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Machine Learning Qa Jobs in California (NOW HIRING)

... QA in the wild. We perform applied research development to adapt state-of-the-art methods or ... machine learning, computer science, computer engineering or related fields.

... 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 ...

Job Summary : Syntricate Technologies is looking for a Machine Learning expert with a strong ... Syntricate Technologies offers quality assurance, validation, regulatory, business analysis, and ...

Machine Learning Engineer

Sunnyvale, CA · On-site

$150K - $277K/yr

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 ...

... 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 ...

... 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 ...

Do you believe Machine Learning and AI can change how people experience technology? We truly ... We are looking for a talented individual to drive data quality assurance for the ML features we ...

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 ...

The Quality Assurance Associate must demonstrate a high level of individual responsibility and ... machine learning. The company's platform is already delivering unprecedented insights into the ...

The Quality Assurance Associate must demonstrate a high level of individual responsibility and ... machine learning. The company's platform is already delivering unprecedented insights into the ...

Quality Assurance Associate

Redwood City, CA · On-site

$41.47 - $62.21/hr

The Quality Assurance Associate must demonstrate a high level of individual responsibility and ... machine learning. The company's platform is already delivering unprecedented insights into the ...

... model quality Strong programming skills and hands-on experience using one or more deep learning frameworks, such as PyTorch, TensorFlow, or JAX Experience building large-scale machine learning ...

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Machine Learning Qa information

See California salary details

$14

$44

$63

How much do machine learning qa jobs pay per hour?

As of Sep 10, 2026, the average hourly pay for machine learning qa in California is $44.29, according to ZipRecruiter salary data. Most workers in this role earn between $36.06 and $53.85 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 California?

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

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

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

What cities in California are hiring for Machine Learning Qa jobs?

Cities in California with the most Machine Learning Qa job openings:

Infographic showing various Machine Learning Qa job openings in California as of August 2026, with employment types broken down into 1% As Needed, 80% Full Time, 18% Part Time, and 1% Contract. Highlights an 87% Physical, 2% Hybrid, and 11% Remote job distribution, with an average salary of $92,115 per year, or $44.3 per hour.

Machine Learning Engineer, Software QA - Creativity Apps

San Diego, CA • On-site

Apple
Computer and Electronic Product Manufacturing • 10K+ employees

Full-time

Posted 17 days ago


Apple rating

8.1

Company rating: 8.1 out of 10

Based on 684 frontline employees who took The Breakroom Quiz

6th of 30 rated technology retailers


Job description

Imagine what you could do here. At Apple, new ideas have a way of becoming outstanding products, services, and customer experiences very quickly. Bring passion and dedication to your job and there's no telling what you could accomplish.
The Creativity Apps QA team is seeking a Software QA Engineer, Machine Learning to help us ensure that our iOS and macOS creativity applications are high-quality. We're looking for an engineer to take projects from defining evaluation strategy, evaluation scripting and automation, leading all stages of testing, triaging and driving issues to resolution, and ensuring high quality models are integrated into our Apps' clients through rigorous testing methodologies. You will have the unique and rewarding opportunity to help shape upcoming products that will delight and inspire millions of Apple's customers every day.
Description
This position requires a self-motivated individual with strong technical, problem solving and communication skills, and the willingness to work in a sophisticated environment. Responsibilities include scripting, parsing data, and working closely with the annotation operations team. Analyzing annotations and test results to ensure the features work end-to-end for customers. Developing and implementing workflow projects, regression testing, and bug filing. You will work closely with other team members to develop requirements, identify appropriate testing implementations processes, and methodologies. You should be able to be comfortable with ambiguity and make educated, critical judgments. You must be effective and systematic at managing priorities, and communicating progress as well as risk through regular status updates. Have a proven ability to ramp up quickly on both existing and new technologies.
Minimum Qualifications
At least 5 years industry experience ideally in quality assurance with a prior focus in Machine Learning.
Strong comprehension of machine learning algorithms, supervised and unsupervised modeling techniques.
Understand of the mechanics of machine learning, deep learning, computer vision, natural language processing, and generative AI.
Proficient in Python and/or Swift or comparable languages.
Preparing and collecting data for evaluation and ensuring data quality.
Meticulous, analytical, methodical and creative problem solving ability with a commitment to driving quality forward.
Detail-oriented, analytical, methodical and creative thinker committed to driving quality forward.
Prototyping and tools development experience.
Strong presentation skills and ability to adapt technical presentation to various audiences.
Proficiency in utilizing LLMs and Generative AI frameworks to automate model evaluation processes, optimize test execution times, and improve evaluation accuracy and efficiency.
Bachelor's degree in Computer Science, Data Science, Applied Mathematics or similar, combined with an understanding of SQA methodologies, machine learning and software engineering experience.
Preferred Qualifications
Understanding of subjective/objective image and video quality evaluation, and color science concepts is a strong plus.
Understanding of SQA methodologies and practices, software engineering experience preferred.
iOS and macOS familiarity.

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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