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Internship Machine Learning Jobs in California (NOW HIRING)

PlusAI

Full Stack Engineer Intern

Santa Clara, CA

$19 - $65/hr

Familiarity with autonomous vehicles, robotics, or other sensor/telemetry-heavy data environments. $19 - $65 an hour Our internship hourly rates are a standard pay determined based on the position ...

PlusAI

Full Stack Engineer Intern

Santa Clara, CA · On-site

$19 - $65/hr

Familiarity with autonomous vehicles, robotics, or other sensor/telemetry-heavy data environments. $19 - $65 an hour Our internship hourly rates are a standard pay determined based on the position ...

Intel

Machine Learning Engineer

Folsom, CA

Machine Learning Engineer / Data Scientist** to join our team, working on agent harness research ... internship experiences and or schoolwork/classes/research. Benefits at Intel Our total rewards ...

Intel

Machine Learning Engineer

Santa Clara, CA · On-site

Machine Learning Engineer / Data Scientist** to join our team, working on agent harness research ... internship experiences and or schoolwork/classes/research. Benefits at Intel Our total rewards ...

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All JobsInternship Machine Learning JobsInternship Machine Learning Jobs in California

Internship Machine Learning information

See California salary details

$25.2K

$42K

$86.8K

How much do internship machine learning jobs pay per year?

As of Jun 23, 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 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 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 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 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 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 June 2026, with employment types broken down into 1% Locum Tenens, 1% Internship, 1% As Needed, 39% Full Time, 57% Part Time, and 1% Nights. Highlights an 85% Physical, 1% Hybrid, and 14% Remote job distribution, with an average salary of $42,026 per year, or $20.2 per hour.

Machine Learning Engineer (I-III)

True Anomaly

Long Beach, CA • On-site

Full-time

Posted 9 days ago

Job description

Job Summary:
True Anomaly is a company dedicated to building technology for space superiority. They are seeking a Machine Learning Engineer to contribute to the design and development of machine learning and AI capabilities, focusing on tasks such as object classification and anomaly detection.
Responsibilities:
• Assist in the development, training, and evaluation of ML models across a range of mission-relevant tasks
• Support data ingestion, preprocessing, and feature engineering pipelines
• Run experiments, track results, and contribute to model evaluation and iteration
• Write clean, documented, and testable Python code as part of a collaborative engineering team
• Learn and grow alongside senior engineers, contributing meaningfully from day one
Qualifications:
Required:
• Bachelor's degree in computer science, machine learning, data science, electrical engineering, or a similar discipline
• Proficient in Python
• Foundational understanding of machine learning concepts including supervised learning, unsupervised learning, and model evaluation
• Exposure to ML frameworks such as PyTorch, TensorFlow, or JAX through coursework, research, or personal projects
• Strong mathematical fundamentals in linear algebra, statistics, and probability
• Eagerness to learn, take feedback, and grow in a fast-paced, mission-driven environment
• Passion for spaceflight and advancing capabilities related to space domain awareness and space security
• Work Location— this is a fully onsite role. Candidates must be based in or able to commute to our Denver or Long Beach office daily.
• To conform to U.S. Government space technology export regulations, including the International Traffic in Arms Regulations (ITAR) you must be a U.S. citizen, lawful permanent resident of the U.S., protected individual as defined by 8 U.S.C. 1324b(a)(3), or eligible to obtain the required authorizations from the U.S. Department of State.
Preferred:
• Internship, research, or project experience applying ML to real-world or research datasets
• Familiarity with classification, regression, clustering, or anomaly detection techniques
• Experience with version control (Git) and basic software engineering practices
• Exposure to MLOps concepts such as experiment tracking or model versioning
• Coursework or project work in deep learning, computer vision, or time-series analysis
Company:
True Anomaly develops space security technologies, including spacecraft, software platforms, and mission systems for orbital operations. Founded in 2022, the company is headquartered in Centennial, USA, with a team of 201-500 employees. The company is currently Growth Stage.

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