Synstate Labs is looking for researchers and engineers who want to work on device-level cognitive state modeling — a hard, interdisciplinary problem at the intersection of HCI, ML, and systems design.
ML Research Engineer
Signal modeling & temporal inference
Responsibilities
Design and train models that fuse keyboard, mouse, gaze, and context-switching signals into compact cognitive state representations
Develop temporal inference methods that track state trajectories over hours and days, not just snapshots
Run experiments on internal datasets to evaluate stability, transferability, and interpretability of state variables
Collaborate on the Cognitive State Engine architecture — model selection, feature engineering, on-device constraints
Requirements
Strong background in ML/deep learning (time-series, sequence models, multimodal fusion)
Experience with Python, PyTorch or JAX, and experiment tracking
Comfortable working with noisy, real-world behavioral data
Published research or equivalent project depth in a relevant area