Teams at CoMind

Serve as the technical authority for signal processing, inference, and machine learning systems that convert optical signals into clinical brain-monitoring measurements. Lead algorithms from research through validated production implementation, establish standards for uncertainty, calibration, reproducibility, and evaluation, and guide technical reviews, publications, patents, and regulatory documentation. Mentor data scientists and collaborate with R&D, Clinical, and Software Engineering teams.

Design and build a research platform for reproducible scientific analysis, including reprocessing pipelines, evaluation harnesses, cloud compute and data access, engineering standards, CI, testing, and regulatory traceability. Partner with scientists to create usable tooling, improve research-to-software workflows, mentor junior developers, and establish the platform engineering function. The role requires deep Python and experience with reproducible scientific or quantitative workloads.

Build and maintain on-device LLM software that transforms live neuromonitoring signals into actionable clinical insights. Responsibilities include AI integration, model evaluation, prompting, guardrails, inference optimization, medical device software development, cybersecurity and regulatory compliance, and fleet reliability. The role requires close collaboration with hardware, product, and clinical teams while ensuring safe, reliable performance on constrained hardware.