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Internship Brain Computer Interface Jobs in Mill Valley, CA

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 ...

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Internship Brain Computer Interface information

See Mill Valley, CA salary details

$13

$27

$47

How much do internship brain computer interface jobs pay per hour?

As of Aug 10, 2026, the average hourly pay for internship brain computer interface in Mill Valley, CA is $27.67, according to ZipRecruiter salary data. Most workers in this role earn between $22.36 and $29.33 per hour, depending on experience, location, and employer.

What is an internship brain computer interface?

An Internship in Brain-Computer Interface (BCI) involves working with cutting-edge technology that connects the human brain with computers or external devices. As an intern, you may assist in research, data collection, signal processing, machine learning, and hardware development for BCI applications. This role often requires knowledge of neuroscience, programming, and biomedical engineering. Interns typically work in labs, research institutions, or tech companies, contributing to advancements in neurotechnology.

What are the key skills and qualifications needed to thrive in the internship brain computer interface position?

To thrive as an Internship Brain Computer Interface, a foundational understanding of neuroscience, signal processing, and programming languages such as Python or MATLAB is essential, usually supported by relevant coursework or lab experience. Familiarity with brain-computer interface platforms, data analysis software, and tools like EEG acquisition systems or machine learning frameworks is often required. Strong analytical skills, adaptability, and clear communication are key soft skills for collaborating with multidisciplinary teams and presenting findings. These competencies are crucial for effectively contributing to research projects and advancing innovation in the field of brain-computer interfaces.

What types of projects or tasks are typically assigned to interns in brain computer interface positions?

Interns in Brain Computer Interface roles often work on data collection and analysis, assist in developing or enhancing algorithmic models, and support the setup and operation of hardware like EEG systems. You may also contribute to literature reviews, help validate experimental protocols, or participate in team meetings to discuss results and troubleshoot challenges. The experience provides hands-on exposure to both hardware and software aspects of BCI research, giving interns valuable skills in experimental design, data analytics, and interdisciplinary collaboration. This immersive environment prepares you for advanced academic or professional careers in neurotechnology and related fields.

What cities near Mill Valley, CA are hiring for Internship Brain Computer Interface jobs? Cities near Mill Valley, CA with the most Internship Brain Computer Interface job openings:
Infographic showing various Internship Brain Computer Interface job openings in Mill Valley, CA as of August 2026, with employment types broken down into 10% Internship, and 90% Full Time. Highlights an 90% In-person, and 10% Remote job distribution, with an average salary of $57,548 per year, or $27.7 per hour.

Research Engineer - Brain Computer Interface Models

Zyphra

San Francisco, CA โ€ข On-site

Full-time

Re-posted 26 days ago


Job description

Job Summary:
Zyphra is an artificial intelligence company based in San Francisco, California. They are seeking a Research Engineer - Brain Computer Interface Models to contribute to their BCI work by building open-source EEG and brain-computer interface models, involving data collection, preprocessing, and model training.
Responsibilities:
โ€ข Large-scale EEG model training runs and evaluation
โ€ข Architecture and training methodology ablations and innovations
โ€ข Dataset collection and preprocessing for EEG and other BCI modalities
โ€ข Performance optimization of the training stack
โ€ข Integration of models into real-world BCI applications
Qualifications:
Required:
โ€ข Organized, methodical researcher who can take ownership of a project component, communicate their process clearly, and deliver a working module
โ€ข Excellent communication and collaboration skills, with clean and concise coding practices
โ€ข Strong implementation and prototyping skills, with comfort working across both research and engineering at scale
โ€ข 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
โ€ข Interest in neural data such as EEG, MEG, fMRI as well as building foundation models in a much less explored space
โ€ข Proficiency with PyTorch and Python
Preferred:
โ€ข Experience with VAEs, GANs, diffusion models, and contrastive learning
โ€ข Familiarity with signal processing (especially for EEG) and time-series analysis
โ€ข Experience training on large-scale (multi-node) GPU clusters
โ€ข Experience contributing to large existing codebases and ramping up quickly
โ€ข Previously published machine learning research in well-respected venues
Company:
Zyphra is superintelligence research and product company based in San Francisco, California. Founded in 2021, the company is headquartered in Palo Alto, USA, with a team of 51-200 employees. The company is currently Growth Stage.