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Machine Learning Qa Engineer Jobs (NOW HIRING)

QA Engineer

Plano, TX ยท On-site

Position Title * QA Engineer ACSPA0F35 Position Responsibilities QA Engineer Location: Plano, TX- Hybrid (look for near by candidates) W2 Candidates Required Skills- Python + Core Java + Selenium ...

One of our direct client is urgently looking for a QA Engineer @ Sunnyvale CA TITLE: QA Engineer LOCATION: Sunnyvale CA Duration: 6 to 12+ Months Position Description We are looking for a passionate ...

SMX is seeking a QA Tester/Engineer to ensure the quality, reliability, and performance of ... Test and validate AI-enabled applications, machine learning integrations, and large language model ...

New

QA Engineer Onsite in Foster City, CA | 5 days in office The Quality Assurance team is actively seeking a Quality Assurance Engineer to help ensure that our backend services are optimized, secure ...

QA Engineer

Boulder, CO ยท On-site

Quality Assurance Engineer In this role, you will be is responsible for QA of all hardware and software. You'll ensuresoftware and hardware is ready for deployment by ensuring that all issues are ...

Software Quality Assurance Engineer Location -Onsite Hybrid role Lincoln Massachusetts About Wingbrace Wingbrace (www.wingbrace.com) is a software and technical services company focused on the ...

QA Engineer

Seattle, WA ยท On-site

$110K - $120K/yr

QA Engineer Job Summary We are seeking a collaborative and forward-thinking experienced QA Engineer to join our established QA team as our resident Automation Specialist. You will be joining a close ...

QA Automation Engineer

Seattle, WA ยท Hybrid

$115K - $125K/yr

QA Automation Engineer Job Summary We are seeking a collaborative and forward-thinking experienced QA Automation Engineer to join our established QA team as our resident Automation Specialist. You ...

Possesses a strong intellectual curiosity and a continuous learning mindset, staying ahead of ... What We're Looking For: * 3+ years of hands-on experience in QA Engineering with a strong ...

Quality Assurance Engineer Location: Belmont, NH Type: Fulltime, On-site Summary: The company's products include DC/DC converters, AC/DC inverters, solid-state power distribution, generator control ...

Software Quality Assurance Engineer FULL-TIME, WASHINGTON, D.C. About the job Throne aims to provide peace of mind to those that venture out each day -- making it so no one has to worry about finding ...

Software Quality Assurance Engineer FULL-TIME, WASHINGTON, D.C. About the job Throne aims to provide peace of mind to those that venture out each day -- making it so no one has to worry about finding ...

Software Quality Assurance Engineer FULL-TIME, WASHINGTON, D.C. About the job Throne aims to provide peace of mind to those that venture out each day -- making it so no one has to worry about finding ...

QA Engineer

Redmond, WA ยท On-site

QA Engineer - Onsite (Redmond, WA) We're hiring a QA Engineer to support Windows security initiatives. This is an onsite role in Redmond , with a strong preference for local candidates (relocation ...

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Machine Learning QA Engineer information

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$18

$48

$78

How much do machine learning qa engineer jobs pay per hour?

As of Jul 9, 2026, the average hourly pay for machine learning qa engineer in the United States is $48.54, according to ZipRecruiter salary data. Most workers in this role earn between $38.22 and $55.53 per hour, depending on experience, location, and employer.

What are Machine Learning QA Engineers?

Machine Learning QA Engineers are professionals who specialize in testing and validating machine learning models and systems. They ensure that machine learning algorithms perform as expected, are reliable, and meet quality standards before deployment. Their role involves developing test cases, automating testing processes, analyzing results, and collaborating with data scientists and software engineers to improve model accuracy and robustness. They also help identify biases, data inconsistencies, and potential issues in the machine learning pipeline.

What are some common challenges faced by Machine Learning QA Engineers when testing AI models, and how are they typically addressed?

Machine Learning QA Engineers often encounter challenges such as ensuring model accuracy across diverse datasets, reproducibility of test results, and validating the fairness and bias of AI outputs. Addressing these issues typically involves developing robust automated test frameworks, collaborating closely with data scientists to understand model behaviors, and implementing rigorous data validation and monitoring processes. Additionally, continuous learning is essential, as ML models evolve rapidly and require QA Engineers to stay updated on new testing methodologies and tools.

What are the key skills and qualifications needed to thrive as a Machine Learning QA Engineer, and why are they important?

To thrive as a Machine Learning QA Engineer, you need a strong grasp of software testing principles, machine learning concepts, and proficiency in programming languages like Python, along with a relevant degree in computer science or engineering. Familiarity with testing frameworks (such as pytest), ML platforms (like TensorFlow or PyTorch), and experience with automated testing tools are typically required. Exceptional analytical thinking, attention to detail, and effective communication skills set standout candidates apart in this role. These skills and qualities are crucial to ensure the quality, reliability, and fairness of machine learning models before they are deployed to production.

What is the difference between Machine Learning Qa Engineer vs Data Scientist?

AspectMachine Learning Qa EngineerData Scientist
Required CredentialsBachelor's in CS, QA certifications, knowledge of ML modelsBachelor's/Master's in CS, statistics, data analysis
Work EnvironmentTesting labs, development teams, QA departmentsResearch, data analysis, modeling teams
Industry UsageTech companies, AI startups, software firmsTech, finance, healthcare, research institutions
Common Search/ComparisonYesYes

While both roles involve working with machine learning, a Machine Learning Qa Engineer primarily focuses on testing and validating ML models to ensure quality and performance. In contrast, a Data Scientist analyzes data, develops models, and derives insights. The roles often collaborate but serve different stages of the ML development lifecycle.

More about Machine Learning QA Engineer jobs
What cities are hiring for Machine Learning Qa Engineer jobs? Cities with the most Machine Learning Qa Engineer job openings:
QA Engineer

Full-time

Re-posted 9 days ago


Job description

Position Title*
QA Engineer
ACSPA0F35
Position Responsibilities
QA Engineer
Location: Plano, TX- Hybrid (look for near by candidates)
W2 Candidates
Required Skills- Python + Core Java + Selenium
Payment/Transaction/Treasury background
โ€ข 3+ years of Data/File/Database and ETL/Data warehouse testing and proficient in testing all conversions - File to file, file to Database, database to file etc.
โ€ข Strong command over SQL. Ability to write complex queries across different systems - preferred Oracle & DB2/Netezza.
โ€ข Shell Scripts/Regular Expressions(RegExps)/UNIX experience is a huge asset
โ€ข Strong experience (3+ years) in parsing & generating data/files, bank standards (SWIFT, etc.), XML and XPath
โ€ข Good to have: Eclipse or NetBeans Project Management; Test NG; Version Management' Web Services Testing