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Machine Learning Quantum Computing Jobs in Chicago, IL

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 ... Familiarity with concepts in quantum computing such as error correction, fault tolerance, native ...

Infleqtion

Quantum Software Engineer - Nuclear

Chicago, IL

$107K - $144K/yr

Familiarity with AI: machine learning, LLMs, agentic AI, etc. * Experience with open-source quantum ... Familiarity with concepts in quantum computing such as error correction, fault tolerance, native ...

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 ... Familiarity with concepts in quantum computing such as error correction, fault tolerance, native ...

New

PsiQuantum

Senior Cryogenic Engineer

Chicago, IL · On-site

$107K - $147K/yr

PsiQuantum'smission is to build the first useful quantum computers-machines capable of delivering ... Quantum computing is not an extension of classical computing. Itrepresentsa fundamental shift-and a ...

PsiQuantum

Senior Cryogenic Engineer

Chicago, IL · On-site

$107K - $147K/yr

PsiQuantum's mission is to build the first useful quantum computers-machines capable of delivering ... Quantum computing is not an extension of classical computing. It represents a fundamental shift-and ...

PsiQuantum

Senior Cryogenic Engineer

Chicago, IL

$107K - $147K/yr

PsiQuantum's mission is to build the first useful quantum computers-machines capable of delivering ... Quantum computing is not an extension of classical computing. It represents a fundamental shift-and ...

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All JobsMachine Learning Quantum Computing JobsMachine Learning Quantum Computing Jobs in Chicago, IL

Machine Learning Quantum Computing information

See Chicago, IL salary details

$26.3K

$43.9K

$90.7K

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

As of Aug 4, 2026, the average yearly pay for machine learning quantum computing 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 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.

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 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 popular job titles related to Machine Learning Quantum Computing jobs in Chicago, IL? For Machine Learning Quantum Computing jobs in Chicago, IL, the most frequently searched job titles are:
What job categories do people searching Machine Learning Quantum Computing jobs in Chicago, IL look for? The top searched job categories for Machine Learning Quantum Computing jobs in Chicago, IL are:
Machine Learning Quantum Computing jobs near you

Quantum Solutions Engineer - Scientific Machine Learning M/W

Pasqal

Chicago, IL • On-site

Full-time

Posted 4 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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