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Zyphra

Research Engineer - Brain Computer Interface Models

  • Seen live on Zyphra's site today
  • Mid level
Pay
Not stated
Location
San Francisco
Open for
12+ days
First seen
Oct 23, 2026
Apply on Zyphra's site (opens in a new tab)

Posting record

No flags

Open 12+ days

The posting's record, oldest first
  1. Zyphra's site dates the posting
  2. Ghostless first sees this listing
  3. Last checked: still up
How we know

It hasn't been reposted, listed twice, or left up unusually long, and the posting doesn't say it's a talent pool.

Ghostless records the day it first sees a posting, so a repost can't reset its age. This one was already up when Ghostless started tracking Zyphra, so its true age is longer.

Last checked Nov 4, 2026.

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What the posting discloses

Not stated: Pay, real vacancy, AI screening.

Why these three

Ontario requires postings from employers with 25 or more staff to state the pay, whether the vacancy exists, and whether AI screens applicants.

Some employers add pay only on their own site. Check the original posting before you rule it out.

Skills mentioned

About the role

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

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