What this interview will probe
Train and fine-tune the proprietary models behind Cursor's autocomplete and agent features, reducing reliance on third-party APIs by improving code-completion quality, latency, and cost. You'll work across data curation, model training, and evaluation loops tied directly to product metrics. A technical interview would probe transformer internals, fine-tuning and RL techniques for code models, and how you'd design evals that correlate offline model quality with real editor acceptance rates.
ExoForm is not affiliated with Cursor. This is an independent practice page.