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Internship Brain Computer Interface Jobs in Seattle, WA

We are developing all the technologies needed to enable breakthrough AR glasses and VR headsets, including optics and displays, computer vision, audio, graphics, brain-computer interface, haptic ...

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Internship Brain Computer Interface information

See Seattle, WA salary details

$13

$26

$44

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

As of Aug 8, 2026, the average hourly pay for internship brain computer interface in Seattle, WA is $26.05, according to ZipRecruiter salary data. Most workers in this role earn between $21.06 and $27.64 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 job categories do people searching Internship Brain Computer Interface jobs in Seattle, WA look for? The top searched job categories for Internship Brain Computer Interface jobs in Seattle, WA are:
What cities near Seattle, WA are hiring for Internship Brain Computer Interface jobs? Cities near Seattle, WA with the most Internship Brain Computer Interface job openings:
Infographic showing various Internship Brain Computer Interface job openings in Seattle, WA as of August 2026, with employment types broken down into 1% As Needed, 82% Full Time, 13% Part Time, 3% Contract, and 1% Nights. Highlights an 80% Physical, 1% Hybrid, and 19% Remote job distribution, with an average salary of $54,194 per year, or $26.1 per hour.

Research Scientist III

Infotech Sourcing

Redmond, WA โ€ข On-site

Full-time

Re-posted 2 days ago


Job description

Research Scientist III
Location: Redmond WA Onsite
Duration: 12 months with possible extension.
Meta Reality Labs brings together a world-class team of researchers, developers, and engineers to create the future of virtual and augmented reality, which together will become as universal and essential as smartphones and personal computers are today. And just as personal computers have done over the past 45 years, AR and VR will ultimately change everything about how we work, play, and connect. We are developing all the technologies needed to enable breakthrough AR glasses and VR headsets, including optics and displays, computer vision, audio, graphics, brain-computer interface, haptic interaction, eye/hand/face/body tracking, perception science, and true telepresence. Some of those will advance much faster than others, but they all need to happen to enable AR and VR devices that are so compelling they become an integral part of our lives.
Beyond working within current paradigms to realize our vision, Reality Labs is heavily
invested in materials research and development at the fundamental level. This involves,
but is not limited to, designing and characterizing materials yet to be discovered, for highly
specific applications.
Responsibilities:
The position involves designing, building and automating an established workflow for the experimental screening of organic materials. Built on current in-house processes, this will streamline data acquisition required for the development of novel optoelectronic materials.
Develop next-generation optoelectronic materials with an emphasis on advanced design, fabrication, and analysis, to prove new concepts and understand the potential impact of those concepts.
Collaborate with the larger Meta Reality Labs Research team to holistically understand current goals, limitations, and bottlenecks in the wider AR/VR space.
Build with and develop an intimate understanding of equipment designed for high-throughput experiments.
Design and automate novel crystal growth, processing, and analysis techniques, with a focus on highly specific components and devices.
Communicate results internally and with external partners.
Assist in the translation of research results to practical application in Meta product development.
Minimum Qualifications:
PhD or Masters in Physics, Chemistry, Optical Science and Engineering, Electrical Engineering, or relevant technical field.
Must obtain work authorization in the country of employment at the time of hire and maintain ongoing work authorization during employment.
Experience programming hardware interfaces (e.g., serial/I2C/SPI communication, DAQ systems, motion control) using Python, LabVIEW, C, or similar languages.
2+ years experience in at least one of the following areas: chemistry, materials, organic materials, crystallization, nucleation, solid state analysis, optoelectronic materials.
2+ years experience, experimental laboratory work (i.e., demonstrated ability to take concepts, adapt them and translate them to the bench-top).
Preferred Qualifications:
Proven track record of achieving significant results as demonstrated by grants, fellowships, patents, as well as first-authored publications at relevant high-impact journals.
Experience with solid-state analysis: e.g. diffuse reflectance, XRD, spectroscopy, DSC, optical microscopy.
Experience with crystallographic software (e.g. CCDC suite, BGMN, Profex, Olex2).
Experience with HPLC, LC-MS, UV/Vis and/or GC.
Experience working and communicating cross functionally in a team environment.
Experience with crystal growth and related concepts (e.g. supersaturation, nucleation, etc.).
Top 3 must-have
HARD skills:Experience programming hardware interfaces (e.g., serial/I2C/SPI communication, DAQ systems, motion control) using Python, LabVIEW, C, or similar languages.
2+ years experience in at least one of the following areas: chemistry, materials, organic materials, crystallization, nucleation, solid state analysis, optoelectronic materials.
2+ years experience, experimental laboratory work (i.e., demonstrated ability to take concepts, adapt them and translate them to the bench-top).
Good to have skills:
Working with organic crystals - and solubility of compounds
Previous experience with CAD software is asset
Experience with frequent report writing
PhD or Masters in Physics, Chemistry, Optical Science and Engineering, Electrical Engineering, or relevant technical field