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How much do machine learning qa jobs pay per hour?

As of Aug 18, 2026, the average hourly pay for machine learning qa in Virginia is $44.49, according to ZipRecruiter salary data. Most workers in this role earn between $36.20 and $54.09 per hour, depending on experience, location, and employer.

What is a machine learning QA?

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.

What does a machine learning QA do?

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 skills and qualifications are needed for a machine learning QA?

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.

What are popular job titles related to Machine Learning Qa jobs in Virginia?

For Machine Learning Qa jobs in Virginia, the most frequently searched job titles are:

What job categories do people searching Machine Learning Qa jobs in Virginia look for?

The top searched job categories for Machine Learning Qa jobs in Virginia are:

Machine Learning Qa jobs near you
Infographic showing various Machine Learning Qa job openings in Virginia as of August 2026, with employment types broken down into 1% As Needed, 70% Full Time, 28% Part Time, and 1% Contract. Highlights an 87% Physical, 2% Hybrid, and 11% Remote job distribution, with an average salary of $92,537 per year, or $44.5 per hour.

Quality Assurance Engineer/Sr. Quality Assurance Engineer

Marmon Holdings, Inc.

Charlottesville, VA • On-site

Full-time

Posted 5 days ago

Marmon Holdings rating

7.7

Company rating: 7.7 out of 10

Based on 15 frontline employees who took The Breakroom Quiz

Job description

MicroAire Surgical Instruments LLC
As a part of the global industrial organization Marmon Holdings-which is backed by Berkshire Hathaway-you'll be doing things that matter, leading at every level, and winning a better way. We're committed to making a positive impact on the world, providing you with diverse learning and working opportunities, and fostering a culture where everyone's empowered to be their best.
Under broad supervision, conducts internal quality controls to ensure established quality procedures and norms are followed. Conducts non-routine quality analysis and tests/inspections of a quality control program, resolving most questions and problems and recommends necessary quality procedure changes. Monitors and records inconsistencies with quality procedures and norms. Records and analyzes customer claims and prepares reports on rejected or defective products. May assist in the development of new methods and procedures. Role typically requires between 3 and 5 years of experience.
MicroAire is seeking talented Quality Engineers at multiple experience levels. Candidates may be considered for either a Quality Assurance Engineer or Senior Quality Assurance Engineer position based on qualifications, experience, and demonstrated capabilities.
The Quality Assurance Engineer supports and leads quality engineering activities associated with new product development, sustaining engineering, supplier quality, and Quality Management System (QMS) initiatives within a regulated medical device environment. This role partners with cross-functional teams to ensure products, processes, and systems meet quality, regulatory, and customer requirements while supporting innovation, operational excellence, and continuous improvement. Depending on experience and qualifications, the successful candidate may be hired at the Quality Assurance Engineer or Senior Quality Assurance Engineer level.
Essential Duties and Responsibilities
  • Support and/or lead quality engineering activities related to new product development, design control, and sustaining engineering programs.
  • Participate in design verification, design validation, risk management, process validation, packaging validation, sterilization validation, and design transfer activities.
  • Develop, execute, and review validation and qualification protocols and reports, including IQ/OQ/PQ activities.
  • Ensure compliance with applicable FDA regulations, ISO standards, company procedures, and other regulatory requirements.
  • Support and/or lead CAPA, complaint investigations, nonconformance investigations, root cause analysis, and corrective action activities.
  • Evaluate product and process changes and assess impact on product quality, validation status, and regulatory compliance.
  • Collaborate with R&D, Manufacturing, Regulatory Affairs, Supply Chain, and Operations teams to drive quality objectives and support product launches.
  • Support supplier quality activities including supplier qualification, audits, incoming quality issues, and material discrepancy resolution.
  • Utilize statistical analysis and data-driven decision-making to evaluate process capability, quality trends, and product performance.
  • Participate in quality metrics reviews and continuous improvement initiatives to improve QMS effectiveness and operational performance.
  • Support internal and external audits and assist in maintaining an inspection-ready quality system.
  • Assist with or lead implementation of quality system improvements, software tools, and process optimization projects.
  • Provide technical quality guidance to cross-functional teams and, at the senior level, mentor less experienced team members.
  • Perform other duties as assigned.

Education and Experience
Required
  • Bachelor's degree in Engineering, Science, or a related technical discipline.

Quality Assurance Engineer
  • 0 to 3 years of quality, manufacturing, or engineering experience.
  • Experience in a regulated manufacturing environment preferred.
  • Knowledge of FDA, ISO 13485, CAPA, validation, and quality systems preferred.

Senior Quality Assurance Engineer
  • 6+ years of quality or manufacturing engineering experience.
  • Experience in medical devices or another highly regulated industry required.
  • Demonstrated experience leading CAPAs, risk management activities, validation programs, supplier quality initiatives, and quality improvement projects.
  • Prior experience mentoring or providing technical leadership preferred.

Preferred Qualifications
  • Medical device industry experience.
  • Supplier quality experience.
  • ASQ Certified Quality Engineer (CQE) or other ASQ certification.
  • Lean Six Sigma certification or experience.
  • Experience with statistical analysis, process capability studies, and quality improvement methodologies.

Core Competencies
Quality Systems & Regulatory Compliance
Applies quality engineering principles, Quality Management System requirements, and regulatory standards to ensure compliant products, processes, and documentation.
Skills
  • FDA and ISO 13485 compliance
  • Quality systems
  • CAPA management
  • Change control
  • Audit support
  • Design controls

Behaviors
  • Maintains compliance-focused decision making.
  • Produces accurate, audit-ready documentation.
  • Identifies and addresses quality system gaps.
  • Demonstrates strong attention to detail.

Risk Management & Problem Solving
Uses data, risk-based thinking, and structured methodologies to identify issues, evaluate risks, and implement sustainable solutions.
Skills
  • Root cause analysis
  • Statistical analysis
  • Risk management
  • FMEA
  • CAPA investigations
  • Data interpretation

Behaviors
  • Makes objective decisions using data.
  • Identifies root causes and preventive actions.
  • Prioritizes issues based on risk and impact.
  • Drives timely issue resolution.

Technical Quality Engineering
Applies quality engineering methodologies throughout product development and manufacturing to ensure safe, effective, and reliable products.
Skills
  • Validation (IQ/OQ/PQ)
  • Design verification and validation
  • Process qualification
  • Supplier quality
  • Product testing
  • Reliability engineering

Behaviors
  • Ensures objective evidence supports quality decisions.
  • Anticipates quality risks.
  • Supports scalable manufacturing solutions.
  • Balances compliance, quality, and business objectives.

Collaboration & Influence
Builds productive relationships across functions and communicates quality requirements effectively.
Skills
  • Technical communication
  • Team facilitation
  • Stakeholder management
  • Supplier engagement
  • Documentation
  • Mentoring and coaching

Behaviors
  • Builds credibility across departments.
  • Communicates complex concepts clearly.
  • Encourages accountability and teamwork.
  • Shares knowledge and best practices.

Continuous Improvement & Operational Excellence
Drives improvements in quality, efficiency, and effectiveness through analysis, innovation, and process optimization.
Skills
  • Lean Six Sigma
  • Quality metrics
  • Process improvement
  • Capability analysis
  • QMS software
  • Project management

Behaviors
  • Identifies opportunities for improvement.
  • Uses metrics to drive decisions.
  • Implements sustainable solutions.
  • Demonstrates ownership and initiative.

Work Environment
  • Primarily office-based with periodic work in manufacturing environments.
  • Must follow all safety and PPE requirements.
  • Ability to traverse manufacturing areas and occasionally lift up to 25 pounds.
  • Must complete all required quality system and training requirements.

Travel
  • Occasional travel (up to 10%) for supplier visits, audits, training, and business support activities.

Pay Range: $75,000- $105,005
Following receipt of a conditional offer of employment, candidates will be required to complete additional job-related screening processes as permitted or required by applicable law.
We are an equal opportunity employer, and all applicants will be considered for employment without attention to their membership in any protected class. If you require any reasonable accommodation to complete your application or any part of the recruiting process, please email your request to careers@marmon.com, and please be sure to include the title and the location of the position for which you are applying.

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