Research Engineer - Brain Computer Interface Models

Highlights

• Build next-gen open-source EEG and BCI models from data to deployment.
• Run large-scale EEG training runs and innovate on architectures.
• Integrate models into real-world BCI applications.

What they offer

• Comprehensive medical, dental, vision and FSA plans
• 401(k) plan
• Relocation and immigration support on a case-by-case basis
• In-office snacks and meals
• Unlimited PTO and company holidays

Ideal candidate

Organized, methodical researcher-engineer who takes ownership and learns new domains fast. You love open science, ambitious ideas, and building foundation models for neural data in an unexplored space.

Requirements

• Take ownership of project components and deliver working modules
• Excellent communication and collaboration with clean, concise coding practices
• Strong implementation and prototyping across research and engineering at scale
• Learn new domains quickly and apply concepts from other modalities to EEG
• Interest in neural data such as EEG, MEG, fMRI and foundation models
• Proficiency with PyTorch and Python
• Experience with VAEs, GANs, diffusion models and contrastive learning
• Familiarity with signal processing for EEG and time-series analysis
• Experience training on large-scale multi-node GPU clusters
• Experience contributing to large existing codebases