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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 ...

Posted today

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 ...

Posted today

Infleqtion

Quantum Software Engineer - Nuclear

Chicago, IL · On-site

$107K - $144K/yr

Familiarity with AI: machine learning, LLMs, agentic AI, etc. * Experience with open-source quantum software frameworks, such as Cirq or Qiskit. Ideal candidates will have experience not only using ...

Infleqtion

Quantum Software Engineer - Nuclear

Chicago, IL

$107K - $144K/yr

Familiarity with AI: machine learning, LLMs, agentic AI, etc. * Experience with open-source quantum software frameworks, such as Cirq or Qiskit. Ideal candidates will have experience not only using ...

Infleqtion

Quantum Software Engineer - Nuclear

Chicago, IL · On-site

$107K - $144K/yr

Familiarity with AI: machine learning, LLMs, agentic AI, etc. * Experience with open-source quantum software frameworks, such as Cirq or Qiskit. Ideal candidates will have experience not only using ...

Allstate Insurance

Quantum Algorithm Developer Expert

Chicago, IL · On-site

$19.50 - $25.50/hr

This job does not have supervisory duties. #LI-TE1 Skills Algorithm Development, Algorithms, Collaboration, External Partners, Machine Learning (ML), Quantum Computing, Quantum Hardware, Researching ...

Posted today

Allstate

Quantum Algorithm Developer Expert

Chicago, IL

$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 ...

New

Varsity Tutors

Linear Algebra Tutor

Naperville, IL · 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 ...

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

Quantum Machine Learning information

See Chicago, IL salary details

$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.

Quantum Solutions Engineer - Scientific Machine Learning M/W

Pasqal

Chicago, IL • On-site

Full-time

Posted 14 days ago

Job description

PASQAL designs and develops Quantum Processing Units and dedicated software tools. These innovative processors address applications which are out of the reach of the most powerful existing supercomputers, encompassing real-world challenges as well as fundamental science. As they are very low energy intensive, they will significantly contribute to reduce the carbon footprint of the computing industry.
PASQAL has partnerships with key users in the fields of energy, IT, finance, drug and chemical design, automotive. The maturity and potential of our technology and the quality of our scientific team has been rewarded several times at French, European and global levels.
Description
We are looking for a Quantum Solutions Engineer to join our Quantum Applications department and build client-facing solutions based on PASQAL's quantum algorithm portfolio.
This application-driven engineering role focuses on adapting, integrating, and validating quantum and quantum-enhanced machine learning methods for real-world partner and client use-cases, with a strong focus on molecular and chemical applications.
The goal is to turn PASQAL's existing methods into reliable client deliverables by combining scientific machine learning, Graph Machine Learning, and analog quantum computing.
Contributions to internal method improvement are welcome when they directly support project outcomes.
You will join as a Scientific Machine Learning Engineer specializing in chemistry applications, working at the interface between graph machine learning, quantum algorithms, and industrial use cases.
With strong engineering skills and an interest in quantum computing (physics background is a plus), you will:
• Adapt and implement PASQAL's existing quantum and quantum-enhanced Graph ML algorithms for client datasets, scientific constraints, and performance targets.
• Translate scientific and chemical use cases into well-defined machine learning tasks, such as molecular property prediction, classification, ranking, or candidate screening.
• Select and implement suitable representations for molecules and chemical systems, including physicochemical descriptors, fingerprints, molecular graphs, and quantum feature representations.
• Integrate ML pipelines with quantum execution workflows, emulation and simulation platforms, PASQAL QPUs, and internal tooling.
• Collaborate closely with internal R&D teams to transfer quantum methods from research to application, clarify their assumptions and limitations, and select the most appropriate approach from PASQAL's portfolio.
• Work closely with chemistry experts from clients and partners to understand the scientific meaning, quality, and limitations of molecular and experimental data.
• Produce maintainable code, technical documentation, benchmark reports, and handover material so delivered solutions can be reproduced, reused, and supported.
• Maintain an active scientific and technological watch in Quantum Machine Learning, Graph Machine Learning, and molecular machine learning.
This list is non exhaustive.
About you
  • Master's degree or PhD in Machine Learning, Computational Chemistry or Quantum Physics
  • 2+ years of experience in a similar role
  • Strong ML engineering background, including model training and evaluation, classical baselines, metrics, and reproducible experimentation.
  • Hands-on experience with graph-structured data and Graph Machine Learning, such as graph kernels, Graph Neural Networks, or graph representations.
  • Familiarity with quantum computing or quantum mechanics concepts and constraints, including the differences between classical simulation, emulation, and hardware execution.
  • Working knowledge of fundamental chemistry concepts and familiarity with molecular representations such as descriptors, fingerprints, molecular graphs, or SMILES.
  • Strong interest in applying quantum computing to practical machine learning and scientific problems.
  • Experience working with molecular, chemical, materials, or other scientific data.
  • Ability to build end-to-end ML pipelines (pre/post-processing, integration with existing tools/platforms).

  • Physics background (quantum/atomic/optics) is a plus.
  • Delivery mindset and ownership (client-facing deliverables, pragmatism, trade-offs).
  • Strong communication and collaboration with internal R&D, hardware, and platform teams.

Right to work in USA without sponsorship is preferred.
What we offer
  • Flexible schedules to support work/life balance
  • A dynamic, close-knit, collaborative, and diverse international team for co-workers
  • An impactful role in a growing scale-up that is leading in the Neutral Atom Quantum Computing space
  • Competitive benefit packages
  • Lots of time off to enjoy the things you love outside of work
  • Free time to learn and attend conferences/meetups
  • Employment Terms : Full time, Direct hire, Hybrid

Recruitment process
  • An interview with our talent acquisition team via Teams Video meeting
  • A 1 hour video interview with hiring manager via Teams Video meeting
  • For technical roles: A technical Interview round via Teams Video with the hiring manager
  • Final Interview
  • An offer !

PASQAL is an equal opportunity employer. We are committed to creating a diverse and inclusive workplace, as inclusion and diversity are essential to achieving our mission. We encourage applications from all qualified candidates, regardless of gender, music preference, ethnicity, age, religion or sexual orientation.
Department Software Role Quantum Application Locations Chicago Remote status Hybrid Employment type Full-time Seniority Senior

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