Research Engineer - Brain Computer Interface Models

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.

• 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

• 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

• 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