Research Scientist, Agentic Data & Benchmarking

The Agents team trains advanced agentic language models that use reasoning and tool use to complete real tasks on a computer. This is a specialist role at the center of the loop that drives those models: the data we train on and the benchmarks we measure against.

You'll own the agentic data pipeline end-to-end — sourcing and generating high-quality trajectories, tool-use data, and RL environments — and the evaluation suite that tells us, rigorously and reproducibly, what our agents can actually do. These two halves are inseparable: benchmarks expose where models fail, and targeted data closes the gap. The agents are only as good as the data they learn from and the evals that keep us honest, and this role owns both.

This is a research scientist position for someone who wants depth in data and measurement rather than breadth across the whole stack. You should be the kind of person who reads through datasets line by line, distrusts a metric until it's been validated, and gets satisfaction from making an eval suite that nobody questions.