Research Intern — Coding LLMs
Core
Research intern focusing on foundational areas for coding language models, including data curation, synthetic data generation, and evaluation.
Role type
Research intern (coding LLMs)
Builds
Synthetic data and evaluation pipelines for code generation, editing, and agentic coding tasks.
Domain
Artificial Intelligence / Large Language Models / Software Engineering
Deliverable
production ML models
Required skills
Python programming, machine learning fundamentals, LLM pre-training and mid-training concepts, data curation, experiment design, data analysis
Preferred skills
GitHub-scale data processing, synthetic data generation, LLM evaluation, semantic deduplication, agentic coding, research publications
Technologies
Python, LLM APIs, large-scale code corpora
Responsibilities
Explore data-centric methods for improving coding LLMs; Build synthetic data and evaluation pipelines; Run experiments to analyze data and training strategy effects; Work with large-scale code corpora and developer activity data.
