Research Engineer - Brain Computer Interface Models

The role

You will build the next generation of open-source EEG and brain-computer interface models. You will work across the full model lifecycle including data collection, architecture design, and training methodologies.

What you will do

• 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

Required qualifications

• Organized, methodical researcher
• Excellent communication and collaboration skills
• Clean and concise coding practices
• Strong implementation and prototyping skills
• Comfort working across both research and engineering at scale
• Ability to learn new domains quickly
• Ability to orient oneself in the academic literature
• Ability to implement new ideas
• Interest in neural data such as EEG, MEG, fMRI
• Proficiency with PyTorch and Python

Nice to have

• 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

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

About the company

Zyphra is an artificial intelligence company based in San Francisco, California.