Zyphra
Research Engineer - Brain Computer Interface Models
San Francisco · On-site · Full-time · Posted Mar 16, 2026
- Visa sponsorship
- Relocation and immigration support on a case-by-case basis.
About the job
Build open-source EEG and brain–computer interface models across the full lifecycle, from data preparation and model training to integration into real-world applications.
What you'll do
- Train and evaluate large-scale EEG models; explore architectures and training methodologies.
- Collect and preprocess EEG and other BCI datasets, and optimize the training stack.
- Integrate models into real-world BCI applications.
What they ask for
- Proficiency with PyTorch and Python.
- Strong implementation and prototyping skills across research and engineering.
- Ability to learn new domains, engage with academic literature, and implement new ideas for EEG.
- Clear communication, collaboration, and clean coding practices.
Nice to have
- Experience with VAEs, GANs, diffusion models, or contrastive learning; familiarity with signal processing and time-series analysis.
- Experience with multi-node GPU clusters or large codebases; prior machine learning publications in well-respected venues.
Tools
PyTorch, Python, EEG, MEG, fMRI, VAEs, GANs, diffusion models
AI focus
Develop and train open-source EEG and brain–computer interface models, including novel architectures and training methods.
Model-written summary · the original posting is authoritative