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Machine Learning Qa Jobs in Virginia (NOW HIRING)

Tidewater Staffing

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Quality Assurance Inspector

Norfolk, VA · On-site

$25 - $28/hr

Quality Assurance Inspector (Shipyard) Help Ensure Quality Across Hampton Roads Shipyards Tidewater ... Machining * Valve Repair * Coatings & Preservation * Marine Painting * Outfitting * Production ...

Kitware

Machine Learning Engineer

Arlington, VA · Hybrid

$110K - $160K/yr

Machine learning experience using visual data * Understanding of a variety of machine learning ... Experience curating quality, real-world datasets for training deep learning models * Proficiency in ...

Kitware

Machine Learning Engineer

Arlington, VA · Hybrid

$110K - $160K/yr

Machine learning experience using visual data * Understanding of a variety of machine learning ... Experience curating quality, real-world datasets for training deep learning models * Proficiency in ...

Kitware

Machine Learning Engineer

Arlington, VA · On-site

$110K - $160K/yr

Machine learning experience using visual data * Understanding of a variety of machine learning ... Experience curating quality, real-world datasets for training deep learning models * Proficiency in ...

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Machine Learning Qa information

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$44

$63

How much do machine learning qa jobs pay per hour?

As of Jul 28, 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.

Will MLE be replaced by AI?

Machine Learning Engineers (MLEs) design, develop, and maintain AI and machine learning systems. While AI automation tools can handle certain tasks, MLEs are essential for creating, tuning, and deploying complex models, making complete replacement unlikely in the near term. MLEs also need skills in programming, data analysis, and understanding of algorithms to adapt to evolving AI technologies.

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 and automation are increasingly used in quality assurance roles, especially for repetitive testing tasks, but they complement rather than replace QA jobs. Skilled QA professionals who focus on test design, analysis, and complex problem-solving remain essential, and knowledge of automation tools like Selenium or TestComplete enhances employability.

What engineer makes $500,000 a year?

Senior machine learning engineers with extensive experience, advanced skills in deep learning and data modeling, and working at large tech companies or in specialized industries can earn salaries around $500,000 annually. Compensation often includes base salary, bonuses, and stock options, especially in high-demand markets.

What is a $900000 AI job?

A $900,000 AI job typically refers to a high-level position in artificial intelligence, such as a senior machine learning engineer or AI director, with a compensation package that includes salary, bonuses, and stock options reaching or exceeding that amount annually. These roles often require advanced skills in machine learning, deep learning, data analysis, and experience with tools like TensorFlow or PyTorch, along with a strong educational background and industry experience.

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 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.

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 July 2026, with employment types broken down into 1% As Needed, 72% Full Time, 24% Part Time, 1% Temporary, and 2% Contract. Highlights an 88% Physical, 2% Hybrid, and 10% Remote job distribution, with an average salary of $92,537 per year, or $44.5 per hour.
New College Grad - Semiconductor Quality Assurance Engineer

New College Grad - Semiconductor Quality Assurance Engineer

Micron Technology

Manassas, VA • On-site

Full-time

Medical, Dental, Vision, PTO

Posted 2 days ago

Micron Technology rating

8.8

Company rating: 8.8 out of 10

Based on 42 frontline employees who took The Breakroom Quiz

14th of 156 rated electronics manufacturers

Job description

Our vision is to transform how the world uses information to enrich life for all.
Micron Technology is a world leader in innovating memory and storage solutions that accelerate the transformation of information into intelligence, inspiring the world to learn, communicate and advance faster than ever.
As a Front-End Central Quality Assurance (FECTQA) Engineer, you will play a critical role in supporting product containment, risk assessment, and disposition of deviated material in the fabrication facility. You will collaborate extensively with process and product engineering, quality teams, and global partners to ensure the highest standards of quality and reliability. This role also will be focused on developing Web APIs to deploy AI and Machine Learning models in the Semiconductor environment. And lastly, this role supports the transfer and qualification of new products into the VA fab and contributes to the development of advanced quality systems and predictive analytics.
Responsibilities:
  • Communicate with Global Quality (GQ) engineers and probe production teams to release QRA material holds.
  • Use data analysis tools to extract and analyze hold data, recommend and complete disposition strategies.
  • Identify and contain non-conforming wafers and assess risk to outgoing product quality.
  • Lead or support global projects to deploy and enhance quality systems and business processes.
  • Support central QA system setup for new Micron facilities, including ID1 Boise.
  • Drive and implement new Statistical Bin Limit (SBL) and Part Average Testing (PAT) strategies.
  • Develop QA dashboards and automated reports using R, Python, or Tableau, and build machine learning models and interactive web API dashboards to predict wafer/die-level quality.
  • Automate product disposition and QRA risk assessment reporting.

Minimum Qualifications:
  • Bachelor's or Master's Degree in Electrical/Electronics, Materials Science, Physics, or Microelectronics Engineering.
  • Basic coursework or understanding of semiconductor device physics and semiconductor manufacturing process flows.
  • Basic coursework or understanding of CMOS operation and reliability failure models, and basic understanding of reliability of DRAM or FLASH memory devices.
  • Basic coursework or understanding in statistics, probability theory, and machine learning.

Preferred Qualifications:
  • Technical skills using Python for Data Analysis, Visualization, and Machine Learning.
  • Exceptional oral and verbal communication skills and ability to innovate and collaborate in a team environment.
  • Semiconductor internship experience

As a world leader in the semiconductor industry, Micron is dedicated to your personal wellbeing and professional growth. Micron benefits are designed to help you stay well, provide peace of mind and help you prepare for the future. We offer a choice of medical, dental and vision plans in all locations enabling team members to select the plans that best meet their family healthcare needs and budget. Micron also provides benefit programs that help protect your income if you are unable to work due to illness or injury, and paid family leave. Additionally, Micron benefits include a robust paid time-off program and paid holidays. For additional information regarding the Benefit programs available, please see the Benefits Guide posted on micron.com/careers/benefits.
Micron is proud to be an equal opportunity workplace and is an affirmative action employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, age, national origin, citizenship status, disability, protected veteran status, gender identity or any other factor protected by applicable federal, state, or local laws.
To learn about your right to work click here.
To learn more about Micron, please visit micron.com/careers
For US Sites Only: To request assistance with the application process and/or for reasonable accommodations, please contact Micron's People Organization at hrsupport_na@micron.com or 1-800-336-8918 (select option #3)
Micron Prohibits the use of child labor and complies with all applicable laws, rules, regulations, and other international and industry labor standards.
Micron does not charge candidates any recruitment fees or unlawfully collect any other payment from candidates as consideration for their employment with Micron.
AI alert: Candidates are encouraged to use AI tools to enhance their resume and/or application materials. However, all information provided must be accurate and reflect the candidate's true skills and experiences. Misuse of AI to fabricate or misrepresent qualifications will result in immediate disqualification.
Fraud alert: Micron advises job seekers to be cautious of unsolicited job offers and to verify the authenticity of any communication claiming to be from Micron by checking the official Micron careers website in the About Micron Technology, Inc.

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