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
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
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