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Machine Learning Qa Jobs (NOW HIRING)

Apple Inc.

Machine Learning Engineer

Sunnyvale, CA · On-site

$150.40 - $277.60/hr

  • Medical

  • Dental

  • Retirement

Sunnyvale, California, United States -- Machine Learning and AI Our team delivers algorithms that ... validation and QA in the wild. You will perform applied research development to adapt ...

Weekday AI

QA/Test Engineer

$60 - $90/hr

We are seeking experienced QA and Test Engineers to ensure every benchmark is reliable ... Experience evaluating AI systems, machine learning models, or AI-generated outputs is preferred.

Apple

Machine Learning Engineer

Seattle, WA

$175K - $308K/yr

  • Medical

  • Dental

  • Retirement

... QA in the wild. We perform applied research development to adapt state-of-the-art methods or ... machine learning or related field PhD in computer vision, computer graphics, machine learning ...

Apple

Machine Learning Engineer

Sunnyvale, CA

$184K - $324K/yr

  • Medical

  • Dental

  • Retirement

... QA in the wild. We perform applied research development to adapt state-of-the-art methods or ... machine learning or related field PhD in computer vision, computer graphics, machine learning ...

Ntta

$58K - $76K/yr

The QA/QC Supervisor leads a team of Quality Analysts and Coordinators to ensure high service ... Ensure consistency in evaluation through calibration sessions and machine-learning-informed quality ...

SMX

Cleared Hybrid QA Tester/Engineer (5416)

Hanover, MD · On-site

$41 - $56/hr

SMX is seeking a QA Tester/Engineer to ensure the quality, reliability, and performance of ... Test and validate AI-enabled applications, machine learning integrations, and large language model ...

Apex Informatics

Machine Learning Engineer

Applied Machine Learning Engineer | Music Software (Multiple Roles open) Role: Applied Machine ... QA, A/B testing and so on. • Maintain production-ready code with considerations for how ...

Apple

Machine Learning Engineer

Sunnyvale, CA

$150K - $277K/yr

  • Medical

  • Dental

  • Retirement

... Machine Learning Engineer with experience developing ML models for computer vision and graphics ... validation and QA in the wild. You will perform applied research development to adapt ...

Poshmark

Sr. Engineer, Machine Learning

Redwood City, CA · On-site

$127K - $175K/yr

The Machine Learning team is central to Poshmark's mission to build a world-class machine learning ... DS, QA, Infra and other engineering teams to productionize ML models • Write and optimize code ...

American Equity

AVP, Quality Assurance

Des Moines, IA · On-site

Defines and advances the adoption of AI and machine learning capabilities within QA, including intelligent test generation, predictive defect analysis, and self-healing automation. * Partners with ...

Brilent

QA Engineer Intern

San Mateo, CA · On-site

The Brilent team brings together deep experience in machine learning, and data science from leading ... As a QA Engineer Intern, you will work alongside our small team of engineers to develop new ...

SMX

Cleared Hybrid QA Tester/Engineer (5416)

Hanover, MD · On-site

$40.75 - $55.50/hr

... machine learning integrations, and large language model (LLM) implementations • Develop and maintain automated test frameworks using Selenium, Playwright, TriCentis, or similar tools • Perform ...

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Machine Learning Qa information

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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 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.

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.

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Machine Learning Qa jobs near you
Infographic showing various Machine Learning Qa job openings in the United States as of August 2026, with employment types broken down into 1% As Needed, 75% Full Time, 23% Part Time, and 1% Contract. Highlights an 87% Physical, 2% Hybrid, and 11% Remote job distribution, with an average salary of $93,338 per year, or $44.9 per hour.

Senior Machine Learning Engineer, Video Quality Systems

Apple, Inc.

Cupertino, CA • On-site

$109K - $148K/yr

Other

Re-posted 25 days ago

Apple rating

8.0

Company rating: 8.0 out of 10

Based on 677 frontline employees who took The Breakroom Quiz

7th of 30 rated technology retailers

Job description

Apple's Camera ISP Algorithm team is looking for dedicated engineers to shape the future of photography and video across all Apple products. You'll work on powerful camera technology, image signal processing, and machine learning, literally defining what makes an Apple camera better. As part of the Camera ISP Algorithm team, you'll have real creative freedom to innovate and iterate quickly, interacting directly with silicon design, camera HW/SW, and QA teams. If you're a self-starter who wants to see your ideas go from concept to product, this is your chance to make an impact on how people capture life's most meaningful moments!
Description
As a Senior Machine Learning Engineer, you will tackle one of the most persistent challenges in video technology: reliably measuring perceived visual quality at scale. While human expert evaluation remains the gold standard for accuracy, it is resource-intensive and slow. Conversely, traditional automated metrics offer speed, but often fail to correlate meaningfully with human perception.
You will be an expert in designing a hybrid evaluation framework. By leveraging large-scale outsourced subjective data, you will characterize the boundaries of existing automated metrics and inject domain and "world knowledge" to apply them only where they are statistically reliable. Ultimately, your goal will be to design and tune novel, explainable metrics. We are explicitly looking for an approach grounded in first principles of signal processing and human vision, rather than relying on opaque, "black-box" machine learning models that simply output a quality score. Your work will directly accelerate our core engineering efforts by providing developers with rapid, trustworthy, and actionable feedback.
Minimum Qualifications
MS in Machine Learning, Computer Science, Applied Mathematics, or a related discipline and minimum 10 years relevant industry experience.
Demonstrated experience on Image/Video Quality Assessment (IQA/VQA), image processing, or computational vision.
Track record in statistical analysis, correlation methodologies, and data modeling.
Proficiency in algorithm architecture design and implementation.
Preferred Qualifications
PhD in Machine Learning, Computer Science, Applied Mathematics, or a related discipline.
Experience managing or scaling outsourced/crowdsourced subjective evaluation campaigns (e.g., using ITU-T standards).
Track record of developing explainable, non-black-box algorithms for image or video analysis.
Proven experience designing, conducting, and analyzing psycho-physical or psycho-visual experiments for subjective quality evaluation.
Demonstrated knowledge of the human visual system (HVS), perceptual artifacts, and traditional signal processing, evidenced through publications, coursework, or applied project work.
Working knowledge with modern video processing pipelines, compression standards, and enhancement algorithms.
Strong publication record in relevant venues (e.g., VQEG, ICIP, HVEI, SPIE) or equivalent industry patents.
Ability to translate complex perceptual phenomena into clear, actionable engineering requirements, as demonstrated through technical writing, presentations, or cross-functional collaboration.

What Apple employees say

Pay

Benefits

Hours and flexibility

Workplace

Get the full story on Breakroom

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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

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