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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 14, 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 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 such as TensorFlow or PyTorch. They are found across industries including technology, finance, healthcare, and automotive sectors.

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.

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.

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 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, 72% Full Time, 24% Part Time, 1% Temporary, and 2% Contract. Highlights an 87% Physical, 2% Hybrid, and 11% Remote job distribution, with an average salary of $50,914 per year, or $24.5 per hour.

Associate to Full Professor, Tenured, Computational Materials Science, Department of Physics and Ast

Baylor University

Waco, TX • On-site

Full-time

Re-posted 14 days ago


Baylor University rating

7.7

Company rating: 7.7 out of 10

Based on 18 frontline employees who took The Breakroom Quiz

260th of 618 rated colleges and universities


Job description

Description
The Department of Physics and Astronomy in the College of Arts & Sciences at Baylor University invites applications for a tenured faculty position at the rank of Associate or Full Professor, effective Fall 2027. We seek an established, internationally recognized leader in computational materials science whose research integrates first-principles methods with modern informatics, artificial intelligence, and machine learning to predict, design, and understand the electronic, magnetic, optical, and topological properties of next-generation quantum materials. This position is part of a strategic cluster hire in "Novel Quantum Materials for Next-generation Electronics, Spintronics, and Optoelectronics", aligned with Baylor's Baylor in Deeds strategic plan (2024-2030), particularly its commitment to Broadening Interdisciplinary Research and Impact, and responsive to federal priorities established by the National Quantum Initiative Act and the CHIPS and Science Act. The successful candidate will help support Baylor's growing Materials Science capabilities spanning materials synthesis, advanced spectroscopic and magnetic characterization, and high-performance computation, with strong collaborative ties to faculty in Physics & Astronomy, Chemistry & Biochemistry, and the School of Engineering & Computer Science.
Position Responsibilities
We expect the successful candidate to:
• Lead an externally funded, internationally visible research program in computational/theoretical quantum materials, leveraging informatics-driven approaches (machine learning, high-throughput ab initio, data-driven discovery) alongside advanced computational methods (e.g., DFT+DMFT, GW, quantum embedding, Green's function approaches, etc.).
• Mentor graduate students and postdoctoral researchers and contribute to vibrant Ph.D. programs in Physics and Materials Science.
• Teach undergraduate and graduate courses in physics, including specialized offerings in condensed matter theory, computational physics, or quantum information science.
• Provide intellectual leadership for collaborative, multi-investigator proposals to agencies including NSF, DOE, and DoD (ARO, AFOSR, ONR, DARPA), and help shape the strategic direction of quantum materials science at Baylor.
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 fauclty 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 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:
• Ph.D. in Physics, Applied Physics, Materials Science, or a closely related field.
• A strong record of scholarly accomplishment commensurate with appointment at the tenured Associate or Full Professor rank, including a sustained history of peer-reviewed publications in high-impact journals, and external research funding.
• Demonstrated expertise in computational or theoretical methods applied to quantum materials - for example, electronic structure theory, strongly correlated electron systems, topological matter, or quantum transport - combined with experience deploying AI/ML or related informatics methods for materials prediction, design, or analysis.
• Evidence of effective teaching, mentoring, and a commitment to collegial, interdisciplinary collaboration.
Application Instructions
Applicants should submit through Interfolio: (1) a cover letter, (2) curriculum vitae, (3) a research statement describing prior accomplishments and future plans, (4) a teaching statement, (5) a copy of the official transcript from the highest-degree granting institution (if the doctorate is in progress, a copy of the official transcript of completed doctoral hours should be submitted), and (6) the names and contact information of four professional references. All applicants must complete the self-disclosed Religious Affiliation Form in Interfolio.
All materials must be received by 11 PM Central Daylight Time on 09/15/26. Questions concerning the position should be directed to Search Committee Chair Dr. Garritt Tucker at Garritt_Tucker@baylor.edu.

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