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Director Brain Computer Interface Jobs (NOW HIRING)

The Next Gen team at Neuralink is developing the next generation of brain-computer interfaces. We are laying the groundwork for intuitive, high-dimensional, and bidirectional interfaces between ...

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 ...

Research Scientist, BCI-New York

Brooklyn, NY ยท On-site

$150K - $220K/yr

About Synchron Synchron's vision is to build non-surgical brain-computer interfaces at global scale that protect the fundamental human rights of freedom of expression and autonomy. Our first mission ...

Internship Program

New York, NY

$18.25 - $23.75/hr

Synaptrix is on a mission to revolutionize brain-computer interfaces through non-invasive approaches. We believe that the power to diagnose and treat neurological conditions safely, and to expand ...

Internship Program

New York, NY

$18.25 - $23.75/hr

Synaptrix is on a mission to revolutionize brain-computer interfaces through non-invasive approaches. We believe that the power to diagnose and treat neurological conditions safely, and to expand ...

Internship Program

New York, NY ยท On-site

$18.25 - $23.75/hr

Synaptrix is on a mission to revolutionize brain-computer interfaces through non-invasive approaches. We believe that the power to diagnose and treat neurological conditions safely, and to expand ...

Team Description The Next Gen team at Neuralink is developing the next generation of brain-computer interfaces. We are laying the groundwork for intuitive, high-dimensional, and bidirectional ...

The Brain Interfaces Soc Department delivers chip architecture and silicon implementation of neural recording and stimulation system-on-chip (SoC) for high-bandwidth brain-computer interfaces. We ...

Neuroengineer, Next Gen

Fremont, CA ยท On-site

$122K - $226K/yr

The Next Gen team at Neuralink is developing the next generation of brain-computer interfaces. We are laying the groundwork for intuitive, high-dimensional, and bidirectional interfaces between ...

Research Engineer

Oakland, CA ยท On-site

$120K - $150K/yr

Paradromics is building a brain-computer interface (BCI) platform that records brain activity at ... With the brain in direct communication with digital devices, we can leverage technology to ...

Software Engineer

Oakland, CA ยท On-site

$120K - $150K/yr

Paradromics is building a brain-computer interface (BCI) platform that records brain activity at ... With the brain in direct communication with digital devices, we can leverage technology to ...

Paradromics is building a brain-computer interface (BCI) platform that records brain activity at ... With the brain in direct communication with digital devices, we can leverage technology to ...

Paradromics is building a brain-computer interface (BCI) platform that records brain activity at ... With the brain in direct communication with digital devices, we can leverage technology to ...

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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.

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.

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.
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Infographic showing various Director Brain Computer Interface job openings in the United States as of May 2026, with employment types broken down into 100% Full Time. Highlights an 100% In-person job distribution.

Applied AI Scientist, Language & Context

Echo Neurotechnologies

San Francisco, CA โ€ข On-site

Full-time

Retirement

Posted 27 days ago


Job description

Company Overview
Echo Neurotechnologies is an exciting new startup in the Brain-Computer Interface (BCI) space, driving innovation through advanced hardware engineering and AI solutions. Our mission is to deliver cutting-edge technologies that restore autonomy to people living with disabilities and improve their quality of life.
Team Culture
Join a small, dedicated team of knowledgeable and motivated professionals. Our early-stage environment offers the opportunity to take ownership of broad decisions with significant and long-lasting impact. We emphasize continuous learning and growth, fostering cross-functional collaboration where your contributions are vital to our success.
Job Summary
We are seeking an experienced Applied AI Scientist, with a focus on language & context modeling, to join our team. The person who fills this role will apply ML/AI principles and practices to designing, developing, fine-tuning, personalizing, and miniaturizing flexible language and context models for use within brain-computer interface applications to have real-world impact on patients with physical disabilities.
Key Responsibilities
  • Language modeling
    • Leverage a deep understanding of LMs to create custom solutions for brain-computer interface applications, including LLM fine-tuning, customization, and dissection
    • Explore a variety of LM strategies of various scales and complexities for tailored integration into other decoding pipelines
    • Characterize agentic AI tools for suitability in product user interfaces
  • Context modeling
    • Design and build ML pipelines capable of performing flexible, real-time inference with multiple input streams
    • Deploy custom or off-the-shelf state-of-the-art models for parsing audio, video, and application states
    • Perform context engineering to aggregate and model contextual information for use in downstream decoders
  • General ML practices & company standards
    • Model dissection and interpretability to extract information-rich latent representations from large models (e.g. pretrained foundation models) for broad and generalized use in other models
    • Model miniaturization for low-latency and computationally inexpensive processing
    • Work collaboratively and effectively within a small, cross-functional team to hit both R&D and product-focused goals
    • Maintain versioned, clear, and highly documented code, analysis pipelines, and results for maximum interpretability and reproducibility
    • Contribute to documentation for a Quality Management System, as appropriate and relevant to ML implementations that become part of medical products
Required Qualifications
  • Bachelor's or Master's degree in Math, Engineering, Data Science, or other relevant quantitative field
  • A minimum of 5 years of combined academic and professional ML experience
  • Experience deploying ML models in an industry setting
  • Experience designing, developing, and deploying LM models in an industry setting
  • Experience designing, training, and evaluating transformers
  • Proficiency in Python and PyTorch
  • Proficiency in using GPUs and GPU software toolkits to accelerate ML pipelines

Preferred Qualifications
  • Experience working with reinforcement learning, LLM alignment and safety, and multilingual modeling
  • Experience developing foundation models and applying transfer-learning techniques
  • Experience working with high-dimensional time-series datasets
  • Experience working on medical or clinical applications
  • Experience translating methods described in scientific publications to available datasets
  • Experience working with speech-recognition, video-processing, and application-parsing models
What We Offer
  • An opportunity to work on exciting, cutting-edge projects to transform patients' lives in a highly collaborative work environment.
  • Competitive compensation, including stock options.
  • Comprehensive benefits package.
  • 401(k) program with matching contributions.

Equal Opportunity Employer
Echo Neurotechnologies is an Equal Opportunity Employer (EOE). We celebrate diversity and are committed to creating an inclusive environment for all employees.
Confidentiality
All applications will be treated confidentially. Applicants may be asked to sign an NDA after the initial stages of the interview process.