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Machine Learning Unpaid Internship Jobs (NOW HIRING)

Internship, academic project, or personal project experience in machine learning * Familiarity with Git and version control * Exposure to cloud platforms (AWS, Azure, or Google Cloud) * Basic ...

Internship, academic project, or personal project experience in machine learning * Familiarity with Git and version control * Exposure to cloud platforms (AWS, Azure, or Google Cloud) * Basic ...

Internship, academic project, or personal project experience in machine learning * Familiarity with Git and version control * Exposure to cloud platforms (AWS, Azure, or Google Cloud) * Basic ...

Internship, academic project, or personal project experience in machine learning * Familiarity with Git and version control * Exposure to cloud platforms (AWS, Azure, or Google Cloud) * Basic ...

... on academic, internship, personal, or professional projects. - Strong Python foundation and hands-on experience with at least one machine learning library or framework such as scikit-learn ...

Many classes and activities are shared with our Software Engineering interns, while others focus specifically on machine learning applications and techniques. Machine learning is a critical pillar of ...

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Machine Learning Unpaid Internship information

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$25.5K

$42.6K

$88K

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

As of Sep 6, 2026, the average yearly pay for machine learning unpaid internship in the United States is $42,584.00, according to ZipRecruiter salary data. Most workers in this role earn between $32,500.00 and $46,000.00 per year, depending on experience, location, and employer.

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.

More about Machine Learning Unpaid Internship jobs

What cities are hiring for Machine Learning Unpaid Internship jobs?

Cities with the most Machine Learning Unpaid Internship job openings:

What states have the most Machine Learning Unpaid Internship jobs?

States with the most job openings for Machine Learning Unpaid Internship jobs include:

Infographic showing various Machine Learning Unpaid Internship job openings in the United States as of August 2026, with employment types broken down into 1% As Needed, 74% Full Time, 24% Part Time, and 1% Contract. Highlights an 87% Physical, 2% Hybrid, and 11% Remote job distribution, with an average salary of $42,584 per year, or $20.5 per hour.

Undergraduate Internship - Unpaid

NFI Massachusetts

Middleton, MA • On-site

Other

Re-posted 28 days ago


Job description

NFI Massachusetts Internship Program

NFI Massachusetts is seeking motivated and compassionate undergraduate students to join our internship program across a variety of residential settings. This is a valuable opportunity to gain hands-on experience supporting youth and families within a dynamic, mission-driven human services organization.

About Us: NFI Massachusetts is a leading nonprofit agency dedicated to maximizing individual potential and supporting the promise of community living. We provide trauma-informed, strengths-based clinical and educational services to youth, families, and adults across Massachusetts.

Internship Overview: Undergraduate interns will work alongside experienced professionals to learn about the delivery of behavioral health and social services in real-world settings. Interns will gain insight into program operations, client engagement, and the interdisciplinary teamwork that supports individuals and families facing social, emotional, and systemic challenges. This is an unpaid internship opportunity.

Key Responsibilities:

  • Assist staff with program activities and daily operations
  • Observe and support individual, group, and family sessions as appropriate
  • Participate in team meetings, trainings, and case discussions
  • Complete documentation and administrative tasks as assigned
  • Engage with youth and families in a supportive and professional manner
  • Maintain confidentiality and uphold ethical standards consistent with agency policies

Eligibility & Requirements:

  • Must be enrolled in an undergraduate program in Psychology, Social Work, Human Services, or a related field
  • Strong interpersonal and communication skills
  • Interest in working with diverse populations and learning about trauma-informed care
  • Reliable transportation and ability to travel to assigned internship site(s)

What We Offer:

  • Structured supervision and mentorship by experienced professionals
  • Exposure to trauma-informed and evidence-based practices
  • Opportunities for hands-on learning and professional development
  • A collaborative, supportive, and mission-driven work culture

Equal Opportunity Employer This employer is required to notify all applicants of their rights pursuant to federal employment laws. For further information, please review the Know Your Rights notice from the Department of Labor.