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Machine Learning Testing Jobs in California (NOW HIRING)

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 ...

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 ...

General Atomics

Machine Learning Engineer II

Poway, CA · On-site

$98K - $171K/yr

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

Apple

Machine Learning Engineer- GenAI

Cupertino, CA · On-site

You will help design and implement our machine learning strategy to the substantial supply chain ... Experience applying ML techniques in manufacturing, testing, or hardware optimization is a major ...

Icwgroup

Machine Learning Engineer

San Diego, CA · Hybrid

Strong knowledge and experience with containers, software design patterns, unit testing, CI/CD ... and machine learning algorithms, NLP, forecasting, recommender systems, reinforcement learning ...

ICW Group

Machine Learning Engineer

San Diego, CA · On-site

Strong knowledge and experience with containers, software design patterns, unit testing, CI/CD ... and machine learning algorithms, NLP, forecasting, recommender systems, reinforcement learning ...

Ema

Software Engineer, Machine Learning

Bodega Bay, CA · On-site

$135K - $200K/yr

You love utilizing machine learning techniques to push the boundaries of what is possible within ... Implement A/B testing and other statistical methods to validate the effectiveness of models. Ensure ...

Ema

Software Engineer, Machine Learning

San Francisco, CA · On-site

$135K - $200K/yr

You love utilizing machine learning techniques to push the boundaries of what is possible within ... Implement A/B testing and other statistical methods to validate the effectiveness of models. Ensure ...

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All JobsMachine Learning Testing JobsMachine Learning Testing Jobs in California

Machine Learning Testing information

See California salary details

$13

$22

$30

How much do machine learning testing jobs pay per hour?

As of Jul 13, 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 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.

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 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 July 2026, with employment types broken down into 1% As Needed, 75% Full Time, 21% Part Time, 2% Temporary, and 1% Contract. Highlights an 89% Physical, 1% Hybrid, and 10% Remote job distribution, with an average salary of $46,846 per year, or $22.5 per hour.
Machine Learning Intern (Singapore)

Machine Learning Intern (Singapore)

TETRAMEM INC

San Jose, CA

$35 - $45/hr

Internship

Posted 23 days ago

Job description

About the Role
We are seeking a Software Intern to support the development of tools, frameworks, and applications that enable neural network models to run efficiently on TetraMem’s novel analog compute-in-memory chips. This is an exciting opportunity to work at the intersection of software, hardware, and artificial intelligence.


Responsibilities

  • Develop, optimize, and maintain Python and C++ software for neural network model compression, conversion, deployment, and runtime environments.
  • Design and implement tools to improve machine learning model efficiency, including quantization, pruning, graph optimization, and memory reduction techniques.
  • Analyze and adapt machine learning models to improve compatibility, performance, and power efficiency on Compute-in-Memory (CIM) and Analog AI hardware architectures.
  • Develop software frameworks, APIs, and runtime components to support end-to-end AI model deployment on edge AI and embedded systems.
  • Perform software design, implementation, debugging, testing, and performance profiling to optimize system throughput, latency, and resource utilization.
  • Collaborate closely with AI researchers, hardware engineers, and system architects to validate hardware-software co-design and system-level functionality.
  • Evaluate emerging machine learning models, algorithms, and deployment techniques to enhance AI inference performance on next-generation semiconductor platforms.
  • Participate in code reviews, establish software quality standards, and contribute to automated testing, continuous integration, and technical documentation.
  • Troubleshoot software and system issues across the AI stack, including model conversion pipelines, runtime environments, and hardware acceleration frameworks.
  • Contribute to the development of innovative AI computing technologies and support research activities through technical presentations, publications, patents, and cross-functional collaboration.


Qualifications
• Currently pursuing a degree in Computer Science, Electrical Engineering, or related field
• Solid programming experience in Python, C++, or similar
• Understanding of data structures, algorithms, and software architecture
• Familiarity with AI/ML frameworks (e.g., TensorFlow, PyTorch) is a plus
• Strong problem-solving skills and eagerness to learn

Compensation

• Hourly Rate: $35.00 – $45.00 per hour (USD)

• The final compensation will be determined based on the candidate’s education, experience, technical skills, and overall qualifications.

Work Location: This position is based on-site at TetraMem’s U.S. office in San Jose, California.

TetraMem celebrates diversity and is committed to creating an inclusive environment for all employees. We are proud to be an Equal Opportunity Employer and welcome applicants from all backgrounds. Qualified candidates will receive consideration for employment without regard to race, color, religion, creed, sex, gender identity or expression, sexual orientation, national origin, ancestry, age, marital status, medical condition, disability, genetic information, military or veteran status, or any other characteristic protected by applicable federal, state, or local law.
TetraMem is committed to providing reasonable accommodations to qualified applicants with disabilities throughout the recruitment process. Applicants requiring accommodation may contact Human Resources for assistance.
To ensure a fair, consistent, and efficient hiring process, all candidates must apply through TetraMem’s official ClearCompany Applicant Tracking System (ATS). Applications submitted through the ATS allow our hiring team to evaluate candidates using a standardized process and ensure timely communication throughout the recruitment process. To promote equal consideration for all applicants, applications submitted outside of the ClearCompany ATS, including direct emails, LinkedIn messages, or unsolicited submissions to employees, may not be reviewed or considered.
We encourage all interested candidates to apply through the official TetraMem Careers page.