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Quantum Machine Learning Jobs in Houston, TX (NOW HIRING)

Emphasizes geometric interpretation of transformations and connects linear algebra to computer graphics, machine learning, and quantum mechanics applications. * Curriculum Awareness & Adaptive ...

Linear Algebra Tutor

Houston, TX · Remote

$18 - $40/hr

Emphasizes geometric interpretation of transformations and connects linear algebra to computer graphics, machine learning, and quantum mechanics applications. * Curriculum Awareness & Adaptive ...

Linear Algebra Tutor

Pearland, TX · Remote

$18 - $40/hr

Emphasizes geometric interpretation of transformations and connects linear algebra to computer graphics, machine learning, and quantum mechanics applications. * Curriculum Awareness & Adaptive ...

... of Machine Learning foundations : Performance /Accuracy Metrics, Hyper-parameters, Training, Feedback, Inference Experience working on complex cloud-based software projects, web application ...

Quantum Machine Learning information

See Houston, TX salary details

$24.3K

$40.6K

$84K

How much do quantum machine learning jobs pay per year?

As of Jul 25, 2026, the average yearly pay for quantum machine learning in Houston, TX is $40,647.00, 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.

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.
Infographic showing various Quantum Machine Learning job openings in Houston, TX as of July 2026, with employment types broken down into 1% As Needed, 76% Full Time, 21% Part Time, 1% Temporary, and 1% Contract. Highlights an 87% Physical, 3% Hybrid, and 10% Remote job distribution, with an average salary of $40,666 per year, or $19.6 per hour.
Postdoctoral Associate - Advanced Sensemaking

Postdoctoral Associate - Advanced Sensemaking

Rice University

Houston, TX • On-site

Full-time

Posted 24 days ago


Rice University rating

8.2

Company rating: 8.2 out of 10

Based on 18 frontline employees who took The Breakroom Quiz

120th of 560 rated colleges and universities


Job description


Special Instructions to Applicants
All interested applicants should upload a CV or resume the application and a 1-page cover letter outlining their research background, technical expertise, and how their experience aligns with the research project. Please submit both items as PDFs to avoid any formatting issues with the application portal.
About Rice:
Boasting a 300-acre tree-lined campus in Houston, Texas, Rice University is ranked among the nation's top 20 universities by U.S. News & World Report. Rice has a 6-to-1 undergraduate student-to-faculty ratio, and a residential college system, which supports students intellectually, emotionally and culturally through social events, intramural sports, student plays, lectures series, courses and student government. Developing close-knit, diverse college communities is a strong campus tradition, which is why Rice is highly ranked for best quality of life and best value among private universities.
Rice is also a wonderful place to work. Rice faculty, staff and students share values that are essential to our success as a healthy community. Those values guide our decisions and behaviors and shape Rice's culture. They come through in the way we treat each other and the welcome we extend to our visitors. These values can be recalled simply by our name - RICE - Responsibility, Integrity, Community and Excellence.
About the Baker Institute:
Founded in 1993, Rice University's Baker Institute for Public Policy is one of the premier nonpartisan public policy research organizations in the country. As an integral part of Rice University, the Baker Institute has a strong track record of achievement based on the work of its fellows, scholars, and staff. The institute collaborates with experts from academia, government, media, business, and nongovernmental and private organizations.
Position Summary
Rice University's Baker Institute is seeking a Postdoctoral Scholar in Advanced Sensemaking as part of the Center for Advanced Space Sensing Technologies (CASST), a U.S. Space Force-funded Space Strategic Technology Institute led by Rice. CASST supports the development of novel remote sense technologies and advanced sensemaking capabilities to provide real-time information about space environments. The Postdoctoral Scholar will lead the development of artificial intelligence and machine learning (AI/ML) models, datasets, compute workflows, and visualization tools to analyze quantum sensing and hyperspectral imaging data.
The Postdoctoral Scholar will be mentored by Baker Institute Fellow Kenneth Evans and work in close collaboration with CASST faculty from the Rice Space Institute, Weiss School of Natural Sciences, and the George R. Brown School of Engineering, as well as external partners at University of California, Los Angeles, University of California, Santa Barbara, Georgia Institute of Technology, and Aegis Aerospace.
Appointments will be for an initial 3-year appointment structured as a 1-year appointment, followed by two additional 1-year appointments commensurate with adequate performance and programmatic needs.
This position is not eligible for visa sponsorship, candidates must possess work authorization that will not expire or need renewal in the future.
Minimum Requirements
  • Ph.D. or other doctoral degree in computer science, computational physics, electrical engineering, or related fields

Skills
  • Strong analytical, planning, and organizational abilities
  • Ability to work independently with changing levels of oversight
  • Ability to establish and maintain rapport with faculty and staff in an academic and professional setting
  • Ability to work collaboratively with an existing team, managing multiple deadlines, and respond to a high volume of requests, including from CASST faculty and U.S. Space Force technical liaisons

Preferences
  • Research interest and experience in one or more of the following areas is desirable:
    • Reinforcement learning or adaptive decision systems;
    • Computer vision, remote sensing, or geospatial analytics;
    • GPU or high-performance computing workflows;
    • Deployment of AI systems in resource-constrained environments; and
    • Hyperspectral imaging and quantum sensing.
  • Previous experience collaborating with engineering or operational research teams
  • Demonstrated ability to write, publish, and communicate research, including proposal development and presentations at professional conferences

Essential Functions
  • Research and build AI/ML models to support CASST sensemaking objectives
  • Develop and manage datasets, compute workflows, and visualization tools that integrate results from quantum sensing, hyperspectral imaging, and compressive imaging research teams
  • Contribute to technical reporting, program documentation, and research presentations
  • Support the mentoring and training of junior research team members, including graduate and undergraduate students

Additional Functions / Information
  • Performs all other duties as assigned

Rice University HR | Benefits: https://knowledgecafe.rice.edu/benefits-overview
Rice Mission and Values: Mission and Values | Rice University
Rice University is committed to ensuring Equal Employment Opportunity and welcoming the fullness of diversity into our candidate pools. Rice considers qualified applicants for employment without regard to race, color, religion, age, sex, sexual orientation, gender identity, national or ethnic origin, genetic information, disability, or protected veteran status. Rice also provides reasonable accommodations to qualified persons with disabilities. If an applicant requires a reasonable accommodation for any part of the application or hiring process, please get in touch with Rice University's Human Resources Office via email at facstaffada@rice.edu for support.
If you have any additional questions, please email us at jobs@rice.edu. Thank you for your interest in employment with Rice University.
About Us
Boasting a 300-acre tree-lined campus in Houston, Rice University is ranked among the nation's top 20 universities by U.S. News & World Report. Rice has a 6-to-1 undergraduate student-to-faculty ratio, and a residential college system, which supports students intellectually, emotionally and culturally through social events, intramural sports, student plays, lectures series, courses and student government. Developing close-knit, diverse college communities is a strong campus tradition, which is why Rice is highly ranked for best quality of life and best value among private universities.

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