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Machine Learning Engineer Jobs in Orange, CA (NOW HIRING)

Yum

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 platforms used for media measurement and customer analytics. This role partners closely with Data ...

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Magnopus

Machine Learning Engineer II

Los Angeles, CA · On-site

$100K - $150K/yr

Magnopus is looking for a Machine Learning Engineer who thrives at the intersection of product innovation, real-time systems, and creative collaboration. In this role, you won't just build models ...

True Anomaly

Senior Machine Learning Engineer

Long Beach, CA · On-site

$114K - $156K/yr

The Senior Machine Learning Engineer will design, build, and deploy core machine learning and AI capabilities, working with a cross-functional team to enhance technology in artificial intelligence ...

Motorola

Senior Machine Learning Engineer

Los Angeles, CA · On-site

$195K - $225K/yr

Bachelor degree with 8+ years experience as a machine learning engineer * AND 6+ years of Python and PyTorch or TensorFlow experience * Must be a U.S. citizen with the ability to obtain necessary ...

Field AI

3D Machine Learning Engineer

Irvine, CA

... rigorous engineering with learning systems proven in globally deployed solutions that deliver ... What You'll Do * Design and implement scalable machine learning pipelines for large-scale 3D ...

FieldAI

3D Machine Learning Engineer

Irvine, CA · On-site

... rigorous engineering with learning systems proven in globally deployed solutions that deliver ... What You'll Do * Design and implement scalable machine learning pipelines for large-scale 3D ...

Compunnel

Machine Learning Engineer

Aliso Viejo, CA · On-site

JOB SUMMARY The ML Engineer II will design and develop ML models that deliver accurate results to solve identified business problems using state-of-the-art techniques, under the guidance of Senior ML ...

Capgroup

Senior Machine Learning Engineer

Los Angeles, CA

$112K - $154K/yr

Access on-demand professional development resources that allow you to hone existing skills and learn new ones "I can succeed as a Machine Learning Engineer at Capital Group" We are seeking a strong ...

FieldAI

3D Machine Learning Engineer

Irvine, CA · On-site

... rigorous engineering with learning systems proven in globally deployed solutions that deliver ... What You'll Do * Design and implement scalable machine learning pipelines for large-scale 3D ...

FieldAI

3D Machine Learning Engineer

Irvine, CA

... rigorous engineering with learning systems proven in globally deployed solutions that deliver ... What You'll Do * Design and implement scalable machine learning pipelines for large-scale 3D ...

Compunnel

Machine Learning Engineer

Aliso Viejo, CA · On-site

JOB SUMMARY The ML Engineer II will design and develop ML models that deliver accurate results to solve identified business problems using state-of-the-art techniques, under the guidance of Senior ML ...

FieldAI

3D Machine Learning Engineer

Irvine, CA

... rigorous engineering with learning systems proven in globally deployed solutions that deliver ... What You'll Do * Design and implement scalable machine learning pipelines for large-scale 3D ...

Capgroup

Senior Machine Learning Engineer

Irvine, CA

$112K - $154K/yr

Access on-demand professional development resources that allow you to hone existing skills and learn new ones "I can succeed as a Machine Learning Engineer at Capital Group" We are seeking a strong ...

True Anomaly

Senior Machine Learning Engineer

Long Beach, CA · On-site

$114K - $156K/yr

They are seeking a Senior Machine Learning Engineer to design, build, and deploy machine learning and AI capabilities, working with a cross-functional team to enhance technology for space superiority.

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All JobsMachine Learning Engineer JobsMachine Learning Engineer Jobs in Orange, CA

Machine Learning Engineer information

See Orange, CA salary details

$33.6K

$137.6K

$206.7K

How much do machine learning engineer jobs pay per year?

As of Jun 10, 2026, the average yearly pay for machine learning engineer in Orange, CA is $137,559.00, according to ZipRecruiter salary data. Most workers in this role earn between $108,400.00 and $165,600.00 per year, depending on experience, location, and employer.

What are Machine Learning Engineers?

Machine Learning Engineers are specialized software engineers who design, build, and deploy machine learning models and systems. They work at the intersection of software engineering and data science, transforming data-driven prototypes into scalable, production-ready solutions. Their responsibilities include data preprocessing, model selection, algorithm implementation, and optimizing models for performance and efficiency. Machine Learning Engineers often collaborate with data scientists, software developers, and other stakeholders to integrate AI technologies into products and services.

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

To thrive as a Machine Learning Engineer, you need strong programming skills (particularly in Python), a solid background in mathematics and statistics, and a degree in computer science or a related field. Experience with machine learning frameworks (such as TensorFlow or PyTorch), data processing tools, and cloud platforms is typically required. Problem-solving ability, effective communication, and adaptability are crucial soft skills for collaborating with teams and translating complex models into practical solutions. These competencies ensure the development, deployment, and continual improvement of machine learning systems that drive business value.

What Does a Machine Learning Engineer Do?

A machine learning engineer maintains production systems and often works with other engineers. In this career, you work with software development methodology, use modern software development tools, and use agile practices. You also play a role in software design and architecture, so you may occasionally work with a programmer. An engineer may help to predict how a model should perform or seek out regression issues by using different test types and algorithms. To fulfill your duties and responsibilities, you work on a computer and use an array of skills and programs to carry out these tests.

What are some common challenges faced by Machine Learning Engineers when deploying models to production?

Machine Learning Engineers often encounter challenges such as ensuring model scalability, maintaining data consistency between training and production environments, and monitoring model performance over time. Integrating models into existing software infrastructure may require collaboration with DevOps and software engineering teams to address issues like latency, version control, and resource allocation. Additionally, ongoing model maintenance is crucial to prevent model drift and ensure that predictions remain accurate as new data becomes available.

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

AspectMachine Learning EngineerData Scientist
CredentialsBachelor's or Master's in CS, Data Science, or related; experience with ML frameworksBachelor's or Master's in Statistics, Data Science, or related; strong analytical skills
Work EnvironmentDevelops scalable ML models, deploys algorithms into productionAnalyzes data, builds models, interprets data insights
Industry UsageTech companies, startups, AI-focused firmsFinance, healthcare, marketing, research organizations

While both roles work with data and machine learning, Machine Learning Engineers focus on building and deploying scalable ML models in production environments. Data Scientists primarily analyze data, create models, and generate insights. The roles often overlap but differ in their core responsibilities and focus areas.

What jobs make $3,000 a month without a degree?

A Machine Learning Engineer typically requires a degree, but roles such as data annotator, technical support specialist, or freelance programmer can sometimes earn around $3,000 monthly without a formal degree, especially with relevant skills and experience. These jobs often involve self-taught skills, online certifications, or on-the-job training and may require proficiency in tools like Python or cloud platforms.
More about Machine Learning Engineer jobs
What are the most commonly searched types of Machine Learning Engineer jobs in Orange, CA? The most popular types of Machine Learning Engineer jobs in Orange, CA are:
What are popular job titles related to Machine Learning Engineer jobs in Orange, CA? For Machine Learning Engineer jobs in Orange, CA, the most frequently searched job titles are:
What job categories do people searching Machine Learning Engineer jobs in Orange, CA look for? The top searched job categories for Machine Learning Engineer jobs in Orange, CA are:
What cities near Orange, CA are hiring for Machine Learning Engineer jobs? Cities near Orange, CA with the most Machine Learning Engineer job openings:
Machine Learning Engineer jobs near you
Infographic showing various Machine Learning Engineer job openings in Orange, CA as of June 2026, with employment types broken down into 98% Full Time, and 2% Part Time. Highlights an 86% Physical, 5% Hybrid, and 9% Remote job distribution, with an average salary of $137,559 per year, or $66.1 per hour.

Sr Machine Learning Engineer

Yum

Irvine, CA • On-site

$112K - $154K/yr

Full-time

Medical, Dental, Vision, Life, Retirement, PTO

Posted 2 days ago

Job description

Job Description
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.
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