Software Research Engineer

Synchron builds brain-computer interfaces that restore and protect human agency. Our Stentrode™ implant is delivered through the blood vessels rather than by open brain surgery — a roughly two-hour procedure in our clinical trial, with most participants going home the next day — and it reads motor intent from inside a vessel adjacent to the motor cortex. People living with severe paralysis have used it to text, browse, shop, and control the devices in their homes by thought alone. Chiral™, the brain foundation model we introduced in 2025, learns directly from that neural data.

Synchron Cognition Labs is hiring Research Engineers to work with Research Scientists to enhance the AI/ML models that turn neural signals into action. This is work that sits close to the product: you will take models trained on a handful of implant recipients and make them reliable enough for daily control of an iPhone, an iPad, an Apple Vision Pro, a smart home, or an LLM-assisted conversation with family.

Two constraints define the work and make it unlike consumer ML. Our clinical data is measured in patient-years, not petabytes — so data efficiency is the research problem, not an optimization. And the model output is not a ranked list; it is someone’s only means of speaking, so latency, stability, and failure behavior matter as much as accuracy.