Staff/Principal Machine Learning Engineer

Epia Neuro is a neural technology company developing intent-driven systems that restore function and independence for people living with neurological conditions. Our platform integrates implantable neural interfaces, adaptive algorithms, and assistive devices to translate neural intent into real-world action. Our initial focus is stroke-related motor impairment, with planned expansion into cognitive decline and other neurological disorders.

We have a strong research group driving early brain-computer-interface (BCI) algorithm development. We are looking for someone with deep, hands-on BCI machine learning (ML) expertise to own neural decoding and carry it from validated research approaches to real-time algorithms running in human clinical studies. This is where applied BCI work gets real: your models decode intent from actual participants, under the constraints of a live clinical program.

This is a senior individual-contributor leadership role, open at the Staff or Principal level depending on skills and experience. You will set ML technical strategy across decoder design, the decoding platform, and system architecture. Your focus is neural decoding, but your influence won't stop there: you will help raise the bar for ML engineering and modeling practices across the company. You will stay hands-on, working closely with our research team and with Software, Firmware, Hardware, and Robotics.

We are intentional. We prioritize and are thoughtful about how we use others' time.

We care for others. We prioritize safety both for patients and one another.

We own outcomes, not just tasks. Our work demands the highest standards because it impacts real patients and real lives.

Humility is a strength. We are honest about what we know and what we don't know. Getting it right matters more than being right.