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Research Engineer - Brain Computer Interface Models

Zyphra · San Francisco

Extracted from the posting

Base
Not stated
Remote
On-site
Visa
Relocation and immigration support on a case-by-case basis
Stack
PyTorch, Python

Core contributor to Zyphra's BCI work, building open-source EEG and brain-computer interface models across data collection, preprocessing, architecture design, and training. Includes large-scale EEG training runs and integration into real-world BCI applications. Stack includes PyTorch, Python, and multi-node GPU clusters.

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


What We're Looking For / Requirements:

  • Organized, methodical researcher who can take ownership of a project component, communicate their process clearly, and deliver a working module
  • Excellent communication and collaboration skills, with clean and concise coding practices
  • Strong implementation and prototyping skills, with comfort working across both research and engineering at scale
  • Ability to learn new domains quickly, orient oneself in the academic literature, and implement new ideas, creatively borrowing concepts from other modalities and applying them to EEG domain
  • Interest in neural data such as EEG, MEG, fMRI as well as building foundation models in a much less explored space
  • Proficiency with PyTorch and Python


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


Technologies

PyTorchPython
Zyphra
Zyphra
Website

Job details

TypeFull-time
Work ModeOn-site
LevelMid Level
Location🇺🇸San Francisco, CA
PostedNov 06, 2026
Apply Now

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