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Machine Learning Testing Jobs in California (NOW HIRING)

Droyd Robotics

Machine Learning Intern

San Francisco, CA · On-site

Support deployment and testing of models on robotic hardware We're looking for candidates who * Are current juniors or seniors (or equivalent) studying computer science, machine learning, AI, or a ...

New

Machina Labs

Machine Learning Engineer

Chatsworth, CA · On-site

$160K - $190K/yr

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 ...

Motorola

Machine Learning Engineer

Los Angeles, CA

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 ...

Machina Labs

Machine Learning Engineer

Chatsworth, CA · On-site

$160K - $190K/yr

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 ...

Machina Labs

Machine Learning Engineer

Los Angeles, CA · On-site

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 ...

Hive

Machine Learning Manager

San Francisco, CA

$180K - $250K/yr

Machine Learning Manager In order to execute our vision, we're constantly growing our machine ... testing, and deployment in production * Drive delivery for our product milestones, continually ...

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 ... testing, and deployment in production * Drive delivery for our product milestones, continually ...

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 ...

Velo3D

Machine Learning Engineer

Fremont, CA

$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 ...

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 ...

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All JobsMachine Learning Testing JobsMachine Learning Testing Jobs in California

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

2T Consulting

Santa Clara, CA

Full-time

Posted 11 days ago

Job description

Overview

We are seeking a highly motivated Machine Learning Engineer to help build next-generation AI-powered search and generative experiences. In this role, you will leverage state-of-the-art machine learning techniques, large language models, and software engineering best practices to develop scalable solutions that enhance user experiences. You will work closely with cross-functional teams to design, deploy, evaluate, and optimize machine learning systems while contributing to a culture of technical excellence and innovation.

Key Responsibilities

  • Leverage and advance the latest developments in Machine Learning, Deep Learning, and Generative AI to deliver high-impact product features.

  • Design, develop, train, and deploy machine learning models for search relevance, ranking, query understanding, question answering, and generative experiences.

  • Build robust evaluation frameworks and metrics to accurately measure model quality, performance, calibration, and user impact.

  • Translate product requirements into machine learning solutions, modeling strategies, and engineering deliverables.

  • Collaborate with Infrastructure, Data Engineering, Product Management, Design, and Quality teams to develop innovative AI-driven features and exceptional search experiences.

  • Optimize model performance, scalability, reliability, and production deployment pipelines.

  • Conduct experiments, analyze results, and iterate on model improvements using data-driven methodologies.

  • Mentor junior engineers and applied scientists, fostering technical growth and promoting engineering best practices.

  • Contribute to the development of a high-performing, world-class AI and Machine Learning team.

Required Qualifications

  • Bachelor's degree in Computer Science, Artificial Intelligence, Machine Learning, Data Science, Information Retrieval, or a related field, or equivalent practical experience.

  • 6+ years of industry experience developing and deploying machine learning solutions in collaborative environments.

  • Hands-on experience with deep learning frameworks such as PyTorch, TensorFlow, or JAX.

  • Strong understanding of machine learning model development, training, evaluation, and deployment.

  • Experience translating business and product requirements into machine learning and software engineering solutions.

  • Proficiency in at least two programming languages, including Python, C/C++, Java, or Go.

  • Strong software engineering fundamentals, including system design, testing, and scalable application development.

Preferred Qualifications

  • Master's or Ph.D. in Computer Science, Machine Learning, Artificial Intelligence, or a related technical discipline.

  • Experience with Generative AI technologies, Large Language Models (LLMs), Retrieval-Augmented Generation (RAG), and modern AI frameworks.

  • Prior experience developing machine-learned models for search relevance, ranking, query understanding, recommendation systems, or question-answering applications.

  • Experience building and optimizing consumer-facing AI products at scale.

  • Familiarity with model evaluation, experimentation frameworks, A/B testing, and responsible AI practices.

  • Experience working in fast-paced, cross-functional product organizations.

Technical Skills

  • Machine Learning & Deep Learning

  • Generative AI and Large Language Models (LLMs)

  • Search Relevance and Information Retrieval

  • Query Understanding and Ranking Systems

  • PyTorch, TensorFlow, JAX

  • Python, Java, Go, C/C++

  • Model Training, Evaluation, and Deployment

  • Distributed Systems and Scalable ML Infrastructure

  • Data Analysis and Experimentation

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