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

IBM

Research Scientist

Chicago, IL · On-site

Improve upon and develop novel quantum machine learning methods that combine quantum and classical resources for learning tasks on classical and quantum data. * Develop hybrid workflows that combine ...

IBM

Research Scientist

Chicago, IL · On-site

Improve upon and develop novel quantum machine learning methods that combine quantum and classical resources for learning tasks on classical and quantum data. * Develop hybrid workflows that combine ...

Allstate

Quantum Algorithm Developer Expert

Chicago, IL · On-site

$19.50 - $25.50/hr

... Machine Learning (ML), Quantum Computing, Quantum Hardware, Researching Compensation Compensation offered for this role is 151,700.00 - 221,675.00 annually and is based on experience and ...

AbbVie

Director, Computational Sciences

North Chicago, IL · On-site

$182K/yr

The team develops hierarchical modeling approaches that integrate physics-based atomistic methods, including molecular dynamics and quantum mechanics, with machine learning, artificial intelligence ...

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All JobsQuantum Machine Learning JobsQuantum Machine Learning Jobs in Chicago, IL

Quantum Machine Learning information

See Chicago, IL salary details

$26.3K

$43.9K

$90.7K

How much do quantum machine learning jobs pay per year?

As of Sep 3, 2026, the average yearly pay for quantum machine learning in Chicago, IL is $43,867.00, according to ZipRecruiter salary data. Most workers in this role earn between $33,500.00 and $47,400.00 per year, depending on experience, location, and employer.

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 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 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.

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.

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, 76% Full Time, 22% Part Time, and 1% Contract. Highlights an 88% Physical, 2% Hybrid, and 10% Remote job distribution, with an average salary of $43,867 per year, or $21.1 per hour.

Quantum Computing Lab Intern

Quantum Machines

Chicago, IL • On-site

Part-time

Re-posted 5 days ago

Job description

Description
Join the Team Building Chicago's Next-Generation Quantum Testbed
The IQCC is a world-class quantum facility, providing state-of-the-art infrastructure to support quantum computing research and development for both academia and industry. The IQCC is managed and operated by Quantum Machines (QM), the global leader in quantum computing control systems, providing the hardware and software infrastructure powering many of the world's most advanced quantum computing programs.
We are looking for a highly motivated intern who is excited to gain hands-on experience with cutting-edge quantum hardware, advanced cryogenic systems, and one of the fastest-growing quantum ecosystems in the world. This is a unique opportunity to work alongside experienced physicists and engineers while contributing to the operation and development of advanced quantum computing infrastructure.
The successful candidate will join the team operating our new laboratory in Chicago, which includes multiple dilution refrigerators, advanced measurement systems, and a wide range of quantum and classical devices. The facility is being established by Quantum Machines as part of the Illinois Quantum & Microelectronics Park (IQMP).
Responsibilities:
  • Assist with the operation and maintenance of dilution refrigerators and supporting laboratory infrastructure.
  • Support calibration and characterization activities for quantum devices using Quantum Machines' control systems.
  • Participate in the assembly, testing, and optimization of experimental quantum computing platforms.
  • Work closely with physicists, engineers, and the lab management team to solve technical and operational challenges.
  • Contribute to delivering a world-class research environment for academic and industry customers.

Internship Details:
  • Location: Chicago, Illinois (On-site).
  • Time Commitment: 20-25 hours per week (2-3 days per week).
  • Start Date: Immediate.
  • Duration: Ongoing, with the possibility of conversion to a full-time position.

Requirements
  • Master's degree or PhD in Experimental Physics, Electrical Engineering, Applied Physics, Quantum Engineering, or a related field.-Must
  • Strong experimental laboratory skills and attention to detail.-Must
  • Excellent communication, organizational, and problem-solving abilities.
  • Ability to work on-site in Chicago.-Must
  • Current enrolment in a Master's or PhD program is not required

Preferred
  • Experience working with quantum computing hardware.
  • Experience operating cryogenic systems or dilution refrigerators.
  • Familiarity with microwave measurements and laboratory instrumentation.
  • Python programming experience.
  • Experience with Quantum Machines control systems.

What We Offer
  • A paid internship with hands-on exposure to state-of-the-art quantum technologies.
  • The opportunity to work alongside leading experts in quantum computing and experimental physics.
  • Direct involvement in a rapidly growing ecosystem that includes universities, startups, national laboratories, and technology companies.
  • A unique learning experience with the potential to transition into a full-time role.

Apply