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Machine Learning Unpaid Internship Jobs in California

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Machine Learning Unpaid Internship information

What is a machine learning unpaid internship?

A Machine Learning Unpaid Internship is a temporary position where students or recent graduates work with professionals to gain practical experience in machine learning without receiving monetary compensation. Interns typically assist with data analysis, model development, and research tasks, while learning about real-world machine learning applications. These internships help individuals build relevant skills, expand their professional network, and improve their resumes for future job opportunities.

What kinds of projects and responsibilities can I expect during a machine learning unpaid internship?

As a machine learning unpaid intern, you will typically work on projects such as data preprocessing, model training, and performance evaluation under the guidance of experienced team members. Your daily tasks may include cleaning datasets, implementing algorithms, and conducting experiments to test model improvements. Interns often collaborate with data scientists and engineers, participating in team meetings and code reviews to learn best practices. This hands-on experience provides valuable exposure to real-world machine learning workflows and tools, helping you build skills that are essential for future roles in the field.

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

To thrive as a Machine Learning Unpaid Intern, you should have a solid understanding of linear algebra, statistics, and programming languages like Python, along with coursework or experience in machine learning concepts. Familiarity with tools such as TensorFlow, PyTorch, scikit-learn, and version control systems like Git is typically expected. Strong problem-solving skills, eagerness to learn, and effective communication set standout interns apart. These skills are essential for contributing to projects, adapting quickly in a dynamic field, and collaborating with team members on real-world machine learning challenges.

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

AspectMachine Learning Unpaid InternshipData Science Intern
Required CredentialsBasic programming, coursework in ML or AIStatistics, programming, data analysis skills
Work EnvironmentStartups, tech companies, research labsTech firms, consulting agencies, research institutions
Industry UsageFocus on ML model development and algorithmsBroader data analysis, visualization, reporting

The main difference is that a Machine Learning Unpaid Internship emphasizes developing ML models and algorithms, often requiring knowledge of programming and AI concepts. In contrast, a Data Science Intern role covers a wider range of data analysis tasks, including visualization and reporting. Both roles are common in tech and research environments, but the internship focus and skill requirements differ slightly.

What are popular job titles related to Machine Learning Unpaid Internship jobs in California?

For Machine Learning Unpaid Internship jobs in California, the most frequently searched job titles are:

What job categories do people searching Machine Learning Unpaid Internship jobs in California look for?

The top searched job categories for Machine Learning Unpaid Internship jobs in California are:

What cities in California are hiring for Machine Learning Unpaid Internship jobs?

Cities in California with the most Machine Learning Unpaid Internship job openings:

Machine Learning Unpaid Internship jobs near you
Infographic showing various Machine Learning Unpaid Internship job openings in California as of August 2026, with employment types broken down into 23% Internship, 30% Full Time, and 47% Part Time. Highlights an 100% In-person job distribution.

School Psychologist Unpaid Internship

Little Lake City School District

Santa Fe Springs, CA • On-site

Full-time

Re-posted 28 days ago

Job description

BASIC FUNCTION
Under the immediate supervision of the school psychologist, the psychologist intern will:
*Conduct psycho-educational evaluations for special education, including writing reports and attending IEP meetings.
*Participate in and chair IEP meetings
*Participate in SST process
*Provide support with the Student Study Team (SST) process for administration, teachers and support staff
*Conduct systematic behavioral observations of student in a variety of settings
*Consult with teacher, administrators, parents and community resources regarding students in special education as well as regular education
*Observe and conduct a functional behavior assessment or other behavior intervention
*Participate in a school program, such as the crisis intervention team, develop 504 accommodations, and refer to outside agencies
*Provide individual and group counseling and early intervention for students showing signs of having learning difficulties or other difficulties hindering the their academic progress including but not limited to social skills training, anger management, conflict resolution, and peer mediation
*Other duties as assigned
ABILITY TO:
*Communicate effectively both orally and in writing
*Make independent decisions
*Utilize various testing techniques, materials, equipment and instruments
*Establish and maintain cooperative and effective working relationships with others
EDUCATION AND EXPERIENCE:
*BA/BS
*Current enrollment in a Master's program in School Psychology
*University verification regarding Intern eligibility
Requirements / Qualifications
Comments and Other Information
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