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Director Brain Computer Interface Jobs (NOW HIRING)

Our translational brain computer interface and pioneering models decode emotion, putting experience and wellbeing at the center of every interaction. Our wearable BCI achieves fMRI-comparable ...

About the Role As a Research Intern , you will contribute to building the computational infrastructure that powers our breakthrough brain-computer interface research. You'll work at the intersection ...

Company Description Neurable is a funded brain-computer interface (BCI) startup spun out of the University of Michigan's Direct to Brain Interface Laboratory (UM-DBI); our technology, an artificial ...

Company Description Neurable is a funded brain-computer interface (BCI) startup spun out of the University of Michigan's Direct to Brain Interface Laboratory (UM-DBI); our technology, an artificial ...

... brain-computer interface (BCI) to heal and empower millions of people living with neurological ... Board of Directors to cross‑functional scientific and commercial teams. * Bachelor's degree ...

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Director Brain Computer Interface information

What are the key skills and qualifications needed to thrive as a Director of Brain-Computer Interface, and why are they important?

To thrive as a Director of Brain-Computer Interface, you need advanced expertise in neuroscience, biomedical engineering, and computer science, typically supported by a PhD or relevant graduate degree. Familiarity with neural signal processing, machine learning algorithms, regulatory compliance, and BCI development platforms is crucial, along with experience in managing multidisciplinary research teams. Exceptional leadership, strategic vision, and strong communication skills help drive innovation and foster collaboration across diverse technical and clinical stakeholders. These competencies are vital for guiding the successful development, implementation, and commercialization of cutting-edge BCI technologies.

What does a Director of Brain-Computer Interface do?

A Director of Brain-Computer Interface (BCI) oversees the development, research, and implementation of technologies that enable direct communication between the brain and external devices. This role typically involves leading multidisciplinary teams, setting strategic direction for BCI projects, and ensuring compliance with ethical and regulatory standards. Directors often collaborate with neuroscientists, engineers, and clinicians to advance BCI technology for medical, research, or commercial applications. They are responsible for driving innovation while managing budgets, timelines, and stakeholder expectations.

How does a Director of Brain Computer Interface typically collaborate with cross-functional teams to drive innovation?

A Director of Brain Computer Interface often works closely with neuroscientists, software engineers, hardware designers, and clinical experts to lead the development of advanced BCI solutions. They facilitate communication between technical and non-technical stakeholders, ensuring that project objectives align with both scientific goals and user needs. Regular meetings, collaborative research, and iterative product development are key aspects of this collaboration, fostering an environment where interdisciplinary expertise can drive breakthroughs in brain-computer technology.
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Infographic showing various Director Brain Computer Interface job openings in the United States as of July 2026, with employment types broken down into 5% As Needed, 69% Full Time, 19% Part Time, 1% Temporary, 5% Contract, and 1% Nights. Highlights an 96% Physical, 1% Hybrid, and 3% Remote job distribution.

Research Engineer - Brain Computer Interface Models

Zyphra

San Francisco, CA • On-site

Full-time

Medical, Dental, Vision, Retirement, PTO

Re-posted 15 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