ML Intern

Responsibilities

• Experiment with language model configurations to find optimization opportunities
• Build and maintain data pipelines for model training and evaluation
• Analyze performance metrics to assess model quality and efficiency
• Contribute to internal tools that monitor and optimize model behavior
• Apply current ML and language model research to product improvements

Requirements

• Degree in computer science, data science, engineering, mathematics, or equivalent practical experience
• Hands-on experience building or training ML models with Python
• Familiarity with PyTorch, TensorFlow, or scikit-learn
• Knowledge of machine learning, statistics, and model evaluation
• Familiarity with large language models, NLP, and prompt design or tuning
• Experience building ML data pipelines and analyzing model performance metrics

Preferred Qualifications

• Experience contributing to tools or monitoring systems for model performance