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Machine Learning Software Engineer Jobs in Illinois

3B Staffing LLC

Senior Machine Learning Engineer

Chicago, IL · On-site

$107K - $147K/yr

Senior Machine Learning Engineer Chicago, IL Description: PURPOSE: At Hyatt, we're working to ... EXPERIENCE AND QUALIFICATIONS: * 5+ years of implementing software product solutions in a cloud ...

Capital One

Lead Machine Learning Engineer

Chicago, IL · On-site

$105K - $139K/yr

Lead Machine Learning Engineer As a Capital One Machine Learning Engineer (MLE), you'll be part of ... Collaborate as part of a cross-functional Agile team to create and enhance software that enables ...

Capital One

Lead Machine Learning Engineer

Chicago, IL · On-site +1

$105K - $139K/yr

Lead Machine Learning Engineer As a Capital One Machine Learning Engineer (MLE), you'll be part of ... Collaborate as part of a cross-functional Agile team to create and enhance software that enables ...

Capital One

Lead Machine Learning Engineer

Chicago, IL · On-site +1

$105K - $139K/yr

Lead Machine Learning Engineer As a Capital One Machine Learning Engineer (MLE), you'll be part of ... Collaborate as part of a cross-functional Agile team to create and enhance software that enables ...

Reliance, Inc.

AI Software Engineer 1

Chicago, IL

$80K - $100K/yr

The AI Software Engineer I is responsible for supporting the development, implementation, and ... Foundational knowledge of artificial intelligence, machine learning, automation, or data-related ...

Capital One

Lead Machine Learning Engineer

Chicago, IL · On-site

$105K - $139K/yr

Lead Machine Learning Engineer As a Capital One Machine Learning Engineer (MLE), you'll be part of ... Collaborate as part of a cross-functional Agile team to create and enhance software that enables ...

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Showing results 41-60

All JobsMachine Learning Software Engineer JobsMachine Learning Software Engineer Jobs in Illinois

Machine Learning Software Engineer information

See Illinois salary details

$61.5K

$143K

$199.1K

How much do machine learning software engineer jobs pay per year?

As of Sep 6, 2026, the average yearly pay for machine learning software engineer in Illinois is $142,954.00, according to ZipRecruiter salary data. Most workers in this role earn between $116,300.00 and $167,600.00 per year, depending on experience, location, and employer.

What does a machine learning software engineer do?

A Machine Learning Software Engineer designs, develops, and deploys machine learning models within software applications. They work on data preprocessing, model training, optimization, and integration into production systems. Their role requires expertise in programming (Python, Java, or C++), machine learning frameworks (TensorFlow, PyTorch, or Scikit-learn), and cloud platforms. They collaborate with data scientists and software engineers to build scalable ML solutions.

What are the key skills and qualifications needed to thrive as a machine learning software engineer?

To thrive as a Machine Learning Software Engineer, you need a solid understanding of programming (especially Python), algorithms, data structures, and mathematics, ideally backed by a degree in computer science, engineering, or a related field. Experience with frameworks such as TensorFlow or PyTorch, familiarity with cloud platforms (AWS, Azure, or GCP), and relevant certifications in data science or machine learning are highly valuable. Strong problem-solving skills, effective communication, and the ability to work collaboratively with cross-functional teams set outstanding candidates apart. These competencies are crucial for building deployable, scalable, and maintainable machine learning solutions that address real business challenges.

Is machine learning software engineer a high paying job?

Machine learning software engineers typically earn high salaries due to the specialized skills required, such as proficiency in programming languages like Python and experience with frameworks like TensorFlow. Salaries vary based on experience, location, and industry, but overall, it is considered a well-compensated role in the tech field.

What are the most commonly searched types of Machine Learning Software Engineer jobs in Illinois?

The most popular types of Machine Learning Software Engineer jobs in Illinois are:

What are popular job titles related to Machine Learning Software Engineer jobs in Illinois?

For Machine Learning Software Engineer jobs in Illinois, the most frequently searched job titles are:

What job categories do people searching Machine Learning Software Engineer jobs in Illinois look for?

The top searched job categories for Machine Learning Software Engineer jobs in Illinois are:

What are popular job titles related to Machine Learning Software Engineer jobs in IL?

For Machine Learning Software Engineer jobs in IL, the most frequently searched job titles are:

Machine Learning Software Engineer jobs near you
Infographic showing various Machine Learning Software Engineer job openings in Illinois as of August 2026, with employment types broken down into 1% As Needed, 80% Full Time, 18% Part Time, and 1% Contract. Highlights an 87% Physical, 2% Hybrid, and 11% Remote job distribution, with an average salary of $142,954 per year, or $68.7 per hour.

Software Engineer, Quantum Systems & Digital Engineering

Infleqtion

Chicago, IL • On-site

$145K - $170K/yr

Full-time

Medical, Dental, Vision, Life, Retirement, PTO

Posted 4 days ago

Job description

We are seeking a Software Engineer, Quantum Systems & Digital Engineering to develop advanced software tools for the design, simulation, integration, and manufacturing of complex quantum systems.
This role will focus on building modular software environments that connect models, data, and engineering workflows across multiple technical domains. Initial applications will include digital-twin and design-automation capabilities for quantum sensing systems, with broader opportunities to contribute to software infrastructure supporting quantum system development, manufacturing, test, and deployment.
The ideal candidate combines strong scientific software engineering skills with familiarity in model-based systems engineering, multiphysics simulation, high-performance computing, machine learning and optimization. This individual will work closely with physicists, systems engineers, optical and mechanical engineers, manufacturing teams, and software developers to turn fragmented engineering workflows into scalable, integrated software platforms.
Job Responsibilities
  • Develop and maintain modular software platforms that integrate models, data, and engineering workflows across RF, optical, mechanical, atomic physics, and other technical domains.
  • Build interfaces between engineering and scientific computing tools, enabling coordinated simulation, analysis, optimization, and design workflows.
  • Support model-based systems engineering (MBSE) activities by developing software tools that connect requirements, models, interfaces, parameters, verification data, and system-level performance.
  • Develop HPC- and GPU-enabled workflows for parameter sweeps, sensitivity analysis, tolerance studies, optimization, and computationally intensive simulation.
  • Apply numerical optimization, reduced-order modeling, surrogate modeling, machine learning, and other data-driven techniques to accelerate engineering design and improve manufacturability.
  • Develop APIs, data models, schemas, visualization tools, and workflow orchestration capabilities that enable reliable exchange of information across heterogeneous engineering tools.
  • Collaborate with domain experts to validate models against experimental data and translate engineering needs into maintainable, production-quality software.
  • Embrace and help establish effective use of AI-assisted software engineering tools to accelerate development, testing, documentation, debugging, code review, and engineering analysis while maintaining strong software quality and technical rigor.

Requirements
  • BS or MS in Computer Science, Physics, Applied Mathematics, Electrical Engineering, Mechanical Engineering, Systems Engineering, or a closely related field.
  • Strong scientific or engineering software-development experience, with high proficiency in Python and familiarity with modern numerical and scientific-computing libraries.
  • Experience developing software that integrates multiple simulation, modeling, engineering, or scientific computing tools.
  • Strong understanding of numerical methods, optimization, simulation, data analysis, or computational modeling.
  • Familiarity with systems engineering concepts, including requirements, interfaces, system architecture, verification and validation, trade studies, or multidisciplinary engineering workflows.
  • Experience with professional software-engineering practices including version control, automated testing, CI/CD, documentation, modular architecture, and maintainable API design.
  • Demonstrated ability to collaborate effectively with scientists and engineers across multiple technical disciplines.
  • Demonstrated ability and enthusiasm for using modern AI-assisted development tools to improve software-engineering productivity and quality.

Preferred Qualifications
  • Advanced degree in physics, engineering, computer science, applied mathematics, systems engineering, or a related computational discipline.
  • Experience with model-based systems engineering (MBSE) tools, methodologies, or standards, such as SysML, digital thread approaches, requirements traceability, or model-centric engineering workflows.
  • Experience with multiphysics or engineering platforms such as Ansys, Zemax OpticStudio, SolidWorks, COMSOL, MATLAB/Simulink, or similar tools.
  • Experience developing digital twins, simulation orchestration frameworks, engineering automation tools, or model-based design environments.
  • Experience with machine learning, surrogate modeling, Bayesian optimization, uncertainty quantification, or design-space exploration.
  • Familiarity with quantum technologies, optical systems, RF systems, atomic physics, precision sensing, or other complex physical systems.
  • Experience with HPC, GPU acceleration, distributed computing, or cloud-based scientific-computing environments.
  • Experience applying generative AI, coding agents, or other AI-enabled tools within scientific or engineering software-development workflows.

Benefits
  • Salary range: $145,000 to $170,000 per year
  • 100% company-paid medical, dental, vision, short/long-term disability
  • Employer-funded Health Savings Account
  • Unlimited PTO
  • 401(k) match
  • Company-paid Life and AD&D Insurance
  • Flexible Savings Account
  • Paid FMLA, Maternity/Paternity Leave
  • Employee Assistance Program
  • Student Loan Repayment
  • Equity Package

Equal Opportunity
Here you have freedom to embrace your whole self: who you love, your gender identity and expression, skin color, age, appearance, disability, neurodiversity, DNA, military/veteran status, citizenship, and other factors that make up who you are. Your uniqueness is valued, welcomed, and appreciated here. We are dedicated to providing a positive workplace and base all employment decisions on your qualifications, performance, merits, as well as business needs. We are proud to be an Equal Employment Opportunity Employer.
Note
This position may require access to information protected under U.S. export control laws and regulations for quantum computing technology. Please note that any offer for employment may be conditioned on authorization to receive software or technology controlled under these U.S. export control laws and regulations without sponsorship for an export license.
Contact Information
If this opportunity interests you and you fit the job description, please submit an application. If you need assistance or an accommodation due to disability, please feel free to contact us at hr@infleqtion.com.
Notice to Recruitment Agencies:
Infleqtion does not accept unsolicited resumes from agencies. Infleqtion is not responsible for any fees related to unsolicited resumes.

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