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Machine Learning Qa Engineer Jobs (NOW HIRING)

Membersuite

Quality Assurance Engineer

Dunwoody, GA · On-site

But wait - we want QA engineers who have more than one dimension to bring to our team. Fly ... Our employees don't want to be a cog in a machine; they want to drive the business forward. They ...

Curtisswright

Quality Assurance Engineer

Cincinnati, OH · On-site

$75K - $90K/yr

Quality Assurance Engineer We are looking for a Quality Assurance Engineer to join our Cincinnati ... Learning and Development Opportunities I Referral Program I Competitive Pay I Recognition I ...

Victaulic

Quality Assurance Engineer

Easton, PA · On-site

We foster an environment for constant learning. * We engineer change for a more stable and sustainable world. YOUR IMPACT STARTS HERE We're looking for a Quality Assurance Engineer to join our Global ...

CGI Inc.

Quality Assurance Lead

Pittsburgh, PA · On-site

Validate machine learning data pipelines and model workflows, including experiment tracking and ... Mentor QA engineers and champion automation, continuous improvement, and quality engineering best ...

Amicis Global

QA Engineer

Seattle, WA · On-site

Title: Web Quality Assurance Engineer (Multiple Positions) Location: Seattle, WA (Onsite) Duration: 6+ Months Key job responsibilities * You'll build and maintain test infrastructure for a web ...

CGI INC.

Quality Assurance Lead

Pittsburgh, PA

$62K - $139K/yr

Validate machine learning data pipelines and model workflows, including experiment tracking and ... Mentor QA engineers and champion automation, continuous improvement, and quality engineering best ...

NAVA Software Solutions

QA Engineer

Houston, TX · On-site

NAVA Software solutions is looking for a QA Engineer Details: QA Engineer Location: Houston, TX (2-3 days Onsite) Duration: 6-12 months Client is looking for a QA having strong exp in SQL / for BI ...

Membersuite

Quality Assurance Engineer

Dunwoody, GA · On-site

But wait - we want QA engineers who have more than one dimension to bring to our team. Fly ... Our employees don't want to be a cog in a machine; they want to drive the business forward. They ...

System One

Quality Assurance Engineer

Chattanooga, TN · On-site

Quality Assurance Engineer, Nuclear Location: Chattanooga, TN Type: Direct Hire Work Model: Onsite ... Review customer purchase orders, work travelers, procedures, repair/replacement plans, machining ...

Navisoft

Quality Assurance Engineer (ID: KK11DR11246) As a Quality Assurance Engineer, you will utilize your knowledge of software testing and the SDLC, including Agile and Waterfall methodologies, to conduct ...

Plenful

Quality Assurance Engineer

San Francisco, CA · On-site

About the Role We're looking for a midlevel or Senior QA Engineer who's passionate about quality ... Have tested AI or machine learning-enabled applications * Have worked with healthcare software or ...

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Machine Learning QA Engineer information

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

As of Sep 14, 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 is a machine learning QA engineer?

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.

Is a machine learning QA engineer still in demand?

Machine Learning QA engineers are in demand due to the increasing adoption of AI and machine learning systems across industries. They play a critical role in testing and validating models, often requiring skills in programming, data analysis, and familiarity with tools like Python and TensorFlow. As AI integration grows, the need for specialized QA engineers in this field is expected to remain strong.
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Machine Learning QA Engineer jobs near you
Infographic showing various Machine Learning Qa Engineer job openings in the United States as of September 2026, with employment types broken down into 1% Internship, 1% As Needed, 74% Full Time, 22% Part Time, and 2% Contract. Highlights an 82% Physical, 2% Hybrid, and 16% Remote job distribution, with an average salary of $100,970 per year, or $48.5 per hour.

Quality Assurance Engineer

Dunwoody, GA • On-site

Membersuite
Software Development • 51 - 200 employees
Learn more about Membersuiteexternal

Full-time

Medical, PTO

Re-posted 3 days ago

Job description

Company Description

Who Are We?

MemberSuite, Inc. is an enterprise Software Service (SaaS) company based in Atlanta, GA. With over 20 modules, our software powers the back office processes for more than 100 medium and large associations and non-profits, providing order processing, member self-service, and e-marketing. We believe firmly in the future of cloud computing and its inevitability; we believe every enterprise software market will be disrupted by a well architected, service-oriented, extensible SaaS solution, and the world's market of 3.8 million non-profits are no exception.  We believe in world domination - or go home.                 

Job Description

What Do We Need?

We are looking for an extremely bright, experienced QA engineer that is self-driven and able to investigate products, environments and associated systems independently. Our product is extremely sophisticated, with a metadata layer allowing for customer-specific data schemas and custom objects, real-time object serialization and an SOA architecture that allows for deep integration/customer via the API. We need a quality assurance analyst that can help ensure consistent quality/performance of our product.

But wait - we want QA engineers who have more than one dimension to bring to our team. Fly airplanes? Ride motorcycles? Play poker? We love it - it's all part of who we are. And bring your NFL Fantasy Team with you. We're serious about that.


RESPONSIBILITIES

Develop test plans, test cases, test scripts and test reports on multiple projects of varying size.

Responsible for logging and tracking defects to ensure the quality of the product offerings.

Will perform manual automated UI testing in a SaaS environment on each release prior to deploying software into production.

Validate that user expectations are achieved during the testing process.

Review user requirements documents to ensure that requirements are testable.


Qualifications

So- Who Are You?


QUALIFICATIONS 

At least 3-5 years of software QA experience

Strong understanding of SaaS / Multitenant delivery model and inherent challenges with QA

Experience with Agile software development methodology, particularly Scrum 

Experience integrating automated testing into an environment relying heavily on Continuous Integration / Continuous Deployment and related tools

Experience writing test plans, test cases, automation scripts, and doing risk analysis prior to product releases

Experience with load testing and related tools

Exceptional communication skills, both verbal and written 

Experience working with at least one scripting or programming language (Javascript / Powershell/NET preferred) 

Comfortable working with Windows, Mac OS, iOS, Android and all browser flavors 

Strong knowledge of Internet technologies like HTTP, HTML and Javascript 

Tools our engineering team uses: 

o Microsoft technology stack (Windows / IIS / C# .NET / SQL Server)

o AWS 

o jQuery / JavaScript

o Selenium

o LoadUI

o TeamCity

o Octopus Deploy

o Perforce

o Dynatrace

o Splunk


Additional Information

What makes you, the ideal candidate, the right person to join our company?

You see, the right candidate loves the opportunity to try out a new technology and is curious to learn. Our employees don't want to be a cog in a machine; they want to drive the business forward. They want a stake in the company so that they can benefit from their hard work. They want to create something that didn't exist before them, and feel the pride that comes from real people using it to make their jobs easier. The right candidate wants more from a QA engineering position than just a paycheck.

What You Will Get In Return

  • Generous vacation time
  • Health benefits
  • 15 Minute Massages
  • Quarterly Activities
  • Cool Equipment
  • Team Environment
  • Flexible Work Hours

Job Location: Dunwoody, Georgia

Position Type:  Full Time

Compensation: Based on experience


**Please note that only qualified candidates with unrestricted employment authorization (US citizens or permanent residents) will be contacted. Also, this position is LOCAL, so only candidates residing in or near Atlanta will be considered. We are based near Perimeter Mall, in Dunwoody.


Want to learn more about our product?

Follow the link to launch the MemberSuite demo! http://www.membersuite.com/get-ready-membersuite-online-demo

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