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Quantum Machine Learning Jobs in Chicago, IL (NOW HIRING)

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Quantum Machine Learning information

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$25.5K

$42.6K

$87.9K

How much do quantum machine learning jobs pay per year?

As of Aug 14, 2026, the average yearly pay for quantum machine learning in Chicago, IL is $42,555.00, 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.

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 technology advances, demand for experts in quantum algorithms and data analysis is expected to increase, making it a promising but highly specialized career path.

What are the key skills and qualifications needed to thrive in quantum machine learning?

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 does a quantum machine learning professional do?

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 a quantum machine learning?

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.

What are popular job titles related to Quantum Machine Learning jobs in Chicago, IL?

For Quantum Machine Learning jobs in Chicago, IL, the most frequently searched job titles are:

What job categories do people searching Quantum Machine Learning jobs in Chicago, IL look for?

The top searched job categories for Quantum Machine Learning jobs in Chicago, IL are:

Quantum Machine Learning jobs near you
Infographic showing various Quantum Machine Learning job openings in Chicago, IL as of August 2026, with employment types broken down into 1% As Needed, 75% Full Time, 21% Part Time, 1% Temporary, and 2% Contract. Highlights an 89% Physical, 2% Hybrid, and 9% Remote job distribution, with an average salary of $42,555 per year, or $20.5 per hour.

Assistant Beamline Scientist - CNM-APS Hard X-Ray Nanoprobe

Argonne National Laboratory

Lemont, IL

$94K - $147K/yr

Full-time

Re-posted 13 days ago

Job description

The Center for Nanoscale Materials (CNM) at Argonne National Laboratory invites applications for an Assistant Scientist position focused on transformational research enabled by the development and application of advanced synchrotron X-ray microscopy capabilities. This role will take particular advantage of new opportunities created by the Advanced Photon Source Upgrade and the CNM Hard X-ray Nanoprobe Beamline (CNM/APS HXN).

CNM is a U.S. Department of Energy Office of Science User Facility that provides researchers from around the world with state-of-the-art instrumentation, technical expertise, and collaborative opportunities in multidisciplinary nanoscience and nanotechnology. Our research environment is designed to support cutting-edge science by both staff and the global user community.

This position offers an exciting opportunity for a scientist who is eager to build an innovative research program while also contributing to the scientific and technical leadership of a premier user facility.

The successful candidate will contribute in two areas of equal importance:

1. Develop a leading research program

The candidate will establish and grow a world-class research program that leverages the unique capabilities of the Advanced Photon Source Upgrade and the CNM/APS HXN beamline. Research should align with CNM's strategic scientific directions, particularly in the study of nanoscale interfacial phenomena and dynamic processes in materials and devices.

  • Nanoscale structure-property relationships and dynamic processes in energy materials, quantum materials, microelectronics, and 2D materials

  • Operando and in situ studies of materials evolution under external stimuli

  • Coherent imaging and ptychography of functional nanomaterials

  • AI/ML-enabled autonomous experimentation and advanced data analysis

2. Provide leadership for beamline science and user operations

The candidate will also provide scientific and technical leadership for user experiments and operations at the CNM/APS HXN beamline. This includes working closely with a diverse international user community to support high-impact experiments and to advance the instrumentation, methods, and analysis tools that expand the facility's scientific reach and impact.

Key Responsibilities

  • Develop and lead an independent, high-impact research program in synchrotron X-ray microscopy and related nanoscale characterization methods

  • Leverage the capabilities of the APS Upgrade and CNM/APS HXN beamline to pursue innovative scientific opportunities

  • Conduct research aligned with CNM strategic priorities in nanoscale materials and device science

  • Support and guide user experiments at the beamline, helping enable successful and cutting-edge research outcomes

  • Advance beamline capabilities through new instrumentation, experimental methods, and analytical approaches

  • Collaborate with staff, users, and external partners across a broad range of disciplines

  • Contribute to the growth and scientific vitality of the CNM user program

Position Requirements

  • A Ph.D. in physics, materials science, chemistry, engineering, or a related physical science discipline

  • A strong background in experimental or analytical synchrotron X-ray research and/or other advanced microscopy techniques relevant to materials research

  • Ability to model Argonne's core values of impact, safety, respect, integrity, and teamwork

Preferred Qualifications

  • Laser or electrical pump-probe methods

  • Coherent diffraction imaging and phase retrieval

  • Artificial intelligence and machine learning for experimentation or data analysis

Application Materials

  • A cover letter describing how their experience and expertise would contribute to success in this role

  • A detailed curriculum vitae, including:

    • a list of publications

    • the names and addresses of three professional references

  • A 2-page statement of proposed research

  • A 1-page statement outlining an approach to engaging and growing the scientific user program

RD2: Bachelors and 5+ years of experience, Masters and 3+ years, or PhD and 0+ years, or equivalent

Job Family

Research Development (RD)

Job Profile

Materials/Ceramics/Metallurgical 2

Worker Type

Regular

Time Type

Full timeThe expected hiring range for this position is $94,486.00 - $147,398.94.

Please note that the pay range information is a general guideline only. The pay offered to a selected candidate will be determined based on factors such as, but not limited to, the scope and responsibilities of the position, the qualifications of the selected candidate, business considerations, internal equity, and external market pay for comparable jobs. Additionally, comprehensive benefits are part of the total rewards package.

Click here to view Argonne employee benefits!

As an equal employment opportunity employer, and in accordance with our core values of impact, safety, respect, integrity and teamwork, Argonne National Laboratory is committed to a safe and welcoming workplace that fosters collaborative scientific discovery and innovation. Argonne encourages everyone to apply for employment. Argonne is committed to nondiscrimination and considers all qualified applicants for employment without regard to any characteristic protected by law.

Argonne employees, and certain guest researchers and contractors, are subject to particular restrictions related to participation in Foreign Government Sponsored or Affiliated Activities, as defined and detailed in United States Department of Energy Order 486.1A. You will be asked to disclose any such participation in the application phase for review by Argonne's Legal Department.

All Argonne offers of employment are contingent upon a background check that includes an assessment of criminal conviction history conducted on an individualized and case-by-case basis. Please be advised that Argonne positions require upon hire (or may require in the future) for the individual be to obtain a government access authorization that involves additional background check requirements. Failure to obtain or maintain such government access authorization could result in the withdrawal of a job offer or future termination of employment.

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