Founding ML Engineer: Generalizable Subvocal Speech

Socket.dev in San Francisco is seeking a lead ML scientist to own the central problem of turning noisy physiological signals into continuous language. You will shape data collection, signal representation, model families, and evaluations, working closely with founders and sensing/ hardware leads.

We seek PhD-level research ability and production-quality coding speed, with the goal of building a product-ready, low-latency system that generalizes across people, sessions, and devices.