ZipRecruiter

Log In

1

Machine Learning Quantum Computing Jobs in Chicago, IL

Cna

Senior AI & ML Engineer

Chicago, IL · Hybrid

$72K - $141K/yr

... and machine learning applications. * Strong interpersonal skills; ability to work independently as well as in a team and a highly matrixed environment. * Experience in cloud computing platforms.

CNA

Senior AI & ML Engineer

Chicago, IL · On-site

$72K - $141K/yr

... and machine learning applications. * Strong interpersonal skills; ability to work independently as well as in a team and a highly matrixed environment. * Experience in cloud computing platforms.

Varsity Tutors

Linear Algebra Tutor

Des Plaines, IL · Remote

$40/hr

... machine learning, and quantum mechanics applications. * Curriculum Awareness & Adaptive Instruction ... vector spaces, computing determinants of large matrices, and grasping the significance of ...

Varsity Tutors

Linear Algebra Tutor

Wheaton, IL · Remote

$40/hr

... machine learning, and quantum mechanics applications. * Curriculum Awareness & Adaptive Instruction ... vector spaces, computing determinants of large matrices, and grasping the significance of ...

Varsity Tutors

Linear Algebra Tutor

Highland Park, IL · Remote

$40/hr

... machine learning, and quantum mechanics applications. * Curriculum Awareness & Adaptive Instruction ... vector spaces, computing determinants of large matrices, and grasping the significance of ...

Varsity Tutors

Linear Algebra Tutor

Schaumburg, IL · Remote

$40/hr

... machine learning, and quantum mechanics applications. * Curriculum Awareness & Adaptive Instruction ... vector spaces, computing determinants of large matrices, and grasping the significance of ...

Varsity Tutors

Linear Algebra Tutor

Oak Lawn, IL · Remote

$40/hr

... machine learning, and quantum mechanics applications. * Curriculum Awareness & Adaptive Instruction ... vector spaces, computing determinants of large matrices, and grasping the significance of ...

Varsity Tutors

Linear Algebra Tutor

Buffalo Grove, IL · Remote

$40/hr

... machine learning, and quantum mechanics applications. * Curriculum Awareness & Adaptive Instruction ... vector spaces, computing determinants of large matrices, and grasping the significance of ...

Varsity Tutors

Linear Algebra Tutor

Skokie, IL · Remote

$40/hr

... machine learning, and quantum mechanics applications. * Curriculum Awareness & Adaptive Instruction ... vector spaces, computing determinants of large matrices, and grasping the significance of ...

Varsity Tutors

Linear Algebra Tutor

Evanston, IL · Remote

$40/hr

... machine learning, and quantum mechanics applications. * Curriculum Awareness & Adaptive Instruction ... vector spaces, computing determinants of large matrices, and grasping the significance of ...

next page

Showing results 1-20

People also search for

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 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
Machine Learning Engineer - Senior Associate

Machine Learning Engineer - Senior Associate

JPMorgan Chase & Co

Chicago, IL • On-site

$126.30K - $166.50K/yr

Full-time

Medical, Retirement

Posted 26 days ago

JPMorgan Chase & Co. rating

8.1

Company rating: 8.1 out of 10

Based on 466 frontline employees who took The Breakroom Quiz

45th of 141 rated banks

Job description

Are you looking for an exciting opportunity to solve exciting business problems? Our Technology team builds innovative products, services, applications to support various business functions, workflows of Wholesale Lending Services.
 
As a Machine Learning Engineer - Senior Associate within the CIB Technology team at JPMorganChase, you will be tasked with the design, construction, and maintenance of our AIOps solution. This role demands a profound knowledge of AI/ML technologies, IT infrastructure, and platform engineering.
 
Job Responsibilities:
  • Design, develop, and maintain software applications with integrated AI/ML capabilities with a key focus on AIOps.
  • Collaborate with cross-functional teams to gather and analyze requirements, translating them into technical solutions.
  • Develop and implement software architecture and design patterns to ensure scalability and performance.
  • Write clean, maintainable, and efficient code in one or more general-purpose programming languages: Python, Java, C, C++, Go.
  • Implement and manage data pipelines to preprocess and transform data for AI/ML models.
  • Integrate AI/ML models into software applications and ensure seamless deployment into production environments.
  • Optimize software applications for performance, reliability, and scalability.
  • Conduct code reviews and provide technical guidance to junior developers.
  • Stay up-to-date with the latest advancements in software engineering and AI/ML technologies.
  • Ensure adherence to software development best practices, including agile and lean methodologies.
  • Apply SRE principles to enhance system reliability, performance, and availability. Implement monitoring and alerting solutions to proactively identify and resolve issues.
 
Required Qualifications, Capabilities, and Skills:
  • Bachelor's degree in Computer Science or equivalent practical experience.
  • 5+ years of experience as a software developer with a focus on integrating AI/ML solutions.
  • Strong programming skills in Python, with experience in developing and maintaining production-level code.
  • Hands on experience of Large Language Model (LLM) techniques, including Agents, Planning, Reasoning, and other related methods.
  • In-depth experience with /Ranking, Recommender systems, RAG (Similarity Search), Agent systems, and other advanced methodologies.
  • Experience with application architecture and design patterns.
  • Proficiency in working with large datasets and data preprocessing.
  • Solid understanding of AI/ML algorithms and techniques, including deep learning and natural language processing.
  • Familiarity with AI/ML libraries and frameworks, such as TensorFlow, PyTorch, scikit-learn, and Keras.
  • Experience with cloud platforms, such as AWS or Azure, for deploying and scaling software applications.
  • Experience with CI/CD, Observability and Monitoring solutions such Jenkins, Phoenix Arise, Splunk etc.
 
Preferred Qualifications, Capabilities, and Skills:
  • Familiarity with DevOps practices for software deployment and monitoring.
  • Experience with SQL and NoSQL databases, Linux/Unix environments, and tools like Terraform and Apache Kafka.
  • Experience with distributed computing frameworks, such as Apache Spark.
  • Experience in implementing SRE practices to improve system reliability and performance.
JPMorganChase, one of the oldest financial institutions, offers innovative financial solutions to millions of consumers, small businesses and many of the world's most prominent corporate, institutional and government clients under the J.P. Morgan and Chase brands. Our history spans over 200 years and today we are a leader in investment banking, consumer and small business banking, commercial banking, financial transaction processing and asset management.

We offer a competitive total rewards package including base salary determined based on the role, experience, skill set and location. Those in eligible roles may receive commission-based pay and/or discretionary incentive compensation, paid in the form of cash and/or forfeitable equity, awarded in recognition of individual achievements and contributions. We also offer a range of benefits and programs to meet employee needs, based on eligibility. These benefits include comprehensive health care coverage, on-site health and wellness centers, a retirement savings plan, backup childcare, tuition reimbursement, mental health support, financial coaching and more. Additional details about total compensation and benefits will be provided during the hiring process. 

We recognize that our people are our strength and the diverse talents they bring to our global workforce are directly linked to our success. We are an equal opportunity employer and place a high value on diversity and inclusion at our company. We do not discriminate on the basis of any protected attribute, including race, religion, color, national origin, gender, sexual orientation, gender identity, gender expression, age, marital or veteran status, pregnancy or disability, or any other basis protected under applicable law. We also make reasonable accommodations for applicants' and employees' religious practices and beliefs, as well as mental health or physical disability needs. Visit our FAQs for more information about requesting an accommodation.

JPMorgan Chase & Co. is an Equal Opportunity Employer, including Disability/Veterans

J.P. Morgan's Commercial & Investment Bank is a global leader across banking, markets, securities services and payments. Corporations, governments and institutions throughout the world entrust us with their business in more than 100 countries. The Commercial & Investment Bank provides strategic advice, raises capital, manages risk and extends liquidity in markets around the world. 

What JPMorgan Chase & Co. employees say

Pay

Benefits

Hours and flexibility

Workplace

Get the full story on Breakroom

Apply