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Apprentice Machine Learning Testing Jobs in Ontario, CA

Machine Learning Scientist

Irvine, CA · On-site

$140 - $200/hr

# Machine Learning ScientistIrvine, CA**Full Time -- In Office -- Irvine, CA**## About Steg.AISteg.AI ... Expert with PyTorch and training and testing deep learning models* Familiarity with dataset ...

New

Sr Machine Learning Engineer

Irvine, CA · On-site

$112K - $154K/yr

We are seeking a hands-on Senior Machine Learning Engineer to support and enhance machine learning ... Contribute to engineering best practices, documentation, testing strategies, and operational ...

As a Machine Learning Integration Engineer, you will help rapidly prototype, mature, and monitor ML ... Contribute to the research, design, implementation, and testing of CV and/or AI/ML software

Responsible for algorithm design, development, implementation, testing, and documentation for Biomedical Signal Processing systems * Design, train and evaluate machine learning models using large ...

Responsible for algorithm design, development, implementation, testing, and documentation for Biomedical Signal Processing systems * Design, train and evaluate machine learning models using large ...

Machinist Apprentice - Santa Ana, CA DESCRIPTION: The Machinist Apprentice will assist experienced ... This role involves learning machining processes, interpreting technical drawings, and ensuring ...

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Apprentice Machine Learning Testing information

See Ontario, CA salary details

$11

$19

$28

How much do apprentice machine learning testing jobs pay per hour?

As of Aug 19, 2026, the average hourly pay for apprentice machine learning testing in Ontario, CA is $19.70, according to ZipRecruiter salary data. Most workers in this role earn between $16.63 and $21.54 per hour, depending on experience, location, and employer.

What does an apprentice machine learning testing do?

An Apprentice Machine Learning Testing professional assists in evaluating and validating machine learning models to ensure they perform as expected. They typically work under the guidance of experienced data scientists or engineers, running tests, analyzing results, and helping to identify issues such as bias or inaccuracies in algorithms. Their responsibilities may also include developing test cases, writing reports, and learning about data preprocessing and evaluation metrics. This role is ideal for those who are new to the field and want to build foundational skills in machine learning quality assurance.

What kinds of projects or tasks can I expect to work on as an apprentice machine learning testing?

As an Apprentice Machine Learning Testing, you’ll typically assist in evaluating machine learning models by designing and running tests, analyzing model outputs, and helping identify issues like bias or overfitting. You may work closely with data scientists and software engineers to validate model performance and ensure results align with project objectives. Your daily tasks might include preparing test datasets, executing automated testing scripts, and documenting findings to help improve model reliability. This role often serves as a valuable introduction to practical machine learning workflows and quality assurance processes in technical teams.

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

To thrive as an Apprentice in Machine Learning Testing, a foundational understanding of statistics, programming (especially Python), and basic machine learning concepts is essential, often supported by a degree or coursework in computer science or a related field. Familiarity with tools such as TensorFlow, PyTorch, Jupyter Notebooks, and version control systems is typically required. Strong analytical thinking, attention to detail, and effective communication skills help apprentices collaborate and identify testing issues efficiently. These skills ensure accurate model validation, effective troubleshooting, and contribute to the robust deployment of machine learning solutions.

What is the difference between Apprentice Machine Learning Testing vs Machine Learning Engineer?

AspectApprentice Machine Learning TestingMachine Learning Engineer
Required CredentialsBasic understanding of ML concepts, often pursuing relevant certifications or degreesAdvanced degrees (BSc, MSc, PhD) in CS or related fields, with extensive experience
Work EnvironmentEntry-level, supervised testing environments, often in training programsFull-time, independent development and deployment of ML models in production
Employer & Industry UsageInternships, training programs, entry-level roles in tech companiesEstablished tech firms, startups, research institutions

Apprentice Machine Learning Testing roles focus on learning and assisting with testing ML models under supervision, while Machine Learning Engineers design, build, and deploy ML systems independently. The apprentice position is ideal for gaining foundational skills, whereas the engineer role requires advanced expertise and experience.

What are popular job titles related to Apprentice Machine Learning Testing jobs in Ontario, CA?

For Apprentice Machine Learning Testing jobs in Ontario, CA, the most frequently searched job titles are:

What job categories do people searching Apprentice Machine Learning Testing jobs in Ontario, CA look for?

The top searched job categories for Apprentice Machine Learning Testing jobs in Ontario, CA are:

What cities near Ontario, CA are hiring for Apprentice Machine Learning Testing jobs?

Cities near Ontario, CA with the most Apprentice Machine Learning Testing job openings:

Machine Learning Scientist

Steg.AI

Irvine, CA • On-site

$140 - $200/hr

Other

Posted yesterday

New


Job description

# Machine Learning ScientistIrvine, CA**Full Time — In Office — Irvine, CA**## About Steg.AISteg.AI's mission is to protect and authenticate digital media. We do it by writing software that uses AI technology to watermark digital media. Our watermarks are invisible to humans, but detectable by our proprietary algorithms.Founded in 2019, Steg.AI is a National Science Foundation (NSF) and investor-funded startup based in Orange County, California. Our machine learning team currently consists of 3 PhDs in Computer Vision.We are looking for a highly motivated machine learning scientist with a passion for groundbreaking AI technology for watermarking, steganography, or media provenance.## Job DescriptionYou will work with the machine learning team to design and implement state of the art deep learning algorithms for steganography with digital media (e.g. images, video, etc.), and work with the engineering team to deploy these algorithms to mobile, desktop, and cloud platforms.## Scope of Responsibility* Collaborate with the machine learning team to develop and implement novel steganography algorithms with deep learning* Collaborate with the engineering team to deploy models to customers* Benchmark new models versus older models* Disseminate findings to the team via written reports and oral presentations## Required Qualifications* Expert with PyTorch and training and testing deep learning models* Familiarity with dataset collection/curation for training deep networks* Strong collaboration, communication, and organizational skills## Bonus Qualifications* Familiarity with steganography and watermarking technologies* Familiarity with image/video compression algorithms* Computer Vision/Machine Learning publications in CVPR/ICCV/NeurIPS/etc.* Experience with deploying machine learning models to customers via mobile, desktop, or cloud service platforms## To ApplySend your resume/CV to **careers@steg.ai**Apply now #J-18808-Ljbffr