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Quantum Machine Learning Jobs in Louisiana (NOW HIRING)

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Quantum Machine Learning information

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$21.8K

$36.4K

$75.3K

How much do quantum machine learning jobs pay per year?

As of Jul 26, 2026, the average yearly pay for quantum machine learning in Louisiana is $36,414.00, according to ZipRecruiter salary data. Most workers in this role earn between $27,800.00 and $39,300.00 per year, depending on experience, location, and employer.

Is quantum machine learning a good career?

Quantum machine learning is an emerging field combining quantum computing and machine learning, with growing research and industry interest. Careers in this area typically require strong backgrounds in quantum physics, computer science, and programming skills, often involving specialized tools like quantum algorithms and hardware. As the field develops, demand for experts is expected to increase, making it a promising career path for those with relevant expertise.

Which 3 jobs will survive AI?

Quantum machine learning professionals, data scientists, and software engineers are likely to continue thriving as AI advances, due to their specialized skills in developing, understanding, and managing complex algorithms and quantum computing tools. These roles require critical thinking, domain expertise, and adaptability to evolving technologies, making them less susceptible to automation. Continuous learning and certification in AI and quantum technologies can further enhance job security in these fields.

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

To thrive in Quantum Machine Learning, you need a solid background in quantum physics, machine learning, linear algebra, and programming—often supported by a graduate degree in a related field. Familiarity with quantum computing frameworks such as Qiskit or Cirq, and experience with conventional ML libraries like TensorFlow or PyTorch are typically expected. Strong problem-solving abilities, effective communication, and a collaborative mindset help professionals stand out. Mastery of these skills and qualities is essential for tackling complex interdisciplinary challenges and driving innovation in this rapidly evolving field.

What types of projects or problems does a Quantum Machine Learning professional typically work on?

Quantum Machine Learning professionals often work on exploratory projects at the intersection of quantum computing and artificial intelligence, such as developing new algorithms that leverage quantum hardware for faster data processing or optimizing classical ML models using quantum techniques. Daily tasks may include designing experiments, simulating quantum systems, analyzing results, and collaborating with physicists and software engineers. The work can range from foundational research to applied development, depending on the organization's focus. These roles frequently involve teamwork and staying updated on emerging academic and industry advances to ensure innovative problem-solving approaches.

What is the salary of quantum machine learning?

Salaries for quantum machine learning professionals vary based on experience, education, and location, but typically range from $80,000 to over $150,000 annually. Entry-level roles may start lower, while experienced researchers or specialists with advanced skills in quantum computing and machine learning can earn higher salaries. Many positions also offer benefits such as research funding and access to cutting-edge technology.

What is a Quantum Machine Learning job?

A Quantum Machine Learning (QML) job involves applying principles of quantum computing to machine learning tasks. Professionals in this field develop algorithms that leverage quantum systems to improve computational efficiency and solve complex problems faster than classical methods. Responsibilities often include researching quantum algorithms, implementing quantum circuits, and working with tools like Qiskit or TensorFlow Quantum. These roles are typically found in research labs, tech companies, and startups exploring the intersection of AI and quantum technology. Strong backgrounds in quantum mechanics, linear algebra, and computer science are essential.

Is Q-Ctrl a real company?

Q-Ctrl is a real company that specializes in quantum control solutions and software for quantum computing. It provides tools and expertise to help improve qubit performance and error correction in quantum systems, which can be relevant for professionals in quantum machine learning roles.
What are popular job titles related to Quantum Machine Learning jobs in Louisiana? For Quantum Machine Learning jobs in Louisiana, the most frequently searched job titles are:
What job categories do people searching Quantum Machine Learning jobs in Louisiana look for? The top searched job categories for Quantum Machine Learning jobs in Louisiana are:
Quantum Machine Learning jobs near you
Infographic showing various Quantum Machine Learning job openings in Louisiana as of July 2026, with employment types broken down into 1% As Needed, 75% Full Time, 21% Part Time, 1% Temporary, and 2% Contract. Highlights an 88% Physical, 1% Hybrid, and 11% Remote job distribution, with an average salary of $36,414 per year, or $17.5 per hour.
Assistant Professor, Computer Science

Assistant Professor, Computer Science

Louisiana Tech University

Ruston, LA • On-site

Full-time

Posted 8 days ago

Louisiana Tech University rating

6.7

Company rating: 6.7 out of 10

Based on 11 frontline employees who took The Breakroom Quiz

482nd of 611 rated colleges and universities

Job description

Thank you for your interest in employment with Louisiana Tech University.

The College of Engineering and Science (COES) at Louisiana Tech University invites applications for a tenure-track faculty position in the Computer Science program. We seek highly qualified, research-active scholars specializing in cybersecurity and cyber operations. Candidates with expertise combining cybersecurity with artificial intelligence, machine learning, quantum computing, robotics, smart health, the Internet of Things (IoT), and cyber-physical systems are encouraged to apply.

Louisiana Tech University, recognized as a national university by the 2024 U.S. News & World Report, is designated as a Center of Academic Excellence in Cybersecurity for Cyber Defense (CAE-CD) and Cyber Research (CAE-R). The College of Engineering and Science is deeply committed to advancing cybersecurity research and education, addressing critical challenges such as cyber resilience, critical infrastructure protection, and emerging cyber threats. Faculty research efforts are supported by specialized research centers, including the Cybersecurity Applied Innovation Laboratory (CyAIL) and the Center for Secure Cyberspace (CSC), which facilitate collaborative research and provide opportunities for securing external research funding.

The College is experiencing significant growth, with nearly 3,000 students, including approximately 130 doctoral students among 300 graduate students. Annual research expenditures within the College have averaged $16 million over the past five years. The Computer Science program serves approximately 550 undergraduate majors and is the second-largest degree granting program at the university. Louisiana Tech offers multiple computing-oriented degree programs that support cybersecurity research and education, including the B.S. and M.S. in Computer Science, B.S. in Cyber Engineering, Ph.D. in Computational Analysis and Modeling (CAM), and Ph.D. in Engineering with a concentration in Cyberspace.

With the increasing frequency, sophistication, and impact of cyber threats, there is a pressing need for cutting-edge research and innovative educational programs in cybersecurity. Louisiana Tech is committed to strengthening its research and teaching capabilities in areas such as cyber threat intelligence and mitigation, reverse engineering and digital forensics, cyber operations and resilience, cryptography and secure communication, AI and machine learning for cybersecurity, cyber-physical systems and IoT security, and quantum computing and post-quantum cryptography. Candidates whose research addresses interdisciplinary cybersecurity challenges or integrates emerging technologies with security applications are particularly encouraged to apply.

Successful candidates must hold a Ph.D. in Computer Science or a closely related field and demonstrate a strong record of scholarly achievement, including peer-reviewed publications and the potential to establish a robust, externally funded research program. Candidates should exhibit a commitment to excellence in teaching, with the ability to develop and deliver cybersecurity-focused curricula at both the undergraduate and graduate levels. They should also have a proven ability to mentor and advise students, along with strong written and oral communication skills. Faculty members are expected to conduct high-impact research, publish in leading academic venues, secure extramural research funding, develop and teach cybersecurity-related courses, engage in interdisciplinary collaborations, and contribute to the university's broader mission through service and leadership.

Applicants should submit a single PDF document containing a cover letter, detailed curriculum vitae, research statement, teaching statement, and full contact information for at least four references. Applications will be reviewed immediately and will continue until suitable candidates are identified. The anticipated start date for the position is September 1, 2025.

Louisiana Tech is an Equal Opportunity/Affirmative Action/ADA Employer and places a high priority on the creation of an environment supportive of ethnic minorities, women, veterans, and persons with disabilities.

Posting Close Date: This position will remain open until filled.

Please Note: Applications must be completed by 11:59 p.m. on the Job Closing Date to ensure consideration.

Note to Applicant:

Applicants should fully describe their qualifications and experience with specific reference to each of the minimum and preferred qualifications in their cover letter. The search committee will use this information during the initial review of application materials.

References will be contacted at the appropriate phase of the recruitment process.

This position may require a criminal background check to be conducted on the candidate(s) selected for hire.

As part of the hiring process, applicants for positions at the Louisiana Tech University may be required to demonstrate the ability to perform job-related tasks.

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