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Machine Learning Quantum Computing Jobs in Chicago, IL

Career Renew

Senior Machine Learning Engineer

Chicago, IL · Remote

$165K - $225K/yr

Career Renew is recruiting for one of its clients a Senior Machine Learning Engineer - this is a ... scientific computing environments a plus Strong mathematical foundation in linear algebra ...

IMC

Hardware Machine Learning Engineer

Chicago, IL · On-site

$200K - $225K/yr

... demanding computing environments in the world. We build the hardware, the software, and the ... Understanding of machine learning fundamentals - neural network architectures, inference ...

JP Morgan Chase

Patent Attorney - Counsel

Chicago, IL · On-site

... as quantum computing and artificial intelligence or machine learning. Additionally, our team supports the firm's most innovative and cutting-edge initiatives, including the development of new ...

JPMorgan Chase & Co.

Patent Attorney - Counsel

Chicago, IL · On-site

$104.50K - $175K/yr

... as quantum computing and artificial intelligence or machine learning. Additionally, our team supports the firm's most innovative and cutting-edge initiatives, including the development of new ...

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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 May 29, 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 are the key skills and qualifications needed to thrive as a Machine Learning Quantum Computing Specialist, and why are they important?

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 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 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
AI/Machine Learning Engineer

AI/Machine Learning Engineer

Argonne National Laboratory

Lemont, IL • Hybrid

$94.49K - $147.40K/yr

Full-time

Posted 2 days ago

Job description

TheArgonne Leadership Computing Facility (ALCF) is looking for anAI/Machine Learning Software Engineer to help build, deploy, and scale production-quality AI services that support cutting-edge scientific discovery. This is a hands-on engineering role for someone who enjoys turning powerful ideas into robust, usable systems. You will help productize AI capabilities at ALCF by building software services, deployment pipelines, and operational infrastructure that make advanced AI tools accessible, reliable, and scalable for researchers. Your work will directly support scientific users working at the frontier of AI, high-performance computing, and data-driven discovery.

This is an opportunity to work at the frontier ofAI for science and the Department of Energy Genesis mission, where large-scale machine learning, scientific data, simulation, and leadership-class supercomputers come together to enable new modes of discovery. You will join the AI group - a highly collaborative, multidisciplinary environment and work alongside experts in AI, simulation, computer science, applied mathematics, and domain science.If you are excited by building real systems, improving developer workflows, deploying services at scale, and supporting mission-driven research, this is a unique opportunity to contribute to one of the world's leading computing environments.

In this role you can expect to:

  • Design, build, deploy, and maintainAI-enabled software servicesthat support scientific and operational use cases at ALCF
  • Build and improveCI/CD pipelines, automated testing workflows, and engineering processes for AI software and services
  • Support deployment and operations incontainerized and orchestration environments, includingKubernetes
  • Develop internal tools, APIs, and platform services that improve usability, access, and reproducibility for AI workflows
  • Conduct research and development aligned with Argonne's strategic mission in computation, AI, and scientific discovery.
  • Contribute to a team culture that values scientific excellence, collaboration, innovation, and inclusive professional growth.

This position qualifies as "Hybrid Remote Work - Mostly Onsite": which applies to employees regularly scheduled for some onsite and some remote days, with employees typically working up to 40% of their time remotely.

Position Requirements

Required Qualifications:

  • RD2: Bachelor's degree and 5+ years of experience, or Master's degree and 3+ years of experience, or PhD and 0+ years of experience, or equivalent experience
  • Educational background incomputer science, software engineering, computational science, or a related field
  • Experience designing, building, and maintainingproduction software systems
  • Strong programming skills in one or more languages such asPython, C, C++, Rust
  • Experience with one or more AI frameworks such as PyTorch and vLLM.
  • Experience building or maintainingCI/CD pipelinesand automated software delivery workflows
  • Good communication skills, both verbal and written.
  • Ability to model Argonne's core values ofimpact, safety, respect, integrity, and teamwork
Preferred Qualifications:
  • Experience withmodel serving, inference systems, or ML platform components
  • Experience withKubernetes operators, Helm, Argo, GitLab CI, GitHub Actions, or related tooling
  • Experience withcloud-native tools, infrastructure automation, or service observability
  • Experience withrunning AI workloads on large-scale systems
  • Experience withmulti-node or multi-accelerator execution and optimization.

Job Family

Research Development (RD)

Job Profile

Computer Science 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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