. Meta is committed to providing reasonable accommodations ...

Please note that Meta may leverage artificial intelligence and machine learning technologies in connection with applications for employment. Meta is committed to providing reasonable accommodations ...

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Artificial Intelligence And Machine Learning information

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How much do artificial intelligence and machine learning jobs pay per hour?

As of Aug 23, 2026, the average hourly pay for artificial intelligence and machine learning in Temple, TX is $24.48, according to ZipRecruiter salary data. Most workers in this role earn between $19.86 and $25.91 per hour, depending on experience, location, and employer.

What is artificial intelligence and machine learning?

Artificial Intelligence (AI) refers to the development of computer systems that can perform tasks typically requiring human intelligence, such as reasoning, problem-solving, and understanding language. Machine Learning (ML) is a subset of AI that focuses on creating algorithms and statistical models that enable computers to learn from data and improve their performance over time without being explicitly programmed. Together, AI and ML are used in a wide range of applications, from virtual assistants and recommendation systems to autonomous vehicles and medical diagnosis. These technologies are rapidly evolving and have a significant impact across many industries.

What are the key skills and qualifications needed to thrive as an artificial intelligence and machine learning engineer?

To thrive as an AI/ML Engineer, you need strong skills in mathematics, statistics, programming (Python, R), and a solid understanding of machine learning algorithms, typically supported by a degree in computer science or a related field. Familiarity with frameworks such as TensorFlow, PyTorch, and tools like scikit-learn, as well as experience with cloud platforms and relevant certifications, is highly valuable. Critical thinking, creativity, and effective communication help in solving complex problems and collaborating across interdisciplinary teams. These skills are crucial for developing robust AI solutions that drive innovation and deliver tangible business value.

What are some common challenges faced by professionals working in artificial intelligence and machine learning roles?

Professionals in AI and Machine Learning often encounter challenges such as managing large datasets, ensuring data quality, and selecting the most appropriate algorithms for specific problems. Additionally, they must stay up-to-date with rapidly evolving technologies and frameworks, which requires continuous learning. Collaborating with cross-functional teams, such as data engineers and domain experts, is vital for translating business needs into effective AI solutions. Balancing project deadlines with the experimentation and iteration needed for model development can also be demanding.

Is artificial intelligence and machine learning a good career?

Artificial Intelligence and Machine Learning are rapidly growing fields with high demand for skilled professionals, offering competitive salaries and diverse opportunities across industries. Success typically requires strong programming skills, knowledge of algorithms, and experience with tools like Python and TensorFlow. It is considered a promising career path for those interested in technology and data analysis.

What jobs can I get with artificial intelligence and machine learning?

Jobs in artificial intelligence and machine learning include roles such as AI engineer, machine learning engineer, data scientist, research scientist, and AI software developer. These positions typically require skills in programming languages like Python or R, knowledge of algorithms, and experience with tools like TensorFlow or PyTorch. They are found across industries including technology, healthcare, finance, and automotive sectors.

What are popular job titles related to Artificial Intelligence And Machine Learning jobs in Temple, TX?

For Artificial Intelligence And Machine Learning jobs in Temple, TX, the most frequently searched job titles are:

What cities near Temple, TX are hiring for Artificial Intelligence And Machine Learning jobs?

Cities near Temple, TX with the most Artificial Intelligence And Machine Learning job openings:

Infographic showing various Artificial Intelligence And Machine Learning job openings in Temple, TX as of August 2026, with employment types broken down into 1% As Needed, 69% Full Time, 28% Part Time, 1% Temporary, and 1% Contract. Highlights an 86% Physical, 2% Hybrid, and 12% Remote job distribution, with an average salary of $50,914 per year, or $24.5 per hour.

Assistant or Associate Professor, Tenure Track or Tenured, Computer Science - Artificial Intelligenc

Baylor University

Waco, TX • On-site

Full-time

Posted 3 days ago

New


Baylor University rating

7.7

Company rating: 7.7 out of 10

Based on 18 frontline employees who took The Breakroom Quiz

263rd of 622 rated colleges and universities


Job description

Description
The Department of Computer Science at Baylor University seeks qualified candidates for two tenure-track or tenured positions with the rank of Assistant or Associate Professor in Artificial Intelligence (AI). This position will begin in August 2027. Successful candidates must have a Ph.D. in Computer Science or a closely related discipline. We seek exceptional candidates in broad areas of artificial intelligence, data science, software engineering, and machine learning. Successful candidates will have a commitment to excellence in teaching, exhibit the potential to support an independent research agenda, and have effective communication and organization skills.
The selected candidate will be expected to initiate and conduct research as well as perform academic duties associated with our undergraduate and graduate programs. The primary responsibilities are teaching courses, developing an externally funded research program, and leading graduate and undergraduate students in research. Active participation in departmental service is also expected.
Baylor's ABET-accredited Computer Science Department currently has twelve tenured/tenure-track faculty, including the McCollum Family Chair of Data Science, and seven lecturer faculty members. The faculty are internationally recognized in research areas including data science, bioinformatics, machine learning, cybersecurity, computer vision, and computer systems. The department is housed within the Hankamer Building and the Baylor Research and Innovation Collaborative (BRIC; see https://bric.research.baylor.edu/). The department offers BS, MS, and PhD degrees in Computer Science. It also offers the BSI degree with majors in Bioinformatics, Data Science, and Cybersecurity. Additional information regarding the department, including its mission, is available at https://www.ecs.baylor.edu/research-departments/computer-science.
Candidates who are outside of the United States and do not have other nonimmigrant visa status will not be sponsored for an H-1B petition.
About Baylor University: Baylor University is located in Waco, Texas and is the oldest college in the state. It has a diverse student population of 21,000 and is recognized as an R1 institution by the Carnegie Classification. Baylor is also noted on the honor roll of "Great Colleges to Work For" by ModernThink. We offer competitive salaries and benefits, allowing faculty and staff to live in one of the fastest-growing parts of the state. As a Christian university with historic Baptist roots and as reflected in the Notice of Non-Discrimination, Baylor strives to be a place characterized by civility and respect. We believe each student, faculty, staff, and administrator is made in the image of God. Baylor's new strategic plan, Baylor in Deeds, guides the University as it continues to fulfill its mission of educating men and women for worldwide leadership and service by integrating academic excellence and Christian commitment within a caring community.
Qualifications
Required qualifications:
  • A Ph.D. in Computer Science, or a closely related field is required.
  • A commitment to teaching excellence in areas relevant to the position and, for candidates with prior teaching experience, a record of successful teaching
  • A demonstrated research achievement and publication record commensurate with appointment at the rank of Assistant or Associate Professor
  • Outstanding communication skills

Preferred qualifications:
  • Special consideration will be given to candidates who have demonstrated strong scholarship and have an established and active independent research agenda in artificial intelligence or closely related areas.
  • To exhibit a passion for teaching and mentoring at the graduate and undergraduate levels.
  • Qualities of a successful candidate for a senior position include leadership experience.

Application Instructions
Please provide the following documents through Interfolio:
  • Cover letter, which includes the applicant's anticipated rank
  • CV (Curriculum Vitae)
  • Statement of research interests
  • Statement of teaching interests related to Baylor's programs
  • Contact information for at least three professional references
  • Academic transcript of highest degree earned (Unofficial is accepted)
  • Religious Affiliation Form (found in Interfolio)

The following documents are optional:
  • Publications

Review of applicants will begin on October 15, 2026 and will continue until the position is filled. Nothing received after December 31, 2026 can be considered.
All applicants will also complete the self-disclosed Religious Affiliation Form (RAF) in Interfolio.

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