Research Engineer - Brain Computer Interface Models

Zyphra Technologies

  • San Francisco, CA
  • 30+ days ago
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    Skills

    • Architectural Designunmatched
    • Artificial Intelligence (AI)unmatched
    • Communication Skillsunmatched
    • Data Collectionunmatched
    • Electroencephalography (EEG)unmatched
    • Flexible Spending Accountsunmatched
    • GPU (Graphics Processing Unit)unmatched
    • Open Sourceunmatched
    • Organizational Skillsunmatched
    • Prototypingunmatched
    • Research Skillsunmatched
    • Signal Processingunmatched
    • Team Playerunmatched
    • Time Series Analysisunmatched
    • Vision Planunmatched

    Description

    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 Were 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

    Numbers & Facts

    LocationSan Francisco, CA

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