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Apprentice Machine Learning Testing Jobs in Riverside, CA

Sr Machine Learning Engineer

Irvine, CA

$112K - $154K/yr

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

Sr Machine Learning Engineer

Irvine, CA

$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 ...

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

Machine Learning Engineer II

Irvine, CA · On-site

$104K - $143K/yr

In this role you will work with a high performing team of applied scientists, machine learning ... Agile software development, test-driven development, unit testing, code reviews, design ...

Senior Machine Learning Engineer

Irvine, CA

$112K - $154K/yr

Maintain a high bar for code quality, testing, clarity, and reliability. * Contribute to ... Hands-on experience integrating machine learning models into production applications or services

We are hiring a Manager, Machine Learning (MLE) to lead the development and operationalization of ... Implement and evolve model evaluation, testing, and monitoring frameworks. * Infrastructure ...

Sr Engineer, AI/Machine Learning

Irvine, CA · On-site

$140K - $170K/yr

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

Sr Engineer, AI/Machine Learning

Irvine, CA · On-site

$140K - $170K/yr

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

Sr Engineer, AI/Machine Learning

Irvine, CA · On-site

$140K - $170K/yr

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

Sr Engineer, AI/Machine Learning

Irvine, CA · On-site

$140K - $170K/yr

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

Data Scientist II

Irvine, CA · On-site +1

$82K - $127K/yr

Support deployment and lifecycle management of models within Azure Machine Learning, AWS, or similar platforms * Perform model validation, testing, and documentation to ensure quality and ...

Support deployment and lifecycle management of models within Azure Machine Learning, AWS, or similar platforms * Perform model validation, testing, and documentation to ensure quality and ...

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Apprentice Machine Learning Testing information

See Riverside, CA salary details

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

As of Jun 19, 2026, the average hourly pay for apprentice machine learning testing in Riverside, CA is $20.20, according to ZipRecruiter salary data. Most workers in this role earn between $17.07 and $22.07 per hour, depending on experience, location, and employer.

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 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 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 Riverside, CA? For Apprentice Machine Learning Testing jobs in Riverside, CA, the most frequently searched job titles are:
What job categories do people searching Apprentice Machine Learning Testing jobs in Riverside, CA look for? The top searched job categories for Apprentice Machine Learning Testing jobs in Riverside, CA are:
What cities near Riverside, CA are hiring for Apprentice Machine Learning Testing jobs? Cities near Riverside, CA with the most Apprentice Machine Learning Testing job openings:
Sr Machine Learning Engineer

Sr Machine Learning Engineer

Yum! Brands

Irvine, CA

$112K - $154K/yr

Other

Medical, Dental, Vision, Life, Retirement, PTO

Posted 11 days ago


Yum! Brands rating

3.9

Company rating: 3.9 out of 10

Based on 8 frontline employees who took The Breakroom Quiz


Job description

Senior Machine Learning Engineer

We are seeking a hands-on Senior Machine Learning Engineer to support and enhance machine learning platforms used for media measurement and customer analytics. This role partners closely with Data Scientists, Data Engineers, and Analytics stakeholders to deploy, maintain, and improve production ML workflows across AWS. The ideal candidate combines strong software engineering and MLOps fundamentals with a passion for building reliable, scalable machine learning systems.

Responsibilities
  • Support the deployment, monitoring, and ongoing maintenance of media measurement and customer modeling systems in partnership with Data Science and Engineering teams.
  • Develop and maintain SageMaker processing and training jobs, model endpoints, and supporting infrastructure across development, testing, and production environments.
  • Contribute to Step Functions, Lambda functions, and Airflow (MWAA) workflows that orchestrate model training, scoring, retraining, and analytics pipelines.
  • Support MLflow model registration and promotion processes, configuration management, and versioned model artifacts.
  • Build and maintain Docker images, ECR repositories, and GitLab CI/CD pipelines to enable reliable model deployment and release processes.
  • Help productionize machine learning models and data pipelines that support customer analytics, scoring, and decisioning use cases.
  • Investigate and resolve production issues using CloudWatch, DataDog, SageMaker logs, and workflow monitoring tools.
  • Collaborate with cross-functional partners to implement platform enhancements, improve operational reliability, and deliver new capabilities.
  • Contribute to engineering best practices, documentation, testing strategies, and operational procedures.
Qualifications

Required Qualifications

  • Bachelor's or Master's degree in Computer Science, Engineering, Data Science, or a related field.
  • 3+ years of experience in Machine Learning Engineering, MLOps, Software Engineering, or related technical roles.
  • Strong Python development skills, including experience with pandas, PyTorch, scikit-learn, boto3, and SQL.
  • Experience working with AWS services such as SageMaker, Step Functions, Lambda, S3, IAM, and ECR.
  • Experience developing or supporting orchestration workflows using Airflow, Glue, or similar technologies.
  • Familiarity with cloud-based data platforms such as Snowflake, Redshift, or Athena.
  • Experience with Docker, CI/CD pipelines, source control workflows, and software development best practices.
  • Strong troubleshooting and debugging skills across distributed systems and machine learning workflows.
  • Ability to collaborate effectively with technical and non-technical stakeholders.

Preferred Qualifications

  • Experience with Bayesian or probabilistic modeling frameworks such as PyMC or ArviZ.
  • Familiarity with MLflow, Hydra/OmegaConf, FastAPI, or similar ML platform tooling.
  • Experience supporting deep learning workflows in production environments.
  • Exposure to infrastructure-as-code tools such as Terraform, Terragrunt, or CloudFormation.
  • Experience working with customer analytics, marketing measurement, or recommendation systems.

Salary Range: 129,800 - 162,200 annually + bonus eligibility. This is the expected salary range for this position. Ultimately, in determining pay, we'll consider the successful candidate's location, experience, and other job-related factors.

Benefits: Employees (and their eligible family members) may enroll in the following types of insurance coverage: medical, dental, vision, legal, and accidental death and dismemberment, as well as FSA/HSA (depending on enrolled medical plan). Yum! also provides short-term disability, long-term disability, and life insurance. Employees may enroll in our 401(k) plan. Yum! provides 4 weeks of vacation, paid sick leave, 10 paid holidays, a floating day off and 2 paid days for volunteer time each calendar year. To learn more about working at Yum! - Click here.

At Yum!, one of our core values is to Believe in ALL People. This means seeing the value in everyone and unlocking their full potential to be their best self. YUM! Brands, Inc. (including its subsidiaries Yum Restaurant Services Group, LLC ("YRSG") and Yum Connect, LLC ("Yum Digital and Technology")(collectively, "Yum") is proud to be an equal opportunity employer and is committed to equity, inclusion, and belonging for all dimensions of diversity. We do not discriminate based on race, color, religion, sex, sexual orientation, gender identity, national origin, veteran status, disability status, age, or any other protected characteristic. Yum! is committed to working with and providing reasonable accommodation to applicants with disabilities or special needs.

US Job Seekers/Employees - Click here to view the "Know Your Rights" poster and supplement and the Pay Transparency Policy Statement.

Job Info
  • Job Identification 5253
  • Posting Date 06/08/2026, 01:36 PM
  • Degree Level Bachelor's Degree
  • Job Schedule Full time
  • Locations Irvine, CA, United States Plano, TX, United States Louisville, KY, United States (Hybrid)