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Machine Learning Testing Jobs in California (NOW HIRING)

Velo3D

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 ... Comfort working in a production software environment: version control, code review, testing, and ...

Apple

Machine Learning Engineer

Cupertino, CA

$212K - $318K/yr

As a Machine Learning Engineer, you will design and build cutting-edge AI/ML systems that drive ... Conduct rigorous model evaluation, testing, and iteration to continuously improve model quality and ...

Motorola

Machine Learning Engineer

Los Angeles, CA · On-site

Contribute to the design of data pipelines and infrastructure for training, testing, and validating ... Stay current with the latest Machine Learning research for wireless and embedded systems. * Perform ...

Adobe, Inc.

Machine Learning Engineer

San Jose, CA · On-site

The Opportunity Adobe is looking for a Machine Learning Engineer who will apply AI and machine ... Experience with A/B testing and Survival/time-to-event modeling * Knowledge of responsible AI ...

Adobe

Machine Learning Engineer

San Jose, CA

The Opportunity Adobe is looking for a Machine Learning Engineer who will apply AI and machine ... Experience with A/B testing and Survival/time-to-event modeling * Knowledge of responsible AI ...

Umba

Our most complex system is our risk model, your day to day will include feature generation and model training using machine learning techniques, developing A/B testing procedures, implementing ...

Umba

Machine Learning Lead

San Francisco, CA · On-site

Our most complex system is our risk model, your day to day will include feature generation and model training using machine learning techniques, developing A/B testing procedures, implementing ...

PhysicsX

Machine Learning Engineer

San Francisco, CA · On-site +1

... testing, CI/CD, API design, MLOps) * Building machine learning models and pipelines in Python, using common libraries and frameworks (e.g., TensorFlow, MLFlow) * Distributed computing frameworks (e.g ...

PhysicsX

Machine Learning Engineer

San Francisco, CA · On-site

... testing, CI/CD, API design, MLOps) * Building machine learning models and pipelines in Python, using common libraries and frameworks (e.g., TensorFlow, MLFlow) * Distributed computing frameworks (e.g ...

PhysicsX

Machine Learning Engineer

San Francisco, CA · On-site +1

... testing, CI/CD, API design, MLOps) * Building machine learning models and pipelines in Python, using common libraries and frameworks (e.g., TensorFlow, MLFlow) * Distributed computing frameworks (e.g ...

PlusAI

Machine Learning Engineer Intern

Santa Clara, CA · On-site

$19 - $65/hr

... testing metrics. * Generate Actionable Insights: Enable the system to synthesize complex data ... Machine Learning & NLP: Solid understanding of Large Language Models (LLMs), natural language ...

Spotter

Machine Learning Scientist

Culver City, CA · Remote

Experience with offline evaluation, A/B testing, counterfactual reasoning, causal inference, or ... Experience training, evaluating, tuning, and deploying machine learning models across deep learning ...

General Atomics

Machine Learning Engineer III

Poway, CA · On-site

$116K - $208K/yr

Completes programming and implements efficiencies, performs testing and debugging. * Completes ... Adapts machine learning to areas such as virtual reality, augmented reality, artificial ...

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Machine Learning Testing information

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How much do machine learning testing jobs pay per hour?

As of Jun 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.

Is ML a high paying job?

Machine Learning testing roles are generally well-paid due to the specialized skills required, such as knowledge of algorithms, programming, and data analysis. Salaries vary based on experience, location, and company size, but they tend to be higher than average for tech-related positions.

What jobs pay $2000 a day?

In the field of machine learning testing, highly specialized roles such as senior machine learning engineers, AI research consultants, or freelance experts with advanced skills and certifications can command daily rates of $2000 or more. These positions typically require extensive experience, strong technical knowledge, and often involve consulting or contract work for organizations seeking advanced AI solutions.

What are the key skills and qualifications needed to thrive in the Machine Learning Testing position, 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.

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.

How much do AI testers get paid?

AI testers, a role within machine learning testing, typically earn salaries ranging from $60,000 to $120,000 annually depending on experience, location, and company size. Entry-level positions may start lower, while experienced testers with skills in programming, data analysis, and testing tools can earn higher wages.

What is a Machine Learning Testing job?

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 is a $900000 AI job?

A $900,000 AI job typically refers to a high-level position in artificial intelligence, such as senior machine learning engineer or AI research director, often requiring advanced skills in programming, data analysis, and deep learning. These roles usually involve leadership, strategic planning, and extensive experience, and they may be found in large tech companies or specialized AI firms with competitive compensation packages.
What are the most commonly searched types of Machine Learning Testing jobs in California? The most popular types of Machine Learning Testing jobs in California are:
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
Machine Learning Engineer

Machine Learning Engineer

Velo3D

Fremont, CA • On-site

$150K - $220K/yr

Other

Medical, Retirement

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

Job description

Position Overview:
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 engineers, software engineers, and fellow ML engineers, you will develop and deploy models using image, time-series, and machine log data from advanced manufacturing systems.
Prior experience in additive manufacturing or 3D printing is not required. We are particularly interested in candidates with scientific, engineering, or technical backgrounds who have applied machine learning to complex real-world problems involving sensor data, physical systems, or experimental datasets, and who enjoy working closely with domain experts to deliver practical, high-impact solutions.
Responsibilities
  • Develop ML models using in-process sensor data to identify anomalies and quality issues during printing.
  • Build and iterate on training and evaluation workflows; document experiments and results for reproducibility.
  • Own ML experimentation end to end: Design datasets, preprocessing pipelines, and training workflows; iterate on model architectures and metrics; document experiments and results for reproducibility.
  • Help define data collection and management: Partner with process and software teams to improve how build data is ingested, cataloged, versioned, and made available for training and evaluation.
  • Deploy models into production: Work with print software and embedded teams to integrate validated models into production code running on printer hardware, including performance and reliability considerations.
  • Collaborate with supporting software engineers: Hand off validated Python prototypes for production hardening, provide clear specifications and acceptance criteria, and support integration and regression testing.

Requirements
  • Bachelor's degree in Computer Science, Electrical Engineering, Applied Mathematics, or a related field; advanced degree preferred.
  • 3+ years of experience building and evaluating machine learning models in a professional setting.
  • Hands-on experience with computer vision or image-based ML (e.g., segmentation, classification, or anomaly detection).
  • Strong Python skills and experience with modern ML frameworks (e.g., PyTorch).
  • Experience designing ML pipelines: data loading, preprocessing, training, evaluation, and experiment tracking.
  • Comfort working in a production software environment: version control, code review, testing, and cross-functional collaboration.
  • Ability to communicate technical tradeoffs clearly to engineers and non-engineers.
  • Strong programming skills in Python or C++.
  • Experience organizing and working with structured and unstructured datasets.
  • Background in a STEM or scientific discipline, with demonstrated use of ML to address substantive technical or engineering problems.

Bonus
  • Experience with powder bed fusion or other additive manufacturing processes.
  • Knowledge of manufacturing data workflows, IoT sensor data, or industrial automation systems.
  • Experience with image-based or time-series machine learning.
  • Familiarity with model deployment in production or embedded environments.
  • Familiarity with cloud storage and data pipelines (e.g., AWS S3, batch retrieval workflows).
  • Experience in domains such as robotics, aerospace, materials, instrumentation, scientific computing, or other fields where ML is applied to physical or experimental data.

About the Company:
Velo, Velo3D, Sapphire and Intelligent Fusion are registered trademarks of Velo3D, Inc. Without Compromise, Flow, Flow Developer, and Assure are trademarks of Velo3D, Inc.
With the only SupportFree laser powder bed fusion capability, we enable on-demand manufacturing of production quality Titanium, Inconel, and Aluminum parts with an unprecedented degree of design freedom and quality control. The VELO3D award-winning solution includes an integrated offering of hardware and software: Sapphire® metal AM production printer, Flow™ print preparation software, Assure™ quality assurance and control system, and an integrated manufacturing process that runs throughout the printing operation.
Our team enjoys excellent benefits including healthcare coverage and 401(K) employer contributions. We believe in transparency and recognizing exceptional efforts through our monthly all-hands meetings and team member appreciation awards.
Our job titles may span more than one career level. The starting base salary for this full-time position is between $150,000 and $220,000. This salary range reflects the minimum and maximum target for this position in the U.S. The actual base pay is dependent upon many factors, such as work experience, job-related skills, related education, work location, and market demands. The base pay range is subject to change and may be modified in the future. In addition to a competitive base salary and a comprehensive benefits package, this position may be eligible for other forms of compensation such as participation in a bonus and equity program, as applicable.
Velo3D provides equal employment opportunities to all employees and applicants for employment without regard to, and prohibits discrimination and harassment based on, race, color, religion, age, sex, national origin, disability, medical condition, genetic information, military or veteran status, sexual orientation, gender identity or expression, or any other characteristic protected by federal, state or local laws.
This policy applies to all terms and conditions of employment, including recruiting, hiring, placement, promotion, termination, layoff, recall, transfer, leaves of absence, compensation, and training.
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.
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.

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