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Internship Machine Learning Jobs in California (NOW HIRING)

EarnIn

Machine Learning Intern

Mountain View, CA · Hybrid

$40/hr

This internship will pay $40 per hour, with an expected 40 hours per week for the 12-week program ... of machine learning and deep learning algorithms. Familiarity with training or fine-tuning large ...

Advantest

Machine Learning Engineer

San Jose, CA · On-site

Advantest is seeking a motivated Junior Machine Learning Engineer to support the development of ... Hands-on experience with ML modeling via coursework, internships, or independent projects.

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Internship Machine Learning information

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$25.2K

$42K

$86.8K

How much do internship machine learning jobs pay per year?

As of May 31, 2026, the average yearly pay for internship machine learning 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 an Internship Machine Learning, and why are they important?

To thrive as a Machine Learning Intern, you generally need a solid grounding in mathematics, programming (especially Python), and familiarity with machine learning concepts, often supported by coursework or relevant projects. Experience with tools and libraries like TensorFlow, scikit-learn, and Jupyter Notebooks, as well as knowledge of version control systems like Git, is typically expected. Strong problem-solving skills, willingness to learn, and effective communication set outstanding interns apart. These skills and qualities enable interns to contribute meaningfully to projects, adapt quickly, and collaborate well within technical teams.

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

As a Machine Learning intern, you may work on a variety of projects such as data preprocessing and cleaning, developing and testing machine learning models, or assisting with research experiments. These projects often involve collaborating closely with data scientists and engineers, learning to use popular frameworks like TensorFlow or PyTorch, and presenting your findings to the team. The scope and complexity of your assignments will typically grow as you demonstrate proficiency and initiative, providing valuable real-world experience and networking opportunities.

What are internship machine learning positions?

Internship machine learning positions are temporary roles for students or recent graduates to gain hands-on experience in the field of machine learning. Interns typically work on real-world projects involving data analysis, model development, and algorithm implementation under the guidance of experienced professionals. These internships provide valuable exposure to machine learning tools, programming languages such as Python, and industry best practices. They are an excellent way to build technical skills, enhance your resume, and explore career opportunities in artificial intelligence and data science.

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

AspectInternship Machine LearningData Science Intern
Required CredentialsBasic programming, introductory ML knowledgeStatistics, programming, data analysis basics
Work EnvironmentHands-on ML model development, codingData analysis, visualization, reporting
Industry UsageTech, AI companies, research labsBusiness, finance, healthcare sectors

Internship Machine Learning focuses on developing and implementing machine learning models, requiring programming and ML fundamentals. Data Science Internships involve analyzing data, creating reports, and supporting decision-making. Both roles are common in tech and research industries, but ML internships are more specialized in model building, while Data Science internships emphasize data analysis and visualization.

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 Internship Machine Learning jobs in California? For Internship Machine Learning jobs in California, the most frequently searched job titles are:
What job categories do people searching Internship Machine Learning jobs in California look for? The top searched job categories for Internship Machine Learning jobs in California are:
What cities in California are hiring for Internship Machine Learning jobs? Cities in California with the most Internship Machine Learning job openings:
Internship Machine Learning jobs near you
Infographic showing various Internship Machine Learning job openings in California as of May 2026, with employment types broken down into 67% Internship, and 33% Full Time. Highlights an 100% In-person job distribution, with an average salary of $42,026 per year, or $20.2 per hour.
Machine Learning Intern

Machine Learning Intern

EarnIn

Mountain View, CA • Hybrid

$40/hr

Other

Posted 21 days ago

Job description

POSITION SUMMARY

As a Fintech company where Machine Learning (ML) is one of the key drivers of growth, our operations highly rely on machine learning models, from business decisions to customer experiences. Therefore, building and deploying state-of-the-art machine learning systems to drive impact via our data capabilities is key. To guarantee the success of machine learning systems, we need to provide a detailed formulation, extensive experimentation, and to transform ML models into high-performance production-level code, including not only implementing sophisticated machine learning algorithms but also robustness monitoring and system logging/alarming. 

 We seek talented and motivated students and recent graduates with a strong background in machine learning, deep learning, language models and generative AI, programming, and data analysis to join our 12-week Machine Learning Internship Program. You will work on real-world projects, collaborate with experienced professionals, gain valuable experience in the fintech industry, and realize business and social impact. This role requires hybrid work from our Mountain View office, with 2 days a week in person. This internship will pay $40 per hour, with an expected 40 hours per week for the 12-week program. We are unable to provide visa sponsorship or immigration support for this position.  

WHAT YOU'LL DO 

  • Train and fine-tune large-scale Foundation Models to support various fintech product use cases
  • Work with a large dataset, including structured and unstructured data
  • Help in ensuring improvements in our current ML systems via model, data, or experimentation upgrades
  • Gain hands-on experience with a wide array of technologies, including PyTorch, AWS, Kafka, Databricks, etc

WHAT WE'RE LOOKING FOR

  • Actively pursuing a Master's or PhD in Computer Science, Information Technology, or a related field
  • Located in Mountain View, or have the ability to relocate there, for the duration of the internship 
  • Strong understanding of statistical models, familiarity, and in-depth understanding of machine learning and deep learning algorithms. Familiarity with training or fine-tuning large-scale models, Sequence Transformer models 
  • Interest in multimodal or multitask learning across structured, sequential, and behavioral data
  • Familiarity with AI tools, harness engineering, agentic workflow, etc.
  • Hands-on programming experience in Python and ML frameworks such as PyTorch
  • Equipped with good verbal and written communication skills
  • A background demonstrating strong problem-solving skills
  • Committed to taking ownership of projects, conducting thorough investigations, and driving initiatives to conclusion

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