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Machine Learning Qa Engineer Jobs (NOW HIRING)

Vertex Sigma Software

QA Engineer

Foster City, CA · On-site

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 ...

Apex Informatics

QA Engineer

Plano, TX · 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 ...

FlowPlay, Inc.

QA Engineer

Seattle, WA · 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 ...

Flowplay, LLC

QA Engineer

Seattle, WA · Hybrid

$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 ...

Rubix Recruiting

QA Engineer

Boulder, CO · 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 ...

Vertex Sigma Software

QA Engineer

Foster City, CA · On-site

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 ...

Wingbrace

Quality Assurance Engineer

Lincoln, MA · On-site

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 ...

4pconsultinginc

Data Engineer 3

Atlanta, GA · On-site

$110K - $132K/yr

As a Quality Assurance Data Engineer within the EDGE group , you will play a critical role in enforcing data quality standards, validating machine learning models, and supporting continuous ...

CivicMinds, Inc.

Quality Assurance Engineer

Belmont, NH · On-site

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 ...

CPI Security

Quality Assurance Engineer

Charlotte, NC · On-site

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 ...

New

THRONE LABS INC

QA Engineer

Washington, DC · Remote

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 ...

THRONE LABS INC

QA Engineer

Washington, DC · Remote

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 ...

THRONE LABS INC

QA Engineer

Los Angeles, CA · Remote

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 ...

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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 Jul 7, 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:
What job categories do people searching Machine Learning Qa Engineer jobs look for? The top searched job categories for Machine Learning Qa Engineer jobs are:
Machine Learning Qa Engineer jobs near you
Quality Assurance Engineer

Quality Assurance Engineer

ASV HOLDINGS, Inc.

Grand Rapids, MN • On-site

Full-time

Medical, Dental, Vision, Life, Retirement, PTO

Re-posted 28 days ago

Job description

Job Type
Full-time
Description
Quality Assurance Engineer
Yanmar Compact Equipment North America designs, manufactures and supports a complete range of compact equipment including compact track loaders, mini excavators, wheel loaders and construction equipment for use in such markets as construction, landscaping, utility, land management and agriculture. The products are sold primarily through a third party, independent dealer network.
OVERVIEW:
The candidate in this position will contribute to the Quality Assurance team by working closely with manufacturing and engineering groups to focus on our drive to be the highest delivered quality compact equipment in the industry. This position will report directly to our Quality Assurance Director.
RESPONSIBILITIES:
  • Implement Quality systems for production and engineering.
  • Material Review Board (MRB) experience or exposure.
  • Collect and evaluate quality data to identify process improvement opportunities.
  • Work with production to create corrective action plans to address process failures.
  • Review supplier manufacturing processes, collaborate with team members on process improvement and value enhancement opportunities.
  • Regularly communicate with Engineering, Manufacturing Engineering, and Supply Chain team members internally to identify opportunities for quality and productivity improvement.
  • Collect, maintain, and report on quality performance metrics.
  • Participate in Engineering Change meetings to ensure thoroughness and compliance.
  • Provide support and analysis on special projects as assigned.

Requirements
QUALIFICATIONS:
Education and/or Experience:
• Bachelor's degree (B.A. or B.S.) in Manufacturing, Industrial, or Mechanical Engineering, or related field from an accredited college or university or equivalent.
• 3 to 5 years of Quality Assurance Engineering experience.
• Experience working in an industrial manufacturing environment.
Knowledge, Skills, & Abilities:
• Knowledge of mechanical, pneumatic, hydraulic, and electrical systems and components.
• Proficient in quality analysis tools such as 8D, SPC, PFMEA, DFMEA and others.
• Strong problem solving skills with the ability to teach basic problem solving techniques and facilitate problem solving team events.
• Knowledge of fabrication based quality control methods, tools, and techniques.
• Strong engineering analysis skills, as well as data analysis and reporting.
• Strong communication skills both written and verbal, presentation skills, and team building skills.
• Manages time effectively, remains organized in all circumstances.
• Self-motivated with a high level of initiative.
The above Job Description is not intended to be an all-encompassing list of responsibilities, skills, efforts or working conditions associated with this position. It is intended to be a guideline reflecting the principal activities.
Worksite: Grand Rapids, MN Position: Quality Assurance Engineer
Job Type: Full Time FLSA: Exempt
Department: Quality Assurance Operations Work Schedule: M-F
Starting Wage: $75-95K
This position offers the potential for discretionary bonus compensation up to 10% of base salary.
Benefits: YCENA currently offers a comprehensive benefits package including Medical, Dental, Vision, Basic Life & AD&D, Voluntary Term Life, Short & Long Term Disability, EAP, HSA, Medical & Dependent Care FSA, Accident Insurance, Critical Illness, and Hospital Indemnity, Paid Time Off, Paid Holidays, and a 401(K) plan with a company match of up to 4%.

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