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Machine Learning Quantum Computing Jobs in Houston, TX

AI/ML Engineer (Eng - Senior) Cementing

Houston, TX ยท On-site +1

$90K - $123K/yr

Develop, train, evaluate, and deploy machine learning and AI models supporting engineering and ... Familiarity with cloud computing platforms, MLOps, model deployment, or containerized applications.

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Machine Learning Quantum Computing information

See Houston, TX salary details

$24.4K

$40.7K

$84K

How much do machine learning quantum computing jobs pay per year?

As of Aug 26, 2026, the average yearly pay for machine learning quantum computing in Houston, TX is $40,666.00, according to ZipRecruiter salary data. Most workers in this role earn between $31,000.00 and $43,900.00 per year, depending on experience, location, and employer.

What is machine learning quantum computing?

Machine Learning Quantum Computing is an interdisciplinary field that combines principles of quantum computing with machine learning techniques. It aims to leverage the computational power of quantum computers to enhance the performance of machine learning algorithms, potentially solving complex problems more efficiently than classical computers. This area includes developing quantum algorithms for tasks such as classification, clustering, and optimization, as well as using machine learning to improve quantum hardware and error correction. Researchers expect that, as quantum hardware matures, this field could revolutionize data analysis, cryptography, and scientific discovery.

What are the key skills and qualifications needed to thrive as a machine learning quantum computing specialist?

To thrive in Machine Learning Quantum Computing, you need strong foundations in quantum mechanics, linear algebra, and advanced machine learning concepts, typically supported by a degree in physics, computer science, or a related field. Familiarity with quantum programming languages (such as Qiskit or Cirq), cloud-based quantum platforms, and proficiency in Python are usually required, alongside experience with relevant certifications or coursework. Strong problem-solving skills, adaptability, and effective collaboration are vital soft skills in this interdisciplinary field. These competencies are crucial for driving innovation and bridging the gap between quantum computing and practical machine learning applications.

How do professionals in machine learning quantum computing typically collaborate with interdisciplinary teams?

Professionals in Machine Learning Quantum Computing often work closely with experts in physics, computer science, and engineering. Collaboration usually involves translating quantum concepts for machine learning specialists and vice versa, ensuring that algorithms are both theoretically sound and practically implementable on quantum hardware. Regular meetings, code reviews, and knowledge-sharing sessions are standard, as interdisciplinary insight is crucial for advancing research and developing scalable solutions. Effective communication and a willingness to learn from other domains are essential for success in these teams.

What is the difference between Machine Learning Quantum Computing vs Data Scientist?

AspectMachine Learning Quantum ComputingData Scientist
Required CredentialsAdvanced degrees in quantum computing, machine learning, or related fieldsDegree in data science, statistics, or computer science
Work EnvironmentResearch labs, tech companies focusing on quantum tech, academiaBusiness environments, tech companies, consulting firms
Industry UsageEmerging quantum tech industry, research institutionsFinance, healthcare, marketing, e-commerce
Common Search/ComparisonQuantum algorithms, quantum machine learningData analysis, predictive modeling

Machine Learning Quantum Computing specialists focus on developing algorithms that leverage quantum mechanics to enhance machine learning tasks, often requiring advanced knowledge of quantum physics. Data Scientists analyze and interpret large datasets using traditional machine learning techniques. While both roles involve machine learning, the former emphasizes quantum computing applications, whereas the latter centers on data analysis in conventional computing environments.

What are popular job titles related to Machine Learning Quantum Computing jobs in Houston, TX?

For Machine Learning Quantum Computing jobs in Houston, TX, the most frequently searched job titles are:

What job categories do people searching Machine Learning Quantum Computing jobs in Houston, TX look for?

The top searched job categories for Machine Learning Quantum Computing jobs in Houston, TX are:

Associate Vice President of Research Computing

Houston, TX โ€ข On-site

The Chronicle Of Higher Education, Inc.
Newspaper Publishersย โ€ขย 201 - 500 employees

$180 - $260/hr

Other

Posted 10 days ago


Job description

Rice University, one of the nationโ€™s elite universities for scholarly research and societal impact, seeks a dynamic leader to serve as the institutionโ€™s Associate Vice President of Research Computing (AVP). This is an exciting time to join Rice and make a significant impact in supporting a growing research enterprise. The AVP will report to the Vice President & Chief Information Officer and will play an integral role within Technology Solutions & Services (TS&S) at Rice. The AVP partners closely with stakeholders across Rice University to understand the evolving computational needs of the research community and develop sustainable solutions that leverage on-campus infrastructure, cloud technologies, advanced storage, and emerging computing resources. This leader will collaborate across the enterprise to establish investment priorities while strengthening relationships with regional and national supercomputing organizations to expand access to advanced research resources.

In support of the Universityโ€™s research mission, the AVP works across campus to assist in securing internal and external funding opportunities, engage faculty in the effective use of research computing resources, and enhance Riceโ€™s ability to recruit and retain research-active scholars. The role also focuses on broadening access to advanced computing capabilities through outreach, reducing barriers, and aligning workforce and user engagement strategies with institutional objectives. Additionally, the AVP helps position Rice at the forefront of emerging technologies by fostering partnerships with industry leaders in areas such as artificial intelligence, machine learning, quantum computing, data storage, and advanced applications.

Operationally, the AVP is responsible for developing effective service models, facilities, and capabilities that support the University's research enterprise. The role provides strategic leadership and oversight for the Center for Research Computing, ensuring efficient operations, effective communication with the Research Computing Committee, and strong alignment with partner organizations across the technology enterprise, including information security functions. Through these efforts, the AVP ensures that research computing services remain responsive, innovative, and aligned with the University's strategic objectives.

The ideal candidate will have deep experience leading research computing, a proven track record of collaboration and faculty partnerships, and the ability to be an effective and persuasive leader. The successful AVP candidate will serve as a strong strategic partner with research faculty and will continue to develop and shape a compelling, integrated service offering for the research community. The AVP will be a visible leader who communicates effectively and can develop, articulate, and execute the future vision for research computing.

Rice University is an Equal Opportunity Employer with a commitment to diversity at all levels, and considers for employment qualified applicants without regard to race, color, religion, age, sex, sexual orientation, gender identity, national or ethnic origin, genetic information, disability or protected veteran status.

Rice University is committed to ensuring Equal Employment Opportunity and the full inclusion of all qualified persons in the workplace. This commitment includes providing reasonable accommodations to persons with disabilities. For applicants with disabilities who require a reasonable accommodation for any part of the application or hiring process, please contact Rice Universityโ€™s Disability Resource Center at 713-348-5841 or adarice@rice.edu for support.

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