engineering

Machine Learning/LLM Data Intern

Remote
internship
15-34 hours/week
Compensation: unpaid

About the Role

Keeplist is currently in beta and the founders are looking for Machine Learning/LLM Data Interns to help enhance our AI-powered content features. You'll work directly with our technical team to improve data processing, content enhancement, and recommendation systems.

The internship is open to students pursuing any degree type with a focus on computer science, data science, or related fields.

The internship is unpaid, but will provide meaningful skills and experience for individuals interested in machine learning and AI during a critical development point for an exciting new app.

What You'll Do

  • Ability to commit for at least 3 months.
  • Assist with data collection, cleaning, and preprocessing for machine learning models.
  • Help improve our content categorization and recommendation algorithms.
  • Work on large language model integration for content enhancement features.
  • Collaborate with the engineering team to implement and test AI features.
  • Analyze model performance and suggest improvements.
  • Document findings and contribute to technical documentation.

Who You Are

  • Currently enrolled in a college or university, pursuing computer science, data science, or related field.
  • Strong interest in machine learning, AI, and natural language processing.
  • Basic programming experience in Python.
  • Understanding of fundamental ML concepts and algorithms.
  • A proactive attitude and desire to work in a fast-moving startup environment.
  • Strong analytical and problem-solving skills.

Nice to Have

  • Experience with machine learning frameworks (TensorFlow, PyTorch, scikit-learn).
  • Familiarity with NLP libraries and techniques.
  • Knowledge of data analysis tools (pandas, numpy, matplotlib).
  • Experience with APIs and data processing pipelines.
  • Understanding of recommendation systems or content classification.

Tech Stack

PythonTensorFlowPyTorchscikit-learnpandasnumpy

What You'll Get

  • Hands-on machine learning and AI experience
  • Opportunity to work with cutting-edge LLM technology
  • Flexibility in working hours
  • Mentorship from founding team and senior engineers

Team Info

Team Size
2 people
Reports To
Founding Team
Posted
August 3, 2026
Duration
At least 3 months