Member of Technical Staff, Fixed-size state

We train on trajectories that can span weeks or months. Dense attention makes those horizons infeasible, and context compression is not enough for reliable memory.

This role develops fixed-size state architectures for models trained on long-horizon computer-use trajectories.

Test scaling behavior.

Study failure modes such as state collapse and loss of long-range dependencies.

Publish the results.