Machine Learning Intern (Remote - Worldwide)

A machine learning team at a company building language model products is looking for an intern to help make large language models more efficient and better at what they do. The work centers on finding ways to cut token usage without sacrificing output quality. You will work alongside experienced engineers and researchers on experiments, data workflows, and evaluation.

What you'll do

• Run experiments on language model configurations to find optimization opportunities.
• Build and maintain data pipelines that support model training and evaluation.
• Analyze performance metrics to judge both model quality and efficiency.
• Contribute to internal tools that monitor and tune model behavior.
• Read current machine learning and language model research and apply relevant ideas to product improvements.

What you need

• A degree in computer science, data science, engineering, mathematics, or a related field, or equivalent practical experience.
• Hands-on experience building or training machine learning models in Python with frameworks such as PyTorch, TensorFlow, or scikit-learn.
• Working knowledge of machine learning, statistics, model evaluation, and optimization techniques.
• Familiarity with large language models, natural language processing, and prompt design or tuning.
• Experience building data pipelines and analyzing model performance metrics.
• Experience with tools or monitoring systems for tracking model performance is a plus.

Open to applicants anywhere in the world.

How to apply

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