Zyphra

44 Zyphra Jobs Hiring Near You

Zyphra is an artificial intelligence company based in San Francisco, California. The Role: As a Full-Stack Software Engineer , you will be a core contributor to Zyphra's Agentic Systems and ...

Zyphra is an artificial intelligence company based in San Francisco, California. The Role: As a GTM Engineer , you will be a core builder on Zyphra's GTM team, responsible for designing, deploying ...

Zyphra is an artificial intelligence company based in San Francisco, California. The Role: As a AI Engineer , you will be a core contributor to Zyphra's Agentic Systems and Interaction projects. You ...

Zyphra is an artificial intelligence company based in San Francisco, California. The Role: As a Lead Frontend Engineer , you'll lead the design and development of the user-facing side of our agentic ...

Zyphra is an artificial intelligence company based in San Francisco, California. The Role: As a Lead Frontend Engineer , you'll lead the design and development of the user-facing side of our agentic ...

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Zyphra Jobs Information

Infographic showing various job openings at Zyphra in the United States as of September 2026, with employment types broken down into 100% Full Time. Highlights an 100% Physical job distribution.

Research Engineer - Brain Computer Interface Models

San Francisco, CA • On-site

Full-time

Medical, Dental, Vision, Retirement, PTO

Re-posted 28 days ago


Job 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 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