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Machine Learning Summer Internship Jobs in California

SeeScan

Summer Internship

San Diego, CA · On-site

$20/hr

Occasionally, SeeScan has summer internship opportunities in various departments. Often these ... continuous learning. Notes * No recruiters, contractors, or consultants, please * No relocation ...

Pravāh

ML Summer Intern

San Francisco, CA · On-site

$5.0K - $10K/mo

Role Overview We are seeking highly motivated students with strong foundations in mathematics, machine learning, and computational methods to join us for a summer internship. As an ML Intern at ...

SYUFY GROUP

Summer Internship 2026

San Rafael, CA

$25/hr

We are looking for energetic and motivated college students who are interested in learning about ... Summer Internship Program Overview: Our goal is to provide meaningful summer work experience for ...

SYUFY GROUP

Summer Internship 2026

San Rafael, CA · On-site

$25/hr

We are looking for energetic and motivated college students who are interested in learning about ... Summer Internship Program Overview: Our goal is to provide meaningful summer work experience for ...

True Anomaly

Machine Learning Engineer

Long Beach, CA · On-site

They are seeking a Machine Learning Engineer to design and develop machine learning and AI ... Preferred : • Internship, research, or project experience applying ML to real-world or research ...

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All JobsMachine Learning Summer JobsMachine Learning Summer Internship JobsMachine Learning Summer Internship Jobs in California

Machine Learning Summer Internship information

See California salary details

$25.2K

$42K

$86.8K

How much do machine learning summer internship jobs pay per year?

As of Jun 16, 2026, the average yearly pay for machine learning summer internship 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 Summer Intern, and why are they important?

To thrive as a Machine Learning Summer Intern, you need a solid background in mathematics, statistics, and programming (especially Python), often supported by ongoing coursework in computer science or related fields. Familiarity with machine learning frameworks like TensorFlow or PyTorch, version control systems such as Git, and data analysis tools is typically required. Strong problem-solving skills, curiosity, and teamwork are important soft skills that help interns contribute effectively and learn quickly. These skills and qualities are crucial for applying theoretical knowledge, collaborating on real projects, and adapting to the fast-evolving field of machine learning.

What types of projects can I expect to work on during a Machine Learning Summer Internship?

As a Machine Learning Summer Intern, you can expect to contribute to projects such as data preprocessing, building and evaluating machine learning models, and assisting with the deployment of algorithms into production environments. Interns often work alongside data scientists and engineers on real-world datasets to solve business problems, develop prototypes, or improve existing models. This hands-on experience will help you gain practical skills in using popular ML frameworks and understanding the end-to-end machine learning workflow.

What is the difference between Machine Learning Summer Internship vs Data Science Summer Internship?

AspectMachine Learning Summer InternshipData Science Summer Internship
Required CredentialsBasic programming, math, and machine learning knowledgeProgramming, statistics, and data analysis skills
Work EnvironmentDeveloping ML models, algorithms, and prototypesData analysis, visualization, and reporting
Industry UsageTech companies, AI startups, research labsBusiness, finance, healthcare, tech firms

Both internships involve working with data and require programming skills, but Machine Learning Summer Internships focus on developing algorithms and models, while Data Science Summer Internships emphasize data analysis and insights. The choice depends on your interest in building models versus analyzing data.

What is a Machine Learning Summer Internship?

A Machine Learning Summer Internship is a temporary, typically 8-12 week program for students or recent graduates to gain practical experience in machine learning. Interns work under the supervision of experienced professionals, contributing to real-world projects involving data analysis, model development, and algorithm implementation. These internships often provide mentorship, networking opportunities, and exposure to the latest tools and technologies in the field. They are valuable for building technical skills and improving career prospects in artificial intelligence and data science.
What are the most commonly searched types of Machine Learning Summer jobs in California? The most popular types of Machine Learning Summer jobs in California are:
What are popular job titles related to Machine Learning Summer Internship jobs in California? For Machine Learning Summer Internship jobs in California, the most frequently searched job titles are:
What job categories do people searching Machine Learning Summer Internship jobs in California look for? The top searched job categories for Machine Learning Summer Internship jobs in California are:
What cities in California are hiring for Machine Learning Summer Internship jobs? Cities in California with the most Machine Learning Summer Internship job openings:
Machine Learning Summer Internship jobs near you
Last Minute AI-Machine Learning Summer Internship (Gen AI - Multimodal)

Last Minute AI-Machine Learning Summer Internship (Gen AI - Multimodal)

Eluvio

Berkeley, CA • On-site

Temporary, Internship

Posted 8 days ago

Job description

If you are an outstanding upper undergrad, recent grad or grad student and are looking for an amazing last-minute Summer Internship - this is the opportunity for you! Eluvio AI is growing fast and we have a new internship position available in our Berkeley HQ!

Eluvio is a highly focused and ambitious team of systems, networking, application, and video software engineers, AI scientists, ML engineers, and security experts working together to implement the vision of the Content Fabric - a decentralized platform for video and commerce with the ambition of serving the world's Internet video. The Eluvio Content Fabric provides an innovative distributed and decentralized video processing framework with just-in-time and personalized experiences, made possible through our state-of-the-art real-time content routing and just-in-time code execution. We are headquartered in Berkeley, CA.

Eluvio uses a wide range of machine learning and deep learning techniques within its content fabric. This position offers an internship opportunity for students with excellent academic records pursuing graduate degrees in computer science, data science, or related fields (or advanced undergraduates) to work in our office with our software engineering team on ML, DL and data science solutions.

Responsibilities

  • Work with the Eluvio AI Machine Learning and Data Science Team
  • Build production level machine learning models on large-scale datasets to increase the intelligence of video/audio content
  • Provide data-driven recommendations and actionable insights on problems such as content understanding/augmentation/location
  • Develop multi-functional learning pipelines
  • Collaborate with product and engineering teams to implement models at scale
  • Help train and develop multimodal learning models using advanced learning techniques including RAG, self-supervised learning, semi-supervised, and transductive learning.

Requirements

Desired Qualifications

  • MSc or PhD student in Computer Science & Engineering/Statistics/Math/Physics, or Advanced Undergraduate
  • Deep classroom experience in data science or machine learning or prior internship
  • Comfortable with Python or R
  • Knowledge of machine/deep learning algorithms (e.g. gradient boosting, CNNs, sequence models) and frameworks/libraries (e.g., Tensorflow, PyTorch, Sci kit-learn)
  • Knowledge of computer vision and natural language processing
  • Strong working experience with large multi-modal and language models preferred
  • Great communication skills, organized, able to multitask and be a team player
  • Ability to balance attention to detail with agile execution

Benefits

Paid summer internship with one of the top Video AI tech companies in the world!

Catered Lunches (really good food)

Great atmosphere, nice colleagues

Summer Party!