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Machine Learning Testing Jobs in California (NOW HIRING)

XPENG

Staff Machine Learning Engineer

Santa Clara, CA · On-site

About the Role We are looking for a strong Machine Learning Engineer / Computer Vision Engineer to ... Strong engineering discipline in experiment tracking, reproducibility, regression testing, and ...

XPENG

Staff Machine Learning Engineer

Santa Clara, CA · On-site

About the Role We are looking for a strong Machine Learning Engineer / Computer Vision Engineer to ... Strong engineering discipline in experiment tracking, reproducibility, regression testing, and ...

Plenful

Machine Learning Engineer

San Francisco, CA · On-site

About the Role We're looking for a Machine Learning Engineer to design, build, and deploy ... You have a strong grasp of software engineering fundamentals - testing, version control, and CI/CD

Firecrawl

Machine Learning Engineer

San Francisco, CA · On-site

$210K - $240K/yr

Machine Learning Engineer You'll build the ML behind Firecrawl - the models and the systems that ... A/B testing launches and building the experimentation frameworks the whole team ships against. If ...

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General Atomics

Machine Learning Engineer IV

Poway, CA · On-site

$140K - $252K/yr

... machine learning platforms and processes, and ensuring excellence across our AI/ML initiatives ... Automate model deployment, testing, monitoring, and scaling. * Integrate into approved change ...

Leidos

Senior Machine Learning Engineer

Vista, CA · On-site

$107K - $195K/yr

We are seeking a Senior Machine Learning Engineer to work on MLOPS that support the testing, and release of object detection algorithms for our portfolio of products that help safeguard the flow of ...

Leidos

Senior Machine Learning Engineer

Vista, CA · On-site

$107K - $195K/yr

We are seeking a Senior Machine Learning Engineer to work on MLOPS that support the testing, and release of object detection algorithms for our portfolio of products that help safeguard the flow of ...

Jobzhr

Machine Learning Engineer

San Francisco, CA · On-site

$130 - $200/hr

About the Role We are seeking a Machine Learning Engineer to design, build, and evaluate advanced ... Experience with adversarial evaluations, robustness testing, or AI safety. * Experience with ...

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How much do machine learning testing jobs pay per hour?

As of Aug 23, 2026, the average hourly pay for machine learning testing in California is $22.52, according to ZipRecruiter salary data. Most workers in this role earn between $19.47 and $25.14 per hour, depending on experience, location, and employer.

What is a machine learning testing?

A Machine Learning Testing job involves evaluating and validating machine learning models to ensure they function correctly, efficiently, and ethically. This includes testing for accuracy, reliability, bias, and performance under different conditions. Professionals in this role employ techniques such as unit testing, integration testing, data validation, and model performance monitoring. They also work closely with data scientists and engineers to debug issues and improve model robustness. The goal is to ensure that machine learning systems perform as expected and meet business or regulatory requirements.

What are the typical challenges faced by professionals in machine learning testing roles?

Professionals in Machine Learning Testing often encounter challenges such as dealing with non-deterministic model outputs, insufficient or imbalanced datasets, and unclear or evolving testing criteria. They may need to work closely with data scientists and engineers to develop robust test cases and validation methods tailored for dynamic machine learning systems. Staying updated on advancements in testing methodologies and tools is also important, as the field evolves rapidly. Successfully overcoming these challenges leads to higher quality models and more reliable AI solutions for end users.

What are the key skills and qualifications needed to thrive in machine learning testing, and why are they important?

To excel in Machine Learning Testing, you need a solid understanding of machine learning concepts, data analysis, and programming skills in languages like Python, as well as a background in quality assurance or software testing. Familiarity with frameworks such as TensorFlow, PyTorch, automated testing tools, and relevant certifications like ISTQB are highly beneficial. Strong attention to detail, analytical thinking, and effective communication skills help testers identify issues and collaborate with data scientists and developers. These competencies are essential to ensure the reliability, fairness, and accuracy of machine learning models deployed in production environments.

How do I become a machine learning testing?

To become a machine learning testing professional, you typically need a strong background in computer science, programming skills in languages like Python or Java, and knowledge of machine learning frameworks such as TensorFlow or PyTorch. Gaining experience with data analysis, model evaluation, and testing methodologies, along with relevant certifications or training, can improve your qualifications for this role.

What are popular job titles related to Machine Learning Testing jobs in California?

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

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

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

Machine Learning Testing jobs near you
Infographic showing various Machine Learning Testing 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 $46,846 per year, or $22.5 per hour.

Distributed Machine Learning Engineer

MBZUAI (Mohamed bin Zayed University of Artificial Intelligence)

Sunnyvale, CA • On-site

Full-time

Re-posted 21 days ago

Job description

Job Summary:
MBZUAI is a dedicated research lab focused on advancing research in foundation models. The Distributed ML Engineer will optimize performance for machine learning software stacks, engage in developing cutting-edge systems, and contribute to the institution's mission of driving impactful discoveries in AI.
Responsibilities:
• Understand, analyze, profile, optimize, and provide guidance to the team on deep learning workloads on state-of-the-art hardware and software platforms to improve their efficiency with different levels of optimization
• Design and implement performance benchmarks and testing methodologies to evaluate application performance
• Build tools to automate workload analysis, workload optimization, and other critical workflows
• Triage system issues and identify bottleneck and inefficiencies by analyzing the sources of issues and the impact on hardware, network and propose solutions to enhance GPU utilization
• Support the team to develop appropriate kernels and systems for new model architectures and algorithms
• Participate in, or lead design reviews with peers and stakeholders to decide amongst available technologies.
• Review code developed by other developers and provide feedback to ensure best practices (e.g., style guidelines, checking code in, accuracy, testability, and efficiency).
• Contribute to existing documentation or educational content and adapt content based on product/program updates and user feedback.
• Represent MBZUAI at industry conferences and events, showcasing the institution’s cutting-edge HPC and deep learning capabilities and establishing MBZUAI as a global leader in AI research and innovation.
• Perform all other duties as reasonably directed by the line manager that are commensurate with these functional objectives.
Qualifications:
Required:
• Ph.D. in CS, EE or CSEE with 1+ years working experience
• Masters in CS, EE or CSEE or equivalent experience with 2+ year working experience
• Strong background in parallel computing
• Hands-on experience in system level coding
• Debug methodologies
• Large-scale machine learning experience
Company:
Official account of Mohamed bin Zayed University of Artificial Intelligence. Dedicated to research, innovation, and empowering brilliant minds in AI. Founded in 2019, the company is headquartered in Abu Dhabi, ARE, with a team of 51-200 employees. The company is currently Growth Stage.

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