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Machine Learning Qa Jobs in California (NOW HIRING)

Poshmark

Sr. Engineer, Machine Learning

Redwood City, CA · On-site

$151K - $214K/yr

The Machine Learning team is a central player in the Poshmark organization. Our mission is to build ... Collaborate across teams such as DS, QA, Infra and other engineering teams to productionize ML ...

Poshmark

Sr. Engineer, Machine Learning

Redwood City, CA · On-site

$151K - $214K/yr

The Machine Learning team is a central player in the Poshmark organization. Our mission is to build ... Collaborate across teams such as DS, QA, Infra and other engineering teams to productionize ML ...

RIT Solutions

Machine Learning Engineer

Fremont, CA

Machine Learning Engineer Location: Fremont, CA Duration: 12+ Months Tesla/ $65 About the Role Our ... Quality to address critical operational challenges. This position requires hands-on experience with ...

Adecco

Quality Assurance

Gardena, CA

$24 - $28/hr

Precision machining or metal fabrication * Fasteners, hardware, pins, locking mechanisms, or CNC ... quality assurance or quality inspection experience * Experience reading blueprints and GD&T ...

Yum! Brands

Associate Manager Machine Learning

Irvine, CA · Hybrid

$134K - $158K/yr

We are hiring a Manager, Machine Learning (MLE) to lead the development and operationalization of ... You will manage a team of MLEs and partner with AI Engineers, QA, and DevOps to deliver high ...

Adobe, Inc.

Machine Learning Engineer

San Jose, CA · On-site

Machine Learning Engineer The Opportunity Join Adobe and be at the forefront of driving digital ... Engage in code reviews and contribute to maintaining high-quality standards in software development

Adobe

Machine Learning Engineer

San Jose, CA · On-site

Machine Learning EngineerThe Opportunity Join Adobe and be at the forefront of driving digital ... Engage in code reviews and contribute to maintaining high-quality standards in software development

Zoox

Senior Enterprise QA Engineer

Foster City, CA · On-site

$190K - $228K/yr

We are seeking an experienced Senior Enterprise QA Engineer with 8+ years of expertise in software ... Sitting at the intersection of robotics, machine learning, and design, Zoox aims to provide the ...

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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 Jun 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 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.

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 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:
Machine Learning Qa jobs near you
Infographic showing various Machine Learning Qa job openings in California as of June 2026, with employment types broken down into 39% Full Time, 58% Part Time, and 3% Contract. Highlights an 94% Physical, 1% Hybrid, and 5% Remote job distribution, with an average salary of $92,115 per year, or $44.3 per hour.
Software Engineer - Data Center Systems Quality

Software Engineer - Data Center Systems Quality

Apple

Sunnyvale, CA • On-site

Full-time

Posted 15 days ago

Apple rating

8.1

Company rating: 8.1 out of 10

Based on 661 frontline employees who took The Breakroom Quiz

6th of 30 rated technology retailers

Job description

Do you want to pioneer the future of intelligent quality assurance for data center infrastructure that powers Apple's most ambitious services? Our Product Systems Quality organization plays a critical role in ensuring Apple delivers data center systems that are not only innovative, but exceptionally stable, reliable, and optimized for large-scale deployment. We work at the intersection of hardware and software, partnering closely with engineering teams to uncover risk early, influence design decisions, and help bring world-class data center platforms to life...Our Stability Quality team is focused on developing advanced test automation frameworks and intelligent validation tools for data center systems and rack-scale deployments. We combine machine learning capabilities with deep hardware knowledge to create scalable, automated testing solutions that support Apple's critical infrastructure. As a Software Engineer, you'll join us in building the next generation of automation tools that leverage artificial intelligence and machine learning to predict, and prevent critical hardware and software system failures...Come join our team!
As a Software Engineer on our Stability Quality team, you'll design and develop intelligent automation frameworks and tools that enhance data center system validation at scale. You'll combine machine learning capabilities with hardware-centric software testing to create next-generation solutions to find and address issues as early as possible. You'll collaborate with cross-functional engineering and QA teams to identify risks, gather insights from large volumes of test data, and build automated tests to drive system stability.
Bachelor's degree in Computer Science, Computer Engineering, or Electrical Engineering3+ years of relevant industry experience in software engineering or test automationHands-on experience with machine learning algorithms and frameworks (such as PyTorch, TensorFlow, or JAX) with demonstrated application to data center systems, hardware validation, or test automationProficiency with Python and experience building robust, scalable automation frameworks and tools for large-scale testing environmentsExperience with hardware/software validation, integration testing, or system and rack validation methodologies, including functional and stress testingProven ability to work independently and collaboratively across cross-functional engineering and QA teams
Master's or PhD in Computer Science, Computer Engineering, Data Science, Machine Learning, or equivalent advanced degreeExperience with data analysis and developing data visualizations and reporting using tools such as TableauExperience applying machine learning to anomaly detection, predictive maintenance, or test optimization in data center or hardware validation environmentsExperience with hardware bring-up, debug, and troubleshooting in data center systems, including using stress tools and benchmarks to evaluate system behavior, and developing tools that expand test coverage for data center technologies

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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