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Machine Learning Qa Jobs in California (NOW HIRING)

Medium

$160 - $190/hr

We are looking for a Machine Learning Engineer to join our team and help us push the boundaries of ... Identify, collect, clean, and organize data from diverse sources to construct high-quality datasets ...

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 ...

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 ...

LLNL

Machine Learning (ML) Bioengineer

Livermore, CA · On-site

Establish, implement, and maintain quality standards for project deliverables. * Contribute to ... Master's degree in Machine Learning, Computational Biology, Statistics, Computer Science ...

LLNL

Machine Learning (ML) Bioengineer

Livermore, CA · On-site

Establish, implement, and maintain quality standards for project deliverables. * Contribute to ... Master's degree in Machine Learning, Computational Biology, Statistics, Computer Science ...

LLNL

Machine Learning (ML) Bioengineer

Livermore, CA · On-site

$9.7K/wk

Establish, implement, and maintain quality standards for project deliverables. * Contribute to ... Master's degree in Machine Learning, Computational Biology, Statistics, Computer Science ...

shefsolutionsllc

Machine Learning Engineer

Cupertino, CA · On-site

$143 - $264/hr

... us to create high-quality and impactful datasets. As part of this role, you will explore and ... D/MS degree in Machine Learning, Natural Language Processing, Computer Vision, Data Science ...

Atoms

Senior Machine Learning Engineer

San Francisco, CA · On-site

$144K - $190K/yr

... QA teams to run model releases through rigorous simulated scenarios, detecting regressions and ... • Strong background in machine learning engineering with a focus on model optimization ...

Atoms

Senior Machine Learning Engineer

San Francisco, CA · On-site

$144K - $190K/yr

... QA teams to run model releases through rigorous simulated scenarios, detecting regressions and ... • Strong background in machine learning engineering with a focus on model optimization ...

Atoms

Senior Machine Learning Engineer

San Francisco, CA · On-site

$144K - $190K/yr

... QA teams to run model releases through rigorous simulated scenarios, detecting regressions and ... • Strong background in machine learning engineering with a focus on model optimization ...

Articul8

Machine Learning Engineer

Dublin, CA · On-site

$90 - $130/hr

You will own all work related to acquiring high-quality data to power the training of our domain ... Experience in machine learning projects in text or vision, e.g., has trained machine learning ...

Plenful

Quality Assurance Engineer

San Francisco, CA · On-site

About the Role We're looking for a midlevel or Senior QA Engineer who's passionate about quality ... machine learning-enabled applications - Have worked with healthcare software or in regulated ...

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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 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:

Machine Learning Qa jobs near you
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

Medium

On-site

$160 - $190/hr

Other

Posted 13 days ago

Job description

Job Description:

We are looking for a Machine Learning Engineer to join our team and help us push the boundaries of what’s possible in smart manufacturing. In this role, you will design, build, train, and deploy machine learning models that power our robotic sheet metal forming systems. You’ll work closely with our engineering team to transform raw data into actionable intelligence, enabling our robots to produce parts with greater precision, speed, and adaptability.

This is a hands‑on role for someone who thrives at the intersection of research and production, someone who is just as comfortable wrangling messy datasets as they are architecting scalable ML pipelines. If you’re passionate about applying machine learning to real‑world manufacturing challenges, we’d love to hear from you.

Key Responsibilities:
  • Design, build, train, evaluate, and deploy machine learning models to support and improve our robotic manufacturing processes.
  • Identify, collect, clean, and organize data from diverse sources to construct high-quality datasets for model training and evaluation.
  • Develop and maintain scalable ML pipelines and infrastructure using cloud platforms, with a focus on Azure.
  • Leverage Databricks and Apache Spark for large‑scale data processing and model development.
  • Collaborate with cross‑functional teams, including robotics, software, and manufacturing engineers to integrate ML solutions into production workflows.
  • Stay current with the latest developments in machine learning and AI and evaluate their applicability to our manufacturing challenges.
  • Write clean, well‑documented, and production‑quality Python code.
  • Communicate findings, results, and recommendations to both technical and non‑technical stakeholders.
Required Background & Experience:
  • Master’s degree in Computer Science, Machine Learning, Artificial Intelligence, or a closely related field with 6+ years of hands‑on experience in machine learning and AI; or a Ph.D. in a relevant field with 3+ years of experience.
  • Strong experience designing, building, training, and testing machine learning models end‑to‑end.
  • Proven ability to work with raw, unstructured, or incomplete data, including data collection, cleaning, labeling, and dataset construction.
  • Proficiency in Python for ML development, data processing, and scripting.
  • Familiarity with cloud computing frameworks and services, with a preference for Microsoft Azure.
  • Experience with Databricks and Apache Spark for data engineering and model development.
Preferred Qualifications:
  • Machine learning experience in CAD and computational geometry applications.
  • Experience working in the industrial or manufacturing space.
  • Experience with robotics, including robotic perception, control, or planning.

*This job description is not designed to cover or contain a comprehensive listing of activities, duties, or responsibilities required for this role. Duties and responsibilities may change based on business needs.

$160,000 - $190,000 a year

The base salary range for this role is dependent on experience, qualifications, and overall alignment with the scope of the position.

In addition to base compensation, Machina Labs offers a competitive benefits package and stock option participation.

Machina Labs is an affirmative action and equal employment opportunity employer and considers all applicants for employment without regard to race, color, religion, sex, gender identity, gender expression, sexual orientation, national origin, age, disability, or status as a protected veteran in accordance with state and federal law.

We endeavor to make the job application process accessible to any and all users. If you have a disability that impacts your ability to complete the job application process and would like to request assistance or a reasonable accommodation, please contact us at (888)444‑9777. This contact information is for accommodation requests only, not to inquire about the status of applications.

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