ZipRecruiter

Log In

1

Machine Learning Intern Jobs in California (NOW HIRING)

Pravāh

ML Summer Intern

San Francisco, CA · On-site

$5.0K - $10K/mo

We apply modern machine learning to complex physical infrastructure problems spanning grid ... As an ML Intern at Pravah, you will work on real, open-ended technical problems at the frontier of ...

LLNL

Machine Learning (ML) Bioengineer

Livermore, CA · On-site

We have an opening for a Machine Learning (ML) Bioengineer to conduct research training and evaluating next-generation clinical, protein and genome language models. You will join the Bioresilience ...

LLNL

Machine Learning (ML) Bioengineer

Livermore, CA

We have an opening for a Machine Learning (ML) Bioengineer to conduct research training and evaluating next-generation clinical, protein and genome language models. You will join the Bioresilience ...

LLNL

Machine Learning (ML) Bioengineer

Livermore, CA · On-site

We have an opening for a Machine Learning (ML) Bioengineer to conduct research training and evaluating next-generation clinical, protein and genome language models. You will join the Bioresilience ...

next page

Showing results 1-20

All JobsMachine Learning Intern JobsMachine Learning Intern Jobs in California

Machine Learning Intern information

See California salary details

$25.2K

$42K

$86.8K

How much do machine learning intern jobs pay per year?

As of Jun 19, 2026, the average yearly pay for machine learning intern in California is $42,026.00, according to ZipRecruiter salary data. Most workers in this role earn between $32,100.00 and $45,400.00 per year, depending on experience, location, and employer.

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 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 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.

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 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.

More about Machine Learning Intern jobs
What are the most commonly searched types of Machine Learning jobs in California? The most popular types of Machine Learning jobs in California are:
What are popular job titles related to Machine Learning Intern jobs in California? For Machine Learning Intern jobs in California, the most frequently searched job titles are:
What job categories do people searching Machine Learning Intern jobs in California look for? The top searched job categories for Machine Learning Intern jobs in California are:
What cities in California are hiring for Machine Learning Intern jobs? Cities in California with the most Machine Learning Intern job openings:
Machine Learning Intern jobs near you
Infographic showing various Machine Learning Intern job openings in California as of June 2026, with employment types broken down into 3% Internship, 7% Full Time, and 90% Part Time. Highlights an 94% Physical, 1% Hybrid, and 5% Remote job distribution, with an average salary of $42,026 per year, or $20.2 per hour.
AI & Machine Learning Summer/Fall Co-Op (June '26 - Dec '26)

AI & Machine Learning Summer/Fall Co-Op (June '26 - Dec '26)

Skyworks

Irvine, CA • On-site

$22.50 - $42/hr

Full-time, Temporary

Posted 9 days ago

Job description

Job Title: AI & Machine Learning Summer/Fall Co-Op (June '26 - Dec '26)
Posting Start Date: 6/1/26
Job Location(s): Irvine
If you are looking for a challenging and exciting career in the world of technology, then look no further. Skyworks is an innovator of high-performance analog semiconductors whose solutions are powering the wireless networking revolution. Through our broad technology expertise and one of the most extensive product portfolios in the industry, we are Connecting Everyone and Everything, All the Time.
At Skyworks, you will find a fast-paced environment with a strong focus on global collaboration, minimal layers of management, and the freedom to make meaningful contributions in a setting that encourages creative thinking. We are excited about the opportunity to work with you and glad you want to be part of a team of talented individuals who together are changing the way the world communicates.
Requisition ID: 76559
Job Description:
Description
As an AI/ML Co-op, you will support engineering efforts for AI and machine learning initiatives spanning multiple business units. You'll lead small projects under the supervision of the enterprise AI/ML engineering team, collaborating with stakeholders from various departments.
Term: Summer/Fall Co-Op (June '26 - Dec '26)
Responsibilities
Your responsibilities will include:
  • Gathering and analyzing engineering and business data to identify opportunities for AI/ML solutions.
  • Developing code for core use case functionality with guidance and gradually work independently
  • Designing and implementing new procedures and workflows for AI/ML projects.
  • Identifying bottlenecks and working with cross-functional teams to develop and deploy solutions.
  • Assisting with documentation, reporting, and other project deliverables.

This opportunity will allow you to sharpen your AI/ML, technical, and problem-solving skills in a dynamic business environment.
Required Experience and Skills
  • Current Junior/Senior undergraduate studying Computer Science, Data Science, Electrical, Mechanical, or Industrial Engineering
  • Must be able to temporarily relocate to work on-site, full-time hours from June 2026 to December 2026
  • Experience using programming languages (Python), and AI/ML frameworks like Pytorch, and an understanding of AI algorithms.
  • Proficiency using VScode or other programming IDEs, ramp up learning curve on using code assists to complete tasks. Be able to quickly learn company-specific software (Agentic AI, LangChain, LangGraph, Genie, Databricks).

Desired Experience and Skills
  • Programming in Python for over 2 + years, understanding of AI/ML algorithms, be able to solve problems quickly.
  • Self-starter with a strong work ethic, eager to tackle challenges and take ownership.
  • Willingness to work in a hands-on, collaborative environment.
  • Strong time management, communication, organization, and documentation skills.

Please note: If you have already graduated and are not currently enrolled in school, you are not eligible for this Co-Op position.
#LI-DNI
The typical pay range for an Engineering intern across the U.S. is currently USD $26.00 - $47.50 per hour and for a Non-Engineering intern across the U.S. is currently USD $22.50 - $42.00 per hour. Starting pay will depend on level of education, the ultimate job duties and requirements, and work location. Skyworks has different pay ranges for different work locations in the U.S.
Skyworks is an Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, age, sex, sexual orientation, gender identity, national origin, disability, protected veteran status, or any other characteristic protected by law. Skyworks strives to create an accessible workplace; if you need an accommodation due to a disability, please contact us at accommodations@skyworksinc.com.
Skyworks logo

About Skyworks

Sourced by ZipRecruiter

We are empowering the wireless networking revolution, connecting people, places and things around the world. As the demand for ubiquitous, “always-on” connectivity increasingly expands, our innovative, high performance analog semiconductors are enabling breakthrough communication platforms from global industry leaders – changing the way we live, work, play and learn. Through our broad technology expertise and one of the most extensive product portfolios in the industry, we are Connecting Everyone and Everything, All the Time.

Industry

Construction

Company size

201 - 500 Employees

Headquarters location

Buffalo, NY, US

View All Skyworks Jobs

Apply