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Machine Learning Quantum Computing Jobs (NOW HIRING)

Quantum Motion

Senior Quantum Engineer

Riverdale Park, MD · On-site

$104K - $144K/yr

Our Team Quantum Motion is a fast-growing quantum computing scale-up headquartered in London, with ... Strong experience with machine learning techniques and their application to complex physical ...

Umd

ARLIS Quantum Research Professional

College Park, MD · On-site

$17.75 - $24.50/hr

... intelligence / machine learning, quantum science, and human-machine teaming. Researchers ... Critically evaluating the utility of emerging quantum computing, sensing, and networking ...

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

As of Sep 13, 2026, the average yearly pay for machine learning quantum computing in the United States is $42,584.00, according to ZipRecruiter salary data. Most workers in this role earn between $32,500.00 and $46,000.00 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.

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Machine Learning Quantum Computing jobs near you
Infographic showing various Machine Learning Quantum Computing job openings in the United States as of September 2026, with employment types broken down into 100% Full Time. Highlights an 50% In-person, and 50% Remote job distribution, with an average salary of $42,584 per year, or $20.5 per hour.

Quantum Frontiers Postdoctoral Scholar in Quantum + AI

University Park, PA • On-site

Penn State University
Colleges, Universities, and Professional Schools • 51 - 200 employees
Learn more about Penn State Universityexternal

Full-time

Medical

Re-posted 21 days ago

Penn State University rating

7.8

Company rating: 7.8 out of 10

Based on 104 frontline employees who took The Breakroom Quiz

Job description

APPLICATION INSTRUCTIONS:
  • CURRENT PENN STATE EMPLOYEE (faculty, staff, technical service, or student), please login to Workday to complete the internal application process. Please do not apply here, apply internally through Workday.
  • CURRENT PENN STATE STUDENT (not employed previously at the university) and seeking employment with Penn State, please login to Workday to complete the student application process. Please do not apply here, apply internally through Workday.
  • If you are NOT a current employee or student, please click "Apply" and complete the application process for external applicants.

Approval of remote and hybrid work is not guaranteed regardless of work location. For additional information on remote work at Penn State, see Notice to Out of State Applicants.
This is a term position; length of the term will be discussed during the interview process. Continuation past the term length discussed will be based on university need, performance, and/or availability of funding.
POSITION SPECIFICS
The College of Information Sciences and Technology (IST) at Penn State invites applications for the position of inaugural Quantum Frontiers Postdoctoral Scholar. Two positions are available this year: one focused on Quantum + Security and the other on Quantum + AI. These are separate searches. This advertisement is for the Quantum + AI position and is intended for applicants whose research advances the development and application of AI methods for quantum computing, as well as the use of quantum-inspired approaches to enhance AI systems.
Artificial intelligence and quantum computing are converging to define the next frontier of scientific discovery, national competitiveness, and economic transformation. Penn State is uniquely positioned-through its breadth of expertise, interdisciplinary institutes, and land-grant mission-to lead at this intersection. To accelerate progress in this emerging area, the Quantum Frontiers Postdoctoral Scholar will serve as a catalyst for high-impact research, cross-disciplinary collaboration, and growth in external funding at the intersection of quantum computing and AI.
We seek candidates who will conduct innovative research at the intersection of quantum computing and artificial intelligence. Areas of interest include, but are not limited to, the following:
  • Quantum Machine Learning and AI: Develop novel quantum algorithms and computational frameworks for machine learning, generative AI, data analytics, and intelligent decision-making, while advancing the theoretical foundations of quantum-enhanced learning systems.
  • Quantum Algorithms for Optimization and Scientific Computing: Design and analyze quantum algorithms for optimization, combinatorial search, differential equations, scientific simulation, and other computational challenges arising in engineering, mathematics, and the physical sciences.
  • AI for Quantum Systems:Apply machine learning and artificial intelligence techniques to improve the characterization, control, calibration, error mitigation, and overall performance of quantum computing systems and quantum devices.
  • AI-Driven Quantum Algorithm and Circuit Design: Develop AI-powered methods for the automated discovery, design, compilation, verification, and optimization of quantum algorithms and quantum circuits, enabling more efficient and scalable quantum software development.
  • Hybrid Quantum-Classical Computing for Scientific Discovery: Create hybrid quantum-classical approaches that combine advances in quantum computing and AI to accelerate scientific discovery and address complex challenges in areas such as materials science, chemistry, biology, healthcare, and other data-intensive scientific domains.

This position aligns strongly with Penn State's growing strengths in AI foundations, AI-enabled scientific discovery, and emerging initiatives in quantum computing. The successful candidate will contribute to the university's efforts to advance AI-powered science and quantum innovation while helping to build new interdisciplinary research collaborations.
The scholar will be based in the College of IST and will have opportunities to collaborate broadly across Penn State, including with the Penn State Quantum Hub (https://quantum.psu.edu/), Penn State AI Hub(https://ai.psu.edu/), Institute for Computational and Data Sciences (https://icds.psu.edu/), and other Penn State interdisciplinary research institutes (https://www.psu.edu/research/interdisciplinary-institutes).These affiliations will provide access to advanced computational infrastructure, world-class interdisciplinary collaborators, and pathways to large-scale external funding opportunities.
Responsibilities
The postdoctoral scholar will be expected to:
  • Conduct original research in quantum machine learning and AI, quantum algorithms for optimization and scientific computing, hybrid quantum-classical computing for scientific discovery, AI for quantum systems, or closely related areas.
  • Collaborate with faculty and researchers across AI, quantum computing, cybersecurity, computer systems, mathematics, engineering, and policy to advance interdisciplinary research initiatives.
  • Contribute to the development of externally funded research programs by participating in proposal preparation and collaborative research efforts for agencies such as the NSF, DOE, DARPA, and other federal and industry sponsors.
  • Develop and help deliver a Quantum + AI course that introduces students to the foundations, methods, applications, and emerging opportunities at the intersection of quantum computing and artificial intelligence.
  • Help enhance the College of IST's visibility, reputation, and research portfolio in Quantum + AI, and engage with Penn State's interdisciplinary research ecosystem, including the Quantum Hub, AI Hub, Institute for Computational and Data Sciences, and other university-wide initiatives focused on AI-powered science and emerging technologies.
  • Disseminate research results through publications in leading conferences and journals, open-source software and tools when appropriate, and presentations to academic, government, and industry audiences.
  • Mentor graduate and undergraduate students and contribute to the development of a vibrant and collaborative research community in quantum computing and AI.

Qualifications
Applicants must have a Ph.D. in computer science, information science, artificial intelligence, electrical and computer engineering, mathematics, physics, or a closely related field by the start date of the appointment. Candidates should have demonstrated research experience in one or more of the research areas described above. Experience with quantum computing software frameworks, programming environments, and quantum hardware platforms is desirable. Applicants should have a strong publication record and demonstrated potential to conduct independent, high-impact research in interdisciplinary and collaborative environments.
Appointment Details
The position is a full-time postdoctoral appointment with an anticipated start date in Fall 2026, although an earlier start date may be possible. Medical insurance and other standard university benefits are provided. The scholar will initially be supervised by the Head of the Department of Informatics and Intelligent Systems (IIS) in the College of IST to support their integration into the department and the broader Penn State research community. Based on research interests and alignment, the scholar will have opportunities to collaborate with and be co-mentored by faculty across Penn State.
Application Materials
Applicants should submit the following materials:
  • A cover letter describing their research interests, qualifications, and fit for the Quantum + AI position.
  • A current curriculum vitae.
  • A research statement (up to two pages) outlining past research accomplishments, current research interests, and future research directions.
  • Up to three representative publications or preprints.
  • Names and contact information for three professional references.

System limitations allow for a total of 5 documents (5mb per document) as part of your application. Please combine materials to meet the 5-document limit.
Review of applications will begin immediately and will continue until the position is filled.
About Penn State
Penn State is a leading public research university with internationally recognized strengths in information sciences and technology, computer science, artificial intelligence, cybersecurity, human-centered computing, and interdisciplinary research. This position will play a key role in advancing Penn State's strategic investment in quantum computing and artificial intelligence, contributing to the University's efforts to establish national leadership in Quantum and AI research, education, and innovation.
BACKGROUND CHECKS/CLEARANCES
Employment with the University will require successful completion of background check(s) in accordance with University policies.
BENEFITS
Penn State provides a competitive benefits package for full-time employees designed to support both personal and professional well-being.
For more detailed information, please visit our Benefits Page. (Note: For Postdoctoral benefits, please see our Postdoctoral Benefits page.)
CAMPUS SECURITY CRIME STATISTICS
Pursuant to the Jeanne Clery Disclosure of Campus Security Policy and Campus Crime Statistics Act and the Pennsylvania Act of 1988, Penn State publishes a combined Annual Security and Annual Fire Safety Report (ASR). The ASR includes crime statistics and institutional policies concerning campus security, such as those concerning alcohol and drug use, crime prevention, the reporting of crimes, sexual assault, and other matters. The ASR is available for review here.
EEO IS THE LAW
Penn State is an equal opportunity employer and is committed to providing employment opportunities to all qualified applicants without regard to race, color, religion, age, sex, sexual orientation, gender identity, national origin, disability or protected veteran status. If you are unable to use our online application process due to an impairment or disability, please contact 814-865-1473.
Penn State is committed to and accountable for advancing equity, respect, and belonging. We embrace individual uniqueness, as well as a culture of belonging that supports equity initiatives, leverages the educational and institutional benefits of inclusion in society, and provides opportunities for engagement intended to help all members of the community thrive. We value belonging as a core strength and an essential element of the university's teaching, research, and service mission.
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