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Machine Learning Qa Jobs in California (NOW HIRING)

Zoox

Senior Enterprise QA Engineer

Foster City, CA · On-site

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 ...

Machina Labs

Machine Learning Engineer

Chatsworth, CA

$160K - $190K/yr

Write clean, well-documented, and production-quality Python code. * Communicate findings, results, and recommendations to both technical and non-technical stakeholders. Required Background ...

MM International

Machine Learning Engineer

Fremont, CA · On-site

Machine Learning Engineer Location: Fremont, CA once the documents are verified, a Codility ... You will collaborate closely with partners in production, process, controls, and quality to deliver ...

Machina Labs

Machine Learning Engineer

Chatsworth, CA · On-site

$160K - $190K/yr

We are looking for a Machine Learning Engineer to join our team and help us push the boundaries of ... Write clean, well-documented, and production-quality Python code. * Communicate findings, results ...

Winaxis

Machine Learning Engineer

Fremont, CA · On-site

Machine Learning Engineer Location: Fremont, CA (Local) Onsite interview Duration: 12+ Mos H1B Only ... You will collaborate closely with partners in production, process, controls, and quality to deliver ...

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 ...

ARROWCORE GROUP

Machine Learning Engineer

Fremont, CA

Machine Learning Engineer Location: Fremont, CA Duration: 12+ Mos Note - Onsite Interviews About ... You will collaborate closely with partners in production, process, controls, and quality to deliver ...

Apple

Machine Learning Engineer

Cupertino, CA · On-site

As a Machine Learning Engineer, you will design and build cutting-edge AI/ML systems that drive ... Familiarity with LLM evaluation practices including output quality assessment, hallucination ...

Hive

Machine Learning Manager

San Francisco, CA · On-site

$180K - $250K/yr

Machine Learning Manager In order to execute our vision, we're constantly growing our machine ... quality metrics are achieved * Implement and manage security protocols such as training, code ...

Encore Industries

QA Inspector

San Jose, CA · On-site

ENCORE PAYS TOP PAY FOR TOP EMPLOYEES Inspector Sheet Metal/Machining In Process QA Inspector Job Summary: Full Time Employee Days Mon-Fri Experience * 5 -7 Years Experience. * Manufacturing In ...

Hive

Machine Learning Manager

San Francisco, CA · On-site

$180K - $250K/yr

Machine Learning Manager In order to execute our vision, we're constantly growing our machine ... quality metrics are achieved * Implement and manage security protocols such as training, code ...

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Machine Learning Qa information

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$14

$44

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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.

Senior Enterprise QA Engineer

Zoox

Foster City, CA • On-site

Full-time

This job post has expired today. Applications are no longer accepted.

Job description

We are seeking an experienced Senior Enterprise QA Engineer with 8+ years of expertise in software quality assurance, test strategy, and enterprise application testing. The ideal candidate will lead end-to-end testing initiatives, manage QA teams, define automation frameworks, and ensure high-quality delivery across complex enterprise systems and digital transformation programs.
In This Role, You Will...
  • Lead enterprise-wide testing programs for web, mobile, API, cloud, and enterprise applications.
  • Define and implement enterprise QA strategies, test plans, testing standards, and governance frameworks.
  • Manage functional, integration, system, regression, UAT, automation, and performance testing activities.
  • Develop and maintain automated regression test suites for continuous validation and release readiness.
  • Lead performance, load, stress, endurance, and scalability testing initiatives.
  • Collaborate with business stakeholders, product owners, architects, developers, and DevOps teams.
  • Support CI/CD integration and shift-left testing practices.
  • Establish QA metrics, dashboards, defect management processes, and quality reporting standards.
  • Identify testing risks, dependencies, bottlenecks, and mitigation strategies.
  • Mentor QA engineers and coordinate offshore/onshore testing teams and vendor partners.
  • Ensure production readiness and support release management activities.
Qualifications
  • Bachelor’s degree in Computer Science, Engineering, or related field
  • 8+ years of experience in Software Testing / Quality Assurance
  • Strong experience in enterprise application testing and QA leadership
  • Hands-on experience with Test Automation Tools like Selenium, Worksoft along with Performance testing tools like Loadrunner, Tricentis
  • Experience testing integrations with SAP, Oracle, Salesforce, or other enterprise platforms
  • Knowledge of cloud platforms such as AWS, Azure, or GCP
Bonus Qualifications
  • Performance testing certifications preferred
  • Experience with AI-driven testing and quality engineering practices
  • Experience with CI/CD tools like Jenkins, GitHub Actions
Base Salary Range
 
There are three major components to compensation for this position: salary, Amazon Restricted Stock Units (RSUs), and Zoox Stock Appreciation Rights. A sign-on bonus may be offered as part of the compensation package. The listed range applies only to the base salary. Compensation will vary based on geographic location and level. Leveling, as well as positioning within a level, is determined by a range of factors, including, but not limited to, a candidate's relevant years of experience, domain knowledge, and interview performance. The salary range listed in this posting is representative of the range of levels Zoox is considering for this position.
 
Zoox also offers a comprehensive package of benefits, including paid time off (e.g. sick leave, vacation, bereavement), unpaid time off, Zoox Stock Appreciation Rights, Amazon RSUs, health insurance, long-term care insurance, long-term and short-term disability insurance, and life insurance.
About Zoox
Zoox is developing the first ground-up, fully autonomous vehicle fleet and the supporting ecosystem required to bring this technology to market. Sitting at the intersection of robotics, machine learning, and design, Zoox aims to provide the next generation of mobility-as-a-service in urban environments. We’re looking for top talent that shares our passion and wants to be part of a fast-moving and highly execution-oriented team.

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Accommodations
If you need an accommodation to participate in the application or interview process please reach out to accommodations@zoox.com or your assigned recruiter.

A Final Note:
You do not need to match every listed expectation to apply for this position. Here at Zoox, we know that diverse perspectives foster the innovation we need to be successful, and we are committed to building a team that encompasses a variety of backgrounds, experiences, and skills.

We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.