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Machine Learning Testing Jobs in Illinois (NOW HIRING)

Crate and Barrel

AI/ ML Engineer

Northbrook, IL · On-site

$100 - $125/hr

We are looking for an AI / Machine Learning Engineer with 2-5 years of experience to play a ... Design and conduct rigorous A/B testing and validation experiments to measure model performance and ...

Jobtailor

Data Engineering Intern

Niles, IL · On-site

$60 - $80/hr

... cases in audio machine learning algorithms Work closely with the data science and software ... Experience with simulating and testing audio systems with mathematical modelling languages such as ...

New

Whiztek Corp

Lead GenAI Engineer

Chicago, IL · On-site

$105K - $139K/yr

Role: Lead Agentic AI/AI Engineer - Generative AI & Machine Learning Location:  Chicago, IL ... Familiar with functional and non-functional testing of AI/ML applications and operationalizing it ...

AAR Corporation

Data Scientist

Wood Dale, IL · On-site

Strong foundation in statistics, machine learning, and predictive modeling, including regression, classification, clustering, time series, and experiment design e.g., AB testing. * Proficiency in ...

AAR

Data Scientist

Wood Dale, IL · On-site

Strong foundation in statistics, machine learning, and predictive modeling, including regression, classification, clustering, time series, and experiment design e.g., AB testing. * Proficiency in ...

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All JobsMachine Learning Testing JobsMachine Learning Testing Jobs in Illinois

Machine Learning Testing information

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How much do machine learning testing jobs pay per hour?

As of Sep 8, 2026, the average hourly pay for machine learning testing in Illinois is $22.11, according to ZipRecruiter salary data. Most workers in this role earn between $19.09 and $24.71 per hour, depending on experience, location, and employer.

What is a machine learning testing?

A Machine Learning Testing job involves evaluating and validating machine learning models to ensure they function correctly, efficiently, and ethically. This includes testing for accuracy, reliability, bias, and performance under different conditions. Professionals in this role employ techniques such as unit testing, integration testing, data validation, and model performance monitoring. They also work closely with data scientists and engineers to debug issues and improve model robustness. The goal is to ensure that machine learning systems perform as expected and meet business or regulatory requirements.

What are the typical challenges faced by professionals in machine learning testing roles?

Professionals in Machine Learning Testing often encounter challenges such as dealing with non-deterministic model outputs, insufficient or imbalanced datasets, and unclear or evolving testing criteria. They may need to work closely with data scientists and engineers to develop robust test cases and validation methods tailored for dynamic machine learning systems. Staying updated on advancements in testing methodologies and tools is also important, as the field evolves rapidly. Successfully overcoming these challenges leads to higher quality models and more reliable AI solutions for end users.

What are the key skills and qualifications needed to thrive in machine learning testing, and why are they important?

To excel in Machine Learning Testing, you need a solid understanding of machine learning concepts, data analysis, and programming skills in languages like Python, as well as a background in quality assurance or software testing. Familiarity with frameworks such as TensorFlow, PyTorch, automated testing tools, and relevant certifications like ISTQB are highly beneficial. Strong attention to detail, analytical thinking, and effective communication skills help testers identify issues and collaborate with data scientists and developers. These competencies are essential to ensure the reliability, fairness, and accuracy of machine learning models deployed in production environments.

How do I become a machine learning testing?

To become a machine learning testing professional, you typically need a strong background in computer science, programming skills in languages like Python or Java, and knowledge of machine learning frameworks such as TensorFlow or PyTorch. Gaining experience with data analysis, model evaluation, and testing methodologies, along with relevant certifications or training, can improve your qualifications for this role.

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

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

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

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

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

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

Machine Learning Testing jobs near you
Infographic showing various Machine Learning Testing 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 $45,998 per year, or $22.1 per hour.

Quantum Computing Lab Intern

Quantum Machines

Chicago, IL • On-site

Other

Re-posted 10 days ago

Job description

Description
Join the Team Building Chicago's Next-Generation Quantum Testbed
The IQCC is a world-class quantum facility, providing state-of-the-art infrastructure to support quantum computing research and development for both academia and industry. The IQCC is managed and operated by Quantum Machines (QM), the global leader in quantum computing control systems, providing the hardware and software infrastructure powering many of the world's most advanced quantum computing programs.
We are looking for a highly motivated intern who is excited to gain hands-on experience with cutting-edge quantum hardware, advanced cryogenic systems, and one of the fastest-growing quantum ecosystems in the world. This is a unique opportunity to work alongside experienced physicists and engineers while contributing to the operation and development of advanced quantum computing infrastructure.
The successful candidate will join the team operating our new laboratory in Chicago, which includes multiple dilution refrigerators, advanced measurement systems, and a wide range of quantum and classical devices. The facility is being established by Quantum Machines as part of the Illinois Quantum & Microelectronics Park (IQMP).
Responsibilities:
  • Assist with the operation and maintenance of dilution refrigerators and supporting laboratory infrastructure.
  • Support calibration and characterization activities for quantum devices using Quantum Machines' control systems.
  • Participate in the assembly, testing, and optimization of experimental quantum computing platforms.
  • Work closely with physicists, engineers, and the lab management team to solve technical and operational challenges.
  • Contribute to delivering a world-class research environment for academic and industry customers.
Internship Details:
  • Location: Chicago, Illinois (On-site).
  • Time Commitment: 20-25 hours per week (2-3 days per week).
  • Start Date: Immediate.
  • Duration: Ongoing, with the possibility of conversion to a full-time position.
Requirements
  • Master's degree or PhD in Experimental Physics, Electrical Engineering, Applied Physics, Quantum Engineering, or a related field.-Must
  • Strong experimental laboratory skills and attention to detail.-Must
  • Excellent communication, organizational, and problem-solving abilities.
  • Ability to work on-site in Chicago.-Must
  • Current enrolment in a Master's or PhD program is not required
Preferred
  • Experience working with quantum computing hardware.
  • Experience operating cryogenic systems or dilution refrigerators.
  • Familiarity with microwave measurements and laboratory instrumentation.
  • Python programming experience.
  • Experience with Quantum Machines control systems.
What We Offer
  • A paid internship with hands-on exposure to state-of-the-art quantum technologies.
  • The opportunity to work alongside leading experts in quantum computing and experimental physics.
  • Direct involvement in a rapidly growing ecosystem that includes universities, startups, national laboratories, and technology companies.
  • A unique learning experience with the potential to transition into a full-time role.

Apply