Research Engineer - Brain Computer Interface Models
Zyphra· R&D - Engineering
San FranciscoFull-timePosted 7mo ago
About the role
Core contributor to Zyphra’s BCI work, building the next generation of open-source EEG and brain–computer interface models across the full model lifecycle from data collection and preprocessing to designing novel architectures and training methodologies.
Responsibilities
- 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
Qualifications
- 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
- Proficiency with PyTorch and Python
Skills
Required:VAEsGANsdiffusion modelscontrastive learningsignal processing (EEG)time-series analysisPyTorchPythonlarge-scale GPU training
Nice to have:scientific communication
Benefits
- Comprehensive medical, dental, vision, and FSA plans
- Competitive compensation and 401(k) plan
- Relocation and immigration support on a case-by-case basis
- In-office snacks and meals provided
- Unlimited PTO and company holidays
- In-person team in San Francisco with a collaborative, high-energy environment
Last updated Aug 6, 2026. Interested? Apply on the company site.
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