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Machine Learning Engineer Intern Jobs in Cerritos, CA

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 · 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 ...

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 Cerritos, CA

Machine Learning Engineer Intern information

See Cerritos, CA salary details

$26.6K

$44.3K

$91.6K

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

As of Sep 7, 2026, the average yearly pay for machine learning engineer intern in Cerritos, CA is $44,338.00, according to ZipRecruiter salary data. Most workers in this role earn between $33,800.00 and $47,900.00 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 cities near Cerritos, CA are hiring for Machine Learning Engineer Intern jobs?

Cities near Cerritos, 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 Cerritos, CA as of June 2026, with employment types broken down into 95% Full Time, 2% Part Time, 2% Contract, and 1% Nights. Highlights an 95% Physical, 2% Hybrid, and 3% Remote job distribution, with an average salary of $44,338 per year, or $21.3 per hour.

Data Engineer Intern

Voxelcloud

Los Angeles, CA • On-site

$123K - $148K/yr

Full-time

Medical, Dental, Vision, Retirement, PTO

Re-posted 23 days ago

Job description

Company Description
Founded in 2016, VoxelCloud is a Los Angeles-based leader worldwide in artificial intelligence (AI) analysis of medical images. Backed by Sequoia and Tencent. We help healthcare providers make better/earlier diagnoses and other clinical decisions. http://www.voxelcloud.ai
Job Description
The Data team at VoxelCloud (Westwood, Los Angeles, CA) manages and maintains large-scale medical and healthcare data at the core of all our R&D activities. Reporting to Data Team Lead, the Data Engineer intern will participate in the acquisition and manipulation of massive datasets in multi-modal formats (medical images, text(EMR), etc.) on cloud storage. The ideal candidate is an experienced data pipeline builder and data wrangler who enjoys optimizing data systems and building them from the ground up. 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 across ongoing projects. They must be self-directed and comfortable supporting the data needs of multiple teams, systems, and products. The right candidate will be excited by the prospect of optimizing or even re-designing our company's data architecture to support our next generation of products and data initiatives.
Responsibilities:
  • Create and maintain optimal data pipelines to support machine learning research and development
  • Identify, design, and implement internal process improvements: automating data QA, optimizing data delivery, re-designing infrastructure for greater scalability, etc.
  • Build the infrastructure required for optimal extraction, transformation, and loading of data from a wide variety of data sources using SQL and AWS/AliCloud big data technologies.
  • Build analytics tools that utilize the data pipeline to provide actionable insights into product utilization and operational efficiency.
  • Keep our data separated and secure across national boundaries both locally and on cloud storage.

Qualifications
  • Proficient with at least one object-oriented/object function scripting languages: Python, Java, C++, Scala, etc
  • Working SQL knowledge and experience working with relational databases, query authoring (SQL) as well as working familiarity with a variety of databases (Postgres).
  • Experience building and optimizing 'big data' data pipelines, architectures and data sets.
  • Solid understanding of information retrieval, statistics and machine learning. Experience with Computer Vision and NLP is a plus.
  • Prefer 1+ years in big data and related technology (e.g. DFS); experience with high-performance and scalable distributed system.
  • Prefer experience with AWS cloud services: EC2, EMR, RDS, Redshift
  • Skillful with automation tasks, but willing to get hands dirty for quality control.
  • Detail-oriented, well organized and self-motivated with a continuous drive to learn, explore and challenge; good communication skills and team player.
  • Experience supporting and working with cross-functional teams in a dynamic environment.
  • MS, BA/BS degree in computer science, statistics or related field.

Additional Information
We Offer...
  • An outstanding start-up culture;
  • Transparent, collaborative work environment;
  • Competitive compensation
  • Excellent Medical, Dental, and Vision coverage
  • 401k, paid Vacation and Holiday

All your information will be kept confidential according to EEO guidelines.

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