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Machine Learning Qa Jobs in Chicago, IL (NOW HIRING)

PDF Solutions

Senior QA Automation Engineer

Deer Park, IL · On-site

$80K - $125K/yr

The Senior QA Automation Engineer will play a critical role in ensuring the accuracy, reliability ... Validate machine learning models by evaluating prediction accuracy against historical and real ...

suncast

QA Inspector

Batavia, IL · On-site

$18 - $19/hr

We utilize state-of-the-art machinery and innovative manufacturing techniques to consistently engineer products of the highest possible quality. The Q.A. Inspector is responsible for determining if ...

Darwill, Inc.

Machine Learning Engineer

Villa Park, IL · On-site

MACHINE LEARNING ENGINEER (MLOPS / DATA ENGINEERING) Overview Darwill is a nationally recognized ... Build and maintain data validation and quality checks to ensure reliability of downstream analytics ...

Suncast

QA Inspector

Batavia, IL · On-site

$18 - $19/hr

We utilize state-of-the-art machinery and innovative manufacturing techniques to consistently engineer products of the highest possible quality. The Q.A. Inspector is responsible for determining if ...

Focus

Quality Assurance Inspector

Bridgeview, IL · On-site

$24 - $28/hr

Quality Assurance Inspector As one of the Midwest's largest machining companies, our products can handle volumes from prototype to production. * Approves incoming, in-process, and finished goods ...

suncast

QA Inspector

Batavia, IL

$18 - $19/hr

We utilize state-of-the-art machinery and innovative manufacturing techniques to consistently engineer products of the highest possible quality. The Q.A. Inspector is responsible for determining if ...

Tier4 Group

Sr. QA Analyst - QA

Chicago, IL · On-site +1

Senior QA Analyst (Salesforce) About Us We are a mission-driven financial services organization ... Our team values innovation, accountability, and continuous learning. We operate in an in-office ...

PayPal

Machine Learning Engineer

Chicago, IL

Preprocess and analyze datasets to ensure data quality. * Collaborate with senior engineers and data scientists on model deployment. * Conduct experiments and run machine learning tests. * Stay ...

PayPal, Inc.

Machine Learning Engineer

Chicago, IL · On-site

Preprocess and analyze datasets to ensure data quality. * Collaborate with senior engineers and data scientists on model deployment. * Conduct experiments and run machine learning tests. * Stay ...

PayPal

Machine Learning Engineer

Chicago, IL

Preprocess and analyze datasets to ensure data quality. * Collaborate with senior engineers and data scientists on model deployment. * Conduct experiments and run machine learning tests. * Stay ...

PlanetArt

Quality Assurance Supervisor

Woodridge, IL · On-site

$19 - $20/hr

Job Overview PlanetArt is looking for a Quality Assurance Supervisor to support the company ... Position involves working around machinery with moving parts * The position may require alternating ...

PlanetArt

Quality Assurance Supervisor

Woodridge, IL · On-site

$19 - $20/hr

Job Overview PlanetArt is looking for a Quality Assurance Supervisor to support the company ... Position involves working around machinery with moving parts * The position may require alternating ...

PlanetArt

Quality Assurance Supervisor

Woodridge, IL · On-site

$19 - $20/hr

Job Overview PlanetArt is looking for a Quality Assurance Supervisor to support the company ... Position involves working around machinery with moving parts * The position may require alternating ...

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All JobsMachine Learning Qa JobsMachine Learning Qa Jobs in Chicago, IL

Machine Learning Qa information

See Chicago, IL salary details

$15

$46

$66

How much do machine learning qa jobs pay per hour?

As of Jun 12, 2026, the average hourly pay for machine learning qa in Chicago, IL is $46.23, according to ZipRecruiter salary data. Most workers in this role earn between $37.64 and $56.20 per hour, depending on experience, location, and employer.

What is a Machine Learning QA job?

A Machine Learning QA (Quality Assurance) professional is responsible for testing and validating machine learning models to ensure accuracy, reliability, and performance. They design test cases, create automated testing pipelines, and identify biases or errors in datasets and model outputs. Their role bridges software testing and data science, ensuring that ML systems function correctly in production.

Is AI taking over QA jobs?

AI is transforming QA roles by automating repetitive testing tasks and improving accuracy, but it is not fully replacing QA jobs. Machine Learning QA professionals are increasingly using AI tools to enhance testing efficiency and focus on complex problem-solving, requiring skills in automation, scripting, and data analysis.

Which 3 jobs will survive AI?

Machine Learning QA roles are likely to persist because they require specialized knowledge of testing AI systems, understanding complex algorithms, and ensuring model reliability. Jobs that involve creative thinking, emotional intelligence, and complex problem-solving, such as software developers, data scientists, and AI ethics specialists, are also expected to remain in demand despite AI advancements.

What are the typical daily responsibilities of a Machine Learning QA professional?

A Machine Learning QA professional is primarily responsible for designing, implementing, and executing test plans to ensure the quality and performance of machine learning models and their integration into software products. This often involves developing automated tests, validating dataset integrity, monitoring model outputs, and collaborating closely with data scientists and developers to resolve issues. Additionally, you may participate in code reviews, maintain testing documentation, and contribute to continuous improvement of testing processes. The role is collaborative and requires balancing technical rigor with practical problem-solving to help deliver robust AI-powered applications.

What is a $900,000 AI job?

A $900,000 AI-related job typically refers to high-level positions in artificial intelligence, such as senior machine learning engineers, AI research directors, or chief AI officers, often requiring advanced skills in deep learning, data science, and extensive experience. These roles usually involve leadership, strategic planning, and working with complex models and large datasets, often in competitive industries like tech or finance. Compensation at this level reflects significant expertise, responsibility, and impact within an organization.

What are the key skills and qualifications needed to thrive in the Machine Learning Qa position, and why are they important?

Success as a Machine Learning QA requires a solid understanding of software testing principles, machine learning concepts, and programming skills, typically supported by a degree in computer science or a related field. Familiarity with tools like Python, TensorFlow or PyTorch, and QA automation frameworks, as well as relevant certifications in software testing or ML, are often advantageous. Strong analytical thinking, attention to detail, and effective communication are standout soft skills in this role. These competencies are essential for ensuring machine learning models function as intended, meet quality standards, and integrate smoothly into production environments.

Is ML a high paying job?

Machine Learning (ML) jobs are generally considered high paying within the tech industry due to the specialized skills required, such as programming, data analysis, and knowledge of algorithms. Salaries vary based on experience, location, and company, but ML roles often offer competitive compensation compared to other tech positions.
What are popular job titles related to Machine Learning Qa jobs in Chicago, IL? For Machine Learning Qa jobs in Chicago, IL, the most frequently searched job titles are:
What job categories do people searching Machine Learning Qa jobs in Chicago, IL look for? The top searched job categories for Machine Learning Qa jobs in Chicago, IL are:
Machine Learning Qa jobs near you
Infographic showing various Machine Learning Qa job openings in Chicago, IL as of June 2026, with employment types broken down into 43% Full Time, 53% Part Time, 3% Contract, and 1% Nights. Highlights an 91% Physical, 4% Hybrid, and 5% Remote job distribution, with an average salary of $96,151 per year, or $46.2 per hour.
Senior QA Automation Engineer

Senior QA Automation Engineer

PDF Solutions

Deer Park, IL • On-site

$80K - $125K/yr

Full-time

Posted 7 days ago

Job description

Overview
PDF Solutions is redefining the way the semiconductor industry approaches data, analytics, and experience design. As part of our journey, we're building Next gen platform - a modern, human-centered analytics platform. We believe design systems aren't just about consistency - they're about scalability, collaboration, and performance.
The Senior QA Automation Engineer will play a critical role in ensuring the accuracy, reliability, security, and performance of our AI-enabled integration platform.
This role goes beyond traditional UI testing. You will design and implement automation frameworks for backend services, cloud-native deployments, and machine learning-driven applications. You will be deeply involved in validating data pipelines, testing ML forecasts against historical datasets, and ensuring platform readiness across multi-cloud and containerized environments.
The ideal candidate brings a strong automation-first mindset, hands-on experience with ML application testing, and the ability to work closely with engineering, data science, and DevOps teams to embed quality throughout the SDLC.
Responsibilities
Automation & Test Engineering
  • Design, develop, and maintain scalable automation frameworks using Python, Java, Selenium, and API testing tools.
  • Implement automated testing for backend services, data pipelines, and cloud-native microservices.
  • Build reusable test components for regression, integration, and performance testing.

AI / ML Application Validation
  • Validate machine learning models by evaluating prediction accuracy against historical and real-world datasets.
  • Design test strategies for forecasting, anomaly detection, and analytics pipelines used in integration platforms.

Cloud, Container & DevOps Testing
  • Test applications deployed as Docker containers across multiple cloud environments.
  • Contribute to Helm charts, deployment pipelines, and test environments.
  • Integrate automated tests into CI/CD pipelines and DevOps workflows.

Security, Reliability & Observability
  • Perform security testing using tools such as SQLMap, OWASP ZAP, and vulnerability scanners.
  • Validate system reliability, fault tolerance, and recovery scenarios.
  • Support observability testing using logs, metrics, and monitoring tools (e.g., Prometheus, Grafana).

Quality Leadership
  • Advocate for quality-driven engineering practices and shift-left testing strategies.
  • Collaborate with cross-functional teams to define test strategies aligned with product and business goals.
  • Mentor junior QA engineers and contribute to continuous improvement of QA standards.

Qualifications
Must-Have Skills & Experience
  • Bachelor's degree in Computer Science, Engineering, or related field.
  • 6-10+ years of experience in QA Automation and test engineering.
  • Strong hands-on experience with:
    • Automation frameworks: Selenium, Python, Java
    • API & backend testing
    • Test design for distributed systems
  • Experience testing AI/ML-based applications, including data validation and model accuracy testing.
  • Solid understanding of cloud-native architectures, Docker, and Kubernetes.
  • Experience integrating automation into CI/CD pipelines.
  • Strong analytical, troubleshooting, and problem-solving skills.
  • Experience working in Agile/Scrum

Nice to Have
  • Client facing experience in either sales or business development
  • Exposure to data engineering pipelines and large-scale analytics systems.
  • Experience with DevOps practices, infrastructure as code, and platform automation.
  • Knowledge of observability stacks (InfluxDB, Prometheus, Grafana).
  • Prior experience in SaaS or enterprise-scale platforms.
  • Knowledge of manufacturing or shop-floor applications like MES (SiView, Fab300, etc) and equipment automation
  • Knowledge of ERP integration strategies and EAI in general
  • Ability to travel on company business, attend client functions, and professionally represent the company
  • Certifications: Relevant certifications from public cloud solutions, ITIL, ISO 20000, COBIT.
  • Agile Methodologies: Experience working in Agile/Scrum environments.

Pay Range
USD $80,000.00 - USD $125,000.00 /Yr.

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