Research Engineer - Brain Computer Interface Models Job at Zyphra in San Francis
Zyphra, San Francisco, CA, United States
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
#J-18808-Ljbffr
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
#J-18808-Ljbffr