Research Engineer - Brain Computer Interface Models

Zyphra•San Francisco, CA

5d•Onsite

About The Position

As a Research Engineer - Brain Computer Interface Models, you will be a core contributor to Zyphra’s BCI work, building the next generation of open-source EEG and brain–computer interface models. You will be involved across the full model lifecycle, from data collection and preprocessing to designing novel architectures and training methodologies. You’ll Work Across: Large-scale EEG model training runs and evaluation Architecture and training methodology ablations and innovations Dataset collection and preprocessing for EEG and other BCI modalities Performance optimization of the training stack Integration of models into real-world BCI applications

Requirements

Organized, methodical researcher who can take ownership of a project component, communicate their process clearly, and deliver a working module
Excellent communication and collaboration skills, with clean and concise coding practices
Strong implementation and prototyping skills, with comfort working across both research and engineering at scale
Ability to learn new domains quickly, orient oneself in the academic literature, and implement new ideas, creatively borrowing concepts from other modalities and applying them to EEG domain
Interest in neural data such as EEG, MEG, fMRI as well as building foundation models in a much less explored space
Proficiency with PyTorch and Python

Nice To Haves

Experience with VAEs, GANs, diffusion models, and contrastive learning
Familiarity with signal processing (especially for EEG) and time-series analysis
Experience training on large-scale (multi-node) GPU clusters
Experience contributing to large existing codebases and ramping up quickly
Previously published machine learning research in well-respected venues