Research Engineer, Synthetic Data

Join a small engineering team to build synthetic data systems for AI agents, transforming real-world professional workflows into scalable training tasks. This role focuses on improving how models learn and perform across practical domains by creating diverse, realistic, and learnable tasks. The position involves designing generation methods, developing tools for task mutation and validation, and analyzing model performance to understand strengths and limitations.