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Machine Learning Engineer Intern Jobs in Long Beach, CA

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 ...

Voxelcloud

Machine Learning Engineer

Los Angeles, CA · On-site

MS degree in computer science, engineering, or mathematics * 2-3 years of relevant experience in building deep learning solutions for computer vision problems * Proficient with at least one major ...

KFC Corporation

Sr Machine Learning Engineer

Irvine, CA · On-site

$130 - $162/hr

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 ...

New

Voxelcloud

Data Engineer Intern

Los Angeles, CA · On-site

$123K - $148K/yr

The Data Engineer intern will support our software developers and machine learning engineers on product/research initiatives and will create an optimal data delivery pipeline that is consistent ...

Voxelcloud

Data Engineer Intern

Los Angeles, CA · On-site

$123K - $148K/yr

The Data Engineer intern will support our software developers and machine learning engineers on product/research initiatives and will create an optimal data delivery pipeline that is consistent ...

FieldAI

3D Machine Learning Engineer

Irvine, CA

$150K - $200K/yr

... 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

$150K - $200K/yr

... 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

$150K - $200K/yr

... 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 ...

Warnerbros

Senior Machine Learning Engineer

Burbank, CA · On-site

$111K - $153K/yr

Senior Machine Learning Engineer Team: Data & Audience Platform (DAP) - ML Engineering What We Do Warner Bros. Discovery (WBD) is home to the world's most iconic entertainment, news, and sports ...

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All JobsMachine Learning Engineer Intern JobsMachine Learning Engineer Intern Jobs in Long Beach, CA

Machine Learning Engineer Intern information

See Long Beach, CA salary details

$26.8K

$44.8K

$92.5K

How much do machine learning engineer intern jobs pay per year?

As of Sep 4, 2026, the average yearly pay for machine learning engineer intern in Long Beach, CA is $44,776.00, according to ZipRecruiter salary data. Most workers in this role earn between $34,200.00 and $48,400.00 per year, depending on experience, location, and employer.

What is a machine learning engineer intern?

A Machine Learning Engineer Intern is a temporary, entry-level role where individuals work with data scientists and engineers to develop, test, and optimize machine learning models. Interns typically assist in data preprocessing, feature engineering, model training, and evaluation. They may also work on improving existing algorithms, implementing research papers, or deploying models into production. This role provides hands-on experience with machine learning frameworks such as TensorFlow and PyTorch, as well as coding in Python and working with large datasets. The internship helps build practical skills and industry experience in artificial intelligence and data science.

What do machine learning engineer interns do?

Machine Learning Engineer Interns are often involved in data preparation, feature engineering, model development, and performance evaluation under the guidance of senior engineers or data scientists. You may help implement and test machine learning algorithms, assist in cleaning and visualizing datasets, and contribute to code reviews or research tasks. Interns frequently collaborate with cross-functional teams, such as data scientists, software engineers, and product managers, to solve real-world problems and support ongoing projects. This hands-on experience provides valuable insights into the practical application of machine learning in a professional setting.

What skills and qualifications are needed to thrive as a machine learning engineer intern?

To thrive as a Machine Learning Engineer Intern, you need a solid understanding of programming languages such as Python, knowledge of machine learning algorithms, and experience with data analysis, typically supported by coursework in computer science or related fields. Familiarity with tools like TensorFlow, PyTorch, scikit-learn, and version control systems such as Git is often required. Strong problem-solving abilities, attention to detail, and effective communication are valuable soft skills in this role. These competencies enable interns to contribute meaningfully to projects, collaborate efficiently with teams, and adapt in a fast-paced, tech-driven environment.

What are popular job titles related to Machine Learning Engineer Intern jobs in Long Beach, CA?

For Machine Learning Engineer Intern jobs in Long Beach, CA, the most frequently searched job titles are:

What job categories do people searching Machine Learning Engineer Intern jobs in Long Beach, CA look for?

The top searched job categories for Machine Learning Engineer Intern jobs in Long Beach, CA are:

What cities near Long Beach, CA are hiring for Machine Learning Engineer Intern jobs?

Cities near Long Beach, CA with the most Machine Learning Engineer Intern job openings:

Machine Learning Engineer Intern jobs near you
Infographic showing various Machine Learning Engineer Intern job openings in Long Beach, CA as of August 2026, with employment types broken down into 1% As Needed, 72% Full Time, 24% Part Time, 1% Temporary, and 2% Contract. Highlights an 87% Physical, 3% Hybrid, and 10% Remote job distribution, with an average salary of $44,776 per year, or $21.5 per hour.

Sr Machine Learning Engineer

Yum

Irvine, CA • On-site

$112K - $154K/yr

Full-time

Medical, Dental, Vision, Life, Retirement, PTO

Re-posted 27 days ago

Yum! Brands rating

5.4

Company rating: 5.4 out of 10

Based on 13 frontline employees who took The Breakroom Quiz

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

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