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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 ...

We are seeking a Machine Learning Engineer to join our team developing machine learning solutions for quality assurance and process monitoring in additive manufacturing. Working closely with process ...

Machine Learning Engineer

Fremont, CA · On-site

$150K - $220K/yr

We are seeking a Machine Learning Engineer to join our team developing machine learning solutions for quality assurance and process monitoring in additive manufacturing. Working closely with process ...

Machine Learning Engineer

Fremont, CA · On-site

$150K - $220K/yr

We are seeking a Machine Learning Engineer to join our team developing machine learning solutions for quality assurance and process monitoring in additive manufacturing. Working closely with process ...

Machine Learning Engineer

Sunnyvale, CA · On-site

$150.40 - $277.60/hr

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 ...

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 ...

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 Opportunity As a Machine Learning Engineer, you'll work on multimodal perception, VLA training ... Build systems for multimodal perception, annotation, dataset QA, and robotics evaluation * Publish ...

Sr. Engineer, Machine Learning

Redwood City, CA · On-site

$127K - $175K/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 ...

Quality Assurance Manager

Vista, CA · On-site

$90K - $125K/yr

We are a fast pace, large CNC machine shop looking for a Quality Assurance Manager 25+ Fanuc controlled vertical mills 16+ controlled horizontal mills 10+ CNC lathes with Fanuc controls 10+ Brother ...

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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 Aug 18, 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

Apple

Sunnyvale, CA • On-site

Full-time

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

Our team delivers algorithms that power Apple Vision Pro's Eyesight, Persona and other VisionOS technologies. In this position, you will be part of our extraordinary team of Computer Graphics, Computer Vision and Deep Learning researchers and engineers to discover and build solutions to previously-unsolved challenges in human representation and motion impacting millions of users.
Description
Apple's Video Computer Vision (VCV) Face and Body technologies team is looking for a skilled Machine Learning Engineer with experience developing ML models for computer vision and graphics applications. We are actively involved in the whole ML cycle from data collection design and data processing to model design and experiments to validation and QA in the wild. We perform applied research development to adapt state-of-the-art methods or implement new methods to ship features on visionOS and iOS platforms. In this role, you will work closely with other ML engineers as well as data and software engineers both internally and multi-functionally.
Minimum Qualifications
Software engineering skills and proficiency in Python
Experience with PyTorch
Independent problem solving skills
BS degree and 10+ years of experience
Preferred Qualifications
Passion for delivering high quality features to large groups of diverse end-users
Excellent communication and experience working with multi-functional teams
Self-motivated with proven track record to optimally prioritize and deliver tasks on schedule
MS degree in computer vision, computer graphics, machine learning or related field
PhD in computer vision, computer graphics, machine learning, computer science, computer engineering or related fields.

What Apple employees say

Pay

Benefits

Hours and flexibility

Workplace

Get the full story on Breakroom


Apple logo

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