ML / AI Research Intern
Tasks
- Build modular extensible codebase
- Demo working prototype and present findings
- Design synthetic data pipeline
- Document methodology experiments results
- Integrate LLM for text recommendations
- Prototype clustering algorithms
- Research unsupervised learning methods
Perks/Benefits
Skills/Tech-stack
Clustering | Data pipeline | Experiment tracking | Feature Engineering | Graph Neural Networks | Hierarchical Clustering | K-Means | LLM integration | Language Models | Language Processing | Large Language Models | Machine Learning | Model Evaluation | Natural Language | Natural Language Processing | Neural Networks | Reproducibility | Synthetic data | Technical writing | Unsupervised Learning
Education
Bachelor of Engineering | Bachelor of Science | Master of Science
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