Research Engineer - Brain Computer Interface Models

Zyphra; San Francisco (CA); On-site; USD 120,000 - 150,000; Full time

Benefits offered by this job

Comprehensive medical, dental, vision, and FSA plans

Competitive compensation and 401(k) plan

Relocation and immigration support

In-office snacks and meals provided

Unlimited PTO and company holidays

Collaborative, high-energy environment

Job summary

An innovative AI company based in San Francisco is seeking a Research Engineer focused on Brain-Computer Interface models. You will contribute to building open-source EEG models and support all stages of development from data collection to integration in real-world applications. The ideal candidate is organized, skilled in communication, and proficient in PyTorch and Python, with a strong interest in neural data. A collaborative, energetic team environment is essential, along with comprehensive benefits and perks.

Qualifications

• Organizational skills and project ownership.
• Communication and collaboration in coding.
• Strong prototyping abilities across research and engineering.
• Fast learner with ability to navigate academic literature.
• Interest in neural data like EEG and fMRI.
• Fluency in PyTorch and Python.

Responsibilities

• Contribute to building open-source EEG and brain-computer interface models.
• Engage in large-scale EEG training runs and evaluations.
• Innovate on architecture and training methodologies.
• Collect and preprocess datasets for EEG and BCI modalities.
• Optimize performance of the training stack.
• Integrate models into real-world BCI applications.

Skills

Organized, methodical researcher who can take ownership of a project

Excellent communication and collaboration skills

Strong implementation and prototyping skills

Ability to learn new domains quickly

Interest in neural data

Proficiency with PyTorch and Python

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