ZipRecruiter

Log In

1

Associate Machine Learning Jobs in Riverside, CA

Yum! Brands

Associate Manager Machine Learning

Irvine, CA · Hybrid

$134.50K - $158.30K/yr

We are hiring a Manager, Machine Learning (MLE) to lead the development and operationalization of machine learning systems powering the Taco Bell Voice AI experience. This role is central to ensuring ...

Capgroup

Senior Machine Learning Engineer

Irvine, CA

$112.20K - $154K/yr

We believe that belonging leads to better outcomes and a stronger community of associates united by ... Design and implement scalable, production-quality systems that incorporate machine learning and ...

Capital Group

Senior Machine Learning Engineer

Irvine, CA · On-site

$111.60K - $153.20K/yr

We believe that belonging leads to better outcomes and a stronger community of associates united by ... a Senior Machine Learning Engineer at Capital Group." You will join our Machine Learning ...

Capgroup

Senior Machine Learning Engineer

Irvine, CA

$112.20K - $154K/yr

We believe that belonging leads to better outcomes and a stronger community of associates united by ... Machine Learning Engineering team to build the next generation of AI products at Capital Group ...

Pwc

CTIO-AI Engineer-Sr Associate

Irvine, CA · On-site

$55K - $187K/yr

Those in data science and machine learning engineering at PwC will focus on leveraging advanced ... As a Senior Associate, you will analyze complex problems, mentor junior team members, and maintain ...

Sunwest Bank

Associate to the President

Irvine, CA · On-site

$80K - $90K/yr

Associate to the President Department: Executive - 64 Reports to: President Status: ☒ Exempt ☐ ... Evaluate, implement, and optimize AI and machine learning solutions across the organization

Sunwest Bank

Associate to the President

Irvine, CA

$80K - $90K/yr

Associate to the President Department: Executive - 64 Reports to: President Status: ☒ Exempt ☐ ... Evaluate, implement, and optimize AI and machine learning solutions across the organization

Pwc

US Tech - AI Engineering Senior Associate

Irvine, CA · On-site

$55K - $187K/yr

Those in data science and machine learning engineering at PwC will focus on leveraging advanced ... As a Senior Associate you will analyze complex problems, mentor others, and maintain elevated ...

Serve Robotics

Field Operations Associate

Anaheim, CA · On-site

$22/hr

We are solving real-world problems leveraging robotics, machine learning and computer vision, among ... JOB OVERVIEW As an Operations Associate, you'll play a key role in ensuring the smooth and reliable ...

Zymo Research Corp

Bioinformatics Associate I

Irvine, CA · On-site

... machine learning, and multiomics technologies. • Employ best practices for source control, statistical accuracy, documentation, and reproducibility. Qualifications : Required : • Holds a master ...

New

Pwc

Oracle MDM Consultant - Senior Associate

Irvine, CA · On-site

$77K - $202K/yr

... Machine Learning. Focused on relationships, you are building meaningful client connections, and learning how to manage and inspire others. Navigating increasingly complex situations, you are growing ...

next page

Showing results 1-20

People also search for

All JobsAssociate Machine Learning JobsAssociate Machine Learning Jobs in Riverside, CA

Associate Machine Learning information

See Riverside, CA salary details

$32.9K

$138.8K

$328.1K

How much do associate machine learning jobs pay per year?

As of May 29, 2026, the average yearly pay for associate machine learning in Riverside, CA is $138,819.00, according to ZipRecruiter salary data. Most workers in this role earn between $48,000.00 and $210,700.00 per year, depending on experience, location, and employer.

What are the key skills and qualifications needed to thrive as an Associate Machine Learning Engineer, and why are they important?

To thrive as an Associate Machine Learning Engineer, you need a solid background in mathematics, programming (especially Python), and foundational machine learning concepts, usually supported by a relevant degree. Familiarity with tools like TensorFlow, PyTorch, scikit-learn, and experience with data processing libraries and version control systems is typically required. Strong analytical thinking, problem-solving ability, and effective collaboration skills help you stand out in this role. These competencies are essential for developing robust models, working efficiently with teams, and delivering impactful data-driven solutions.

What are some common challenges faced by Associate Machine Learning professionals when transitioning from academic projects to real-world business applications?

Associate Machine Learning professionals often find that moving from academic or theoretical projects to business-focused environments introduces new challenges. Real-world datasets can be messy, incomplete, or imbalanced, requiring additional data cleaning and preprocessing. Moreover, business timelines may require rapid prototyping and iterative model development, which is different from the more open-ended nature of academic research. Collaborating with cross-functional teams such as data engineers, product managers, and business stakeholders is also essential to align models with organizational goals. Adapting to these practical aspects is key to succeeding in an Associate Machine Learning role.

What does an Associate Machine Learning Engineer do?

An Associate Machine Learning Engineer assists in designing, developing, and deploying machine learning models under the supervision of senior engineers. They handle tasks such as data preprocessing, model evaluation, and maintaining machine learning pipelines. Associates often collaborate with data scientists, software engineers, and business teams to ensure that machine learning solutions are integrated effectively into products or services. This role is typically entry-level or early career and is a stepping stone toward more advanced machine learning positions.

What is the difference between Associate Machine Learning vs Data Scientist?

AspectAssociate Machine LearningData Scientist
Required CredentialsBachelor's degree in CS, Data Science, or related field; some roles may require certifications in ML or AIBachelor's or Master's in CS, Statistics, or related; often requires experience with data analysis and programming
Work EnvironmentEntry-level, team-based projects, focused on supporting ML models and data preprocessingMore autonomous, involved in data analysis, model development, and interpretation
Employer & Industry UsageTech companies, startups, research labs; roles in AI and ML teamsWide range of industries including tech, finance, healthcare, and consulting

While both roles involve working with data and machine learning, an Associate Machine Learning typically focuses on supporting ML projects with less experience, whereas a Data Scientist has broader responsibilities including data analysis, model development, and strategic insights. The roles often overlap but differ in scope and experience level.

What are the most commonly searched types of Machine Learning jobs in Riverside, CA? The most popular types of Machine Learning jobs in Riverside, CA are:
What job categories do people searching Associate Machine Learning jobs in Riverside, CA look for? The top searched job categories for Associate Machine Learning jobs in Riverside, CA are:
What cities near Riverside, CA are hiring for Associate Machine Learning jobs? Cities near Riverside, CA with the most Associate Machine Learning job openings:
Associate Machine Learning jobs near you
Associate Manager Machine Learning

Associate Manager Machine Learning

Yum! Brands

Irvine, CA • Hybrid

$134.50K - $158.30K/yr

Other

Posted 13 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

We are hiring a Manager, Machine Learning (MLE) to lead the development and operationalization of machine learning systems powering the Taco Bell Voice AI experience. This role is central to ensuring performance, scalability, and reliability across real-time models that support speech, natural language understanding, and agent behavior.

You will manage a team of MLEs and partner with AI Engineers, QA, and DevOps to deliver high-quality agent performance with a strong focus on latency, integration with restaurant systems (e.g., HME, POS), and production excellence.

Key Responsibilities:

  • ML System Design & Architecture:
    • Lead the design of end-to-end ML pipelines for speech, ASR, and NLU modules.
    • Optimize model performance for real-time interaction, including latency, uptime, and inference cost.
    • Implement and evolve model evaluation, testing, and monitoring frameworks.
  • Infrastructure & Integration:
    • Collaborate with engineering to integrate ML components with external systems (HME, menu boards, POS).
    • Support scalable deployment strategies across markets and environments.
    • Drive MLOps best practices in CI/CD, rollback, logging, and observability.
  • Leadership & Collaboration:
    • Mentor and guide a team of MLEs and junior ML engineers.
    • Partner with product, AI engineering, and QA to define technical scope, delivery targets, and quality standards.
    • Support internal upskilling and technical review of AI-driven components.

Required Qualifications:

  • 6+ years of experience in machine learning, including at least 2 years in technical leadership roles.
  • Proven expertise in deploying NLP, ASR, or LLM-based systems in real-time applications.
  • Strong programming skills in Python and ML tooling (e.g., PyTorch, HuggingFace, ONNX, MLflow).
  • Experience optimizing model latency and integrating ML with backend infrastructure.

Preferred Qualifications:

  • Experience in QSR, retail, or voice-driven customer service environments.
  • Background in integrating AI with physical systems (HME, POS, IoT).
  • Familiarity with LoRA, quantization, distillation, and model compression techniques.

Location & Travel:

  • This role is based in Irvine, CA at the Taco Bell offices.
  • Hybrid work model: in-office 1-2 days per week required.
  • Occasional travel to deployment sites or test locations may be needed.

Salary Range: $134,500 to $158,300 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.

Yum! Brands, Inc., based in Louisville, Kentucky, and its subsidiaries franchise or operate a system of over 59,000 restaurants in more than 155 countries and territories under the company's concepts - KFC, Taco Bell, Pizza Hut and Habit Burger & Grill. The Company's KFC, Taco Bell and Pizza Hut brands are global leaders of the chicken, Mexican-style food, and pizza categories, respectively. Habit Burger & Grill is a fast casual restaurant concept specializing in made-to-order chargrilled burgers, sandwiches and more. In 2024, Yum! was named to the Dow Jones Sustainability Index North America, and the company was recognized among TIME Magazine's list of Best Companies for Future Leaders, Newsweek's list of America's Most Responsible Companies and USA Today's America's Climate Leaders. Yum! also received widespread recognition in 2023, including being listed on the Bloomberg Gender-Equality Index; and Forbes' list of America's Best Employers for Diversity. In addition, KFC, Taco Bell and Pizza Hut brands were ranked in the top five of Entrepreneur's Top Global Franchises Ranking for 2023.

Apply