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Machine Learning Intern Jobs in Glendale, CA (NOW HIRING)

Voxelcloud

Data Engineer Intern

Los Angeles, CA

$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 ...

Homee

Interior Design Intern

West Hollywood, CA

We're leveraging the latest advances in machine learning, NLP, and artificial intelligence to build ... We are looking to expand our team with an Interior Design Intern! You will work in the Design ...

Homee

Interior Design Intern

West Hollywood, CA · On-site

We're leveraging the latest advances in machine learning, NLP, and artificial intelligence to build ... We are looking to expand our team with an Interior Design Intern! You will work in the Design ...

Homee

Graphic Design Intern

West Hollywood, CA

$17 - $22.50/hr

We're leveraging the latest advances in machine learning, NLP, and artificial intelligence to build ... Homee is looking for a Graphic Design Intern to join the team! You will be working directly with ...

Homee

Graphic Design Intern

West Hollywood, CA · On-site

$17 - $22.50/hr

We're leveraging the latest advances in machine learning, NLP, and artificial intelligence to build ... Homee is looking for a Graphic Design Intern to join the team! You will be working directly with ...

Maverick Payments

Underwriting Intern

Calabasas, CA · On-site

$22 - $27/hr

As a Maverick Payments Intern , you will work on real-world projects with business leaders from across the organization and gain practical experience using machine learning and predictive modeling to ...

Homee

Merchandising Intern

West Hollywood, CA

We're leveraging the latest advances in machine learning, NLP, and artificial intelligence to build ... APPLY FOR THIS JOB Homee is looking to expand our team with a Merchandising Intern. You will be ...

Homee

Merchandising Intern

West Hollywood, CA · On-site

We're leveraging the latest advances in machine learning, NLP, and artificial intelligence to build ... APPLY FOR THIS JOB Homee is looking to expand our team with a Merchandising Intern. You will be ...

Rider Levett Bucknall

Intern

Los Angeles, CA · On-site

$16.25 - $21.50/hr

Intern Reporting to: Office Director Overview of Role The Intern will work beside the Project ... Equipment used includes computers and standard office machines. * Essential physical tasks include ...

ECOS

HR Intern - Training & Development

Cypress, CA

$19/hr

A key focus of this role will be creating engaging training content, including training videos, scripts, presentations, and other learning materials. The intern will work closely with HR and ...

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Showing results 21-40

All JobsMachine Learning Intern JobsMachine Learning Intern Jobs in Glendale, CA

Machine Learning Intern information

See Glendale, CA salary details

$27K

$45.1K

$93.2K

How much do machine learning intern jobs pay per year?

As of Aug 27, 2026, the average yearly pay for machine learning intern in Glendale, CA is $45,101.00, according to ZipRecruiter salary data. Most workers in this role earn between $34,400.00 and $48,700.00 per year, depending on experience, location, and employer.

What does a machine learning intern do?

A Machine Learning Intern assists with developing, testing, and deploying machine learning models under the supervision of experienced data scientists or engineers. Their responsibilities may include data preprocessing, feature engineering, coding algorithms, analyzing results, and assisting with research tasks. Interns often work with programming languages like Python and libraries such as TensorFlow or PyTorch. The internship provides hands-on experience in real-world machine learning projects and helps interns build essential skills for a future career in the field.

What does a machine learning intern do?

A machine learning intern works in the field of data science. During an internship, you work alongside machine learning engineers who are developing artificial intelligence programs. They do this by writing computer code that allows a software system to run autonomously. Your exact responsibilities depend on the type and level of engineering that the company does. While you likely do not have coding duties, you may help the programmers test or debug their code. You may also work with algorithms and the mathematical aspects of artificial intelligence. A machine learning intern works under the supervision of a lead engineer.

What are the key skills and qualifications needed to thrive as a machine learning intern, and why are they important?

To thrive as a Machine Learning Intern, you need a solid understanding of statistics, programming (especially Python), and foundational machine learning concepts, typically supported by coursework or a degree in computer science or a related field. Familiarity with tools such as TensorFlow, PyTorch, scikit-learn, and data analysis libraries, as well as experience with version control systems like Git, is highly valuable. Strong problem-solving skills, curiosity, and effective communication set outstanding candidates apart in this role. These abilities are essential for analyzing data, building models, and collaborating with teams to develop innovative AI solutions.

What types of projects do machine learning interns typically work on, and how are they supported by the team?

Machine Learning Interns often contribute to real-world projects such as data preprocessing, developing and testing models, or assisting with research for new algorithms. Interns are usually paired with a mentor or work within a small team, receiving guidance during code reviews and regular check-ins. This collaborative environment helps interns gain practical experience, quickly overcome challenges, and integrate feedback, ensuring a steep learning curve and valuable industry exposure.

What is the difference between Machine Learning Intern vs Data Science Intern?

AspectMachine Learning InternData Science Intern
Required CredentialsTypically pursuing or recent graduate in Computer Science, Data Science, or related fields; knowledge of programming and ML frameworksUsually pursuing or recent graduate in Data Science, Statistics, or related fields; strong analytical and programming skills
Work EnvironmentTech companies, research labs, startups focusing on AI/ML projectsBusiness, finance, healthcare, and tech sectors analyzing data for insights
Employer & Industry UsageUsed in companies developing AI products, research institutions, tech startupsCommon in organizations requiring data analysis, reporting, and decision-making support

While both roles involve working with data and programming, a Machine Learning Intern focuses specifically on developing and implementing machine learning models, whereas a Data Science Intern works more broadly on analyzing data, creating reports, and deriving insights. The roles often overlap, but the Machine Learning Intern role emphasizes algorithm development and model deployment.

More about Machine Learning Intern jobs

What are the most commonly searched types of Machine Learning jobs in Glendale, CA?

The most popular types of Machine Learning jobs in Glendale, CA are:

What are popular job titles related to Machine Learning Intern jobs in Glendale, CA?

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

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

The top searched job categories for Machine Learning Intern jobs in Glendale, CA are:

What cities near Glendale, CA are hiring for Machine Learning Intern jobs?

Cities near Glendale, CA with the most Machine Learning Intern job openings:

Machine Learning Intern jobs near you
Infographic showing various Machine Learning Intern job openings in Glendale, CA as of August 2026, with employment types broken down into 1% As Needed, 76% Full Time, 21% Part Time, and 2% Contract. Highlights an 88% Physical, 2% Hybrid, and 10% Remote job distribution, with an average salary of $45,101 per year, or $21.7 per hour.

Data Engineer Intern

Los Angeles, CA

Voxelcloud
Medical Equipment and Supplies Manufacturing • 11 - 50 employees
Learn more about Voxelcloudexternal

$123K - $148K/yr

Full-time

Medical, Dental, Vision, Retirement, PTO

Re-posted 12 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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