About this role
Zyphra is an artificial intelligence company based in San Francisco, California.
The Role:
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
Qualifications / Additional Skills:
- 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
Why Work at Zyphra:
- Our research methodology is grounded in methodical, step-by-step approaches to ambitious goals. Both deep research and engineering excellence are equally valued
- We strongly value new and crazy ideas and are very willing to bet big on new ideas
- We move as quickly as we can; we aim to minimize the bar to impact as low as possible
- We all enjoy what we do and love discussing AI
Benefits and Perks:
- 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