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Machine Learning Qa Jobs (NOW HIRING)

... Machine Learning (ML), Risk Assessments, Selenium, Technical Knowledge Competencies Accuracy and ... Quality Assurance And Testing Work Experience Roles at this level typically require a university ...

... Machine Learning (ML), Risk Assessments, Selenium, Technical Knowledge Competencies Accuracy and ... Quality Assurance And Testing Work Experience Roles at this level typically require a university ...

... Machine Learning (ML), Risk Assessments, Selenium, Technical Knowledge Competencies Accuracy and ... Quality Assurance And Testing Work Experience Roles at this level typically require a university ...

Senior Machine Learning Test Engineer

New York, NY · On-site +1

$120K - $157K/yr

Job Requisition ID # 26WD98377 Senior Machine Learning Test Engineer Location: United States East ... Automate ML QA workflows using Python and CI/CD (e.g., GitHub Actions, Jenkins) * Create and ...

$106K - $138K/yr

Job Requisition ID # 26WD98377 Senior Machine Learning Test Engineer Location: United States East ... Automate ML QA workflows using Python and CI/CD (e.g., GitHub Actions, Jenkins) * Create and ...

Senior Machine Learning Test Engineer

Ohio, IL · On-site +1

$104K - $135K/yr

Job Requisition ID # 26WD98377 Senior Machine Learning Test Engineer Location: United States East ... Automate ML QA workflows using Python and CI/CD (e.g., GitHub Actions, Jenkins) * Create and ...

Senior Machine Learning Test Engineer

Atlanta, GA · On-site +1

$106K - $138K/yr

Job Requisition ID # 26WD98377 Senior Machine Learning Test Engineer Location: United States East ... Automate ML QA workflows using Python and CI/CD (e.g., GitHub Actions, Jenkins) * Create and ...

Senior Machine Learning Test Engineer

Novi, MI · On-site +1

$103K - $134K/yr

Job Requisition ID # 26WD98377 Senior Machine Learning Test Engineer Location: United States East ... Automate ML QA workflows using Python and CI/CD (e.g., GitHub Actions, Jenkins) * Create and ...

$118K - $153K/yr

Job Requisition ID # 26WD98377 Senior Machine Learning Test Engineer Location: United States East ... Automate ML QA workflows using Python and CI/CD (e.g., GitHub Actions, Jenkins) * Create and ...

$107K - $139K/yr

Job Requisition ID # 26WD98377 Senior Machine Learning Test Engineer Location: United States East ... Automate ML QA workflows using Python and CI/CD (e.g., GitHub Actions, Jenkins) * Create and ...

We are seeking an early-career Machine Learning Engineer who is excited to grow rapidly by building ... Collaborate with cross-functional partners including product, data engineering, DevOps & QA to ...

Senior Machine Learning Test Engineer

Boston, MA · On-site +1

$120K - $155K/yr

Job Requisition ID # 26WD98377 Senior Machine Learning Test Engineer Location: United States East ... Automate ML QA workflows using Python and CI/CD (e.g., GitHub Actions, Jenkins) * Create and ...

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Machine Learning Qa information

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$15

$44

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How much do machine learning qa jobs pay per hour?

As of Jul 7, 2026, the average hourly pay for machine learning qa in the United States is $44.87, according to ZipRecruiter salary data. Most workers in this role earn between $36.54 and $54.57 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.

More about Machine Learning Qa jobs
What cities are hiring for Machine Learning Qa jobs? Cities with the most Machine Learning Qa job openings:
What are the most commonly searched types of Machine Learning Qa jobs? The most popular types of Machine Learning Qa jobs are:
What states have the most Machine Learning Qa jobs? States with the most job openings for Machine Learning Qa jobs include:
What job categories do people searching Machine Learning Qa jobs look for? The top searched job categories for Machine Learning Qa jobs are:
Infographic showing various Machine Learning Qa job openings in the United States as of July 2026, with employment types broken down into 1% As Needed, 74% Full Time, 23% Part Time, 1% Temporary, and 1% Contract. Highlights an 89% Physical, 1% Hybrid, and 10% Remote job distribution, with an average salary of $93,338 per year, or $44.9 per hour.
Senior Manager of Quality Assurance, AIML Data Operations

Senior Manager of Quality Assurance, AIML Data Operations

Apple

Cupertino, CA • On-site

Full-time

Re-posted 23 days ago


Apple rating

8.1

Company rating: 8.1 out of 10

Based on 667 frontline employees who took The Breakroom Quiz

5th of 30 rated technology retailers


Job description

Imagine what you could do here. At Apple, great ideas have a way of becoming great products, services, and customer experiences - quickly.
The AIML team is looking for a passionate, detail-obsessed Senior Manager of Quality Assurance to lead the QA function within our Data Annotation operations. This is a rare opportunity to directly shape the quality standards that underpin the intelligent systems used by hundreds of millions of people every day.
You will lead a team of QA professionals, define and defend data quality standards, and champion a culture of rigorous, scalable quality assurance across global annotation workflows. If you thrive at the intersection of operational excellence, data quality, and cross-functional leadership - this role was built for you.
Description
As Senior Manager of QA for Data Annotation, you will own the end-to-end quality assurance strategy for annotation pipelines that feed directly into Apple's AI and machine learning models. You will partner closely with Data Science, Engineering, and Operations leadership to ensure that data quality is not an afterthought - it is a foundation.
You will manage and develop a team of QA specialists and leads, set clear quality metrics, and build scalable processes that grow with our annotation programs. Your decisions will have measurable, real-world impact on the performance of Apple Intelligence products.
Minimum Qualifications
Bachelor's degree in a relevant field (Computer Science, Linguistics, Data Science, Operations, or equivalent)
8+ years of experience in quality assurance, data operations, or a related field
10+ years of people management experience leading QA or data operations teams
Demonstrated experience defining and operating QA programs for data annotation or content labeling at scale
Solid understanding of AIML concepts, with practical knowledge of how data quality affects model performance
Strong analytical skills with experience using data to measure, communicate, and drive quality improvements
Professional fluency in English; excellent written and verbal communication skills across all levels of an organization
Ability to travel internationally when required
Preferred Qualifications
Master's degree or advanced certification in a relevant discipline
Experience with annotation platforms and QA tooling (e.g., Label Studio, Scale AI, Surge, Toloka, or similar)
Familiarity with inter-annotator agreement methodologies (Cohen's Kappa, Krippendorff's Alpha, etc.)
Experience managing QA for multilingual or multimodal annotation datasets
Track record of building or scaling QA programs in a globally distributed, vendor-augmented operating model
Passion for Apple Intelligence products and a deep appreciation for the role of data quality in user experience
Experience with statistical sampling techniques and quality auditing frameworks
Familiarity with RLHF (Reinforcement Learning from Human Feedback) data workflows

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About Apple

Sourced by ZipRecruiter

Imagine what you could do here! At Apple, new ideas have a way of becoming extraordinary products, services, and customer experiences very quickly. Bring passion and dedication to your job and there's no telling what you could accomplish. Dynamic, intelligent people and inspiring, innovative technologies are the norm here. The people who work here have reinvented entire industries with all Apple Hardware products. The same real passion for innovation that goes into our products also applies to our practices strengthening our dedication to leave the world better than we found it.

Industry

Computer and electronic product manufacturing

Company size

10,000+ Employees

Headquarters location

Cupertino, CA, US

Year founded

1976