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Internship Brain Machine Interface Jobs (NOW HIRING)

Neuralink

UI Design Engineer

South San Francisco, CA · On-site

$135K - $281K/yr

We are creating devices that enable a bi-directional interface with the brain. These devices allow ... Our team spans a wide range of disciplines, from neuroscience and machine learning to software ...

Neuralink

IACUC Administrator

Austin, TX · On-site

This role ensures the ethical and regulatory compliance of all animal research activities supporting the development of Neuralink's brain-machine interfaces. Responsibilities include: * Provide ...

Neuralink

Neuroengineer Intern

South San Francisco, CA · On-site

$35/hr

... brain-computer interfaces. We are laying the groundwork for intuitive, high-dimensional, and bidirectional interfaces between brains and machines, with the goal of helping people challenged by a ...

Neuralink

Neuroengineer, Next Gen

Fremont, CA

$122K - $226K/yr

... brain-computer interfaces. We are laying the groundwork for intuitive, high-dimensional, and bidirectional interfaces between brains and machines, with the goal of helping people challenged by a ...

Neuralink

Neuroengineer, Next Gen

Fremont, CA · On-site

$122K - $226K/yr

... brain-computer interfaces. We are laying the groundwork for intuitive, high-dimensional, and bidirectional interfaces between brains and machines, with the goal of helping people challenged by a ...

Ducommun

Supply Chain Intern

Carson, CA · On-site

$18.75 - $25.50/hr

Supply Chain Intern Ducommun is seeking summer interns to join our team for a 10-week internship ... Human Machine Interface, Motion ControlDevice, Radiofrequency Departments. Job Summary

Ducommun

Supply Chain Intern

Carson, CA

$18.75 - $25.50/hr

Supply Chain Intern Ducommun is seeking summer interns to join our team for a 10-week internship ... Human Machine Interface, Motion ControlDevice, Radiofrequency Departments. Job Summary

Neurable, INC

Machine Learning

Cambridge, MA · On-site

Company Description Neurable is a funded brain-computer interface (BCI) startup spun out of the ... We are currently looking for a Machine Learning Scientist/Researcher to join our team. We would ...

Neuralink

Machine Learning Engineer

Austin, TX · On-site

Engineers on the BCI team utilize signal processing and machine learning to communicate with the brain. You will have access to the most cutting-edge neural interface hardware and develop ...

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Internship Brain Machine Interface information

See salary details

$25.5K

$42.6K

$88K

How much do internship brain machine interface jobs pay per year?

As of Jun 17, 2026, the average yearly pay for internship brain machine interface in the United States is $42,584.00, according to ZipRecruiter salary data. Most workers in this role earn between $32,500.00 and $46,000.00 per year, depending on experience, location, and employer.

What types of projects or tasks can I expect to work on during a Brain Machine Interface internship?

As a Brain Machine Interface (BMI) intern, you'll typically assist with experimental design, data collection, and analysis involving neurophysiological signals, such as EEG or intracortical recordings. You may help develop or test algorithms for signal processing and decoding brain activity, or support the integration of hardware and software systems. Collaboration with neuroscientists, engineers, and software developers is common, so you’ll gain exposure to both research and technical development environments. Interns often have the opportunity to contribute to ongoing research publications or product development, which can be valuable experience for future roles.

What are the key skills and qualifications needed to thrive as an Internship Brain Machine Interface, and why are they important?

To thrive in a Brain Machine Interface internship, you typically need a background in neuroscience, biomedical engineering, computer science, or a related field, with coursework or experience in signal processing and neural data analysis. Familiarity with programming languages like Python or MATLAB, as well as experience with neural recording systems and data acquisition tools, is often required. Strong analytical thinking, problem-solving abilities, and effective communication skills help interns collaborate and contribute meaningfully to research teams. These skills enable interns to support innovative projects at the intersection of neuroscience and technology, ensuring they can learn quickly and add value to complex research environments.

What are Internship Brain Machine Interface positions?

Internship Brain Machine Interface positions are short-term roles typically offered to students or recent graduates to gain hands-on experience working with brain-machine interface (BMI) technologies. These internships involve assisting with research, development, and testing of systems that connect the human brain to external devices, often in fields like neuroscience, biomedical engineering, or computer science. Interns may work on tasks such as data analysis, programming, hardware development, or conducting experiments under the supervision of experienced professionals. The goal is to provide practical exposure and skill development in cutting-edge neurotechnology.

What is the difference between Internship Brain Machine Interface vs Research Assistant in Brain-Computer Interface?

AspectInternship Brain Machine InterfaceResearch Assistant in Brain-Computer Interface
Required CredentialsEnrolled in relevant undergraduate or graduate programGraduate degree or ongoing research experience in neuroscience or engineering
Work EnvironmentInternship setting, often in labs or tech companiesAcademic or research institution labs
Employer & Industry UsageTech companies, startups, research labsUniversities, research institutes, industry R&D
Common Search & Comparison IntentUnderstanding internship roles in BMIResearch roles in brain-computer interfaces

While both roles involve working with brain-machine interface technology, an Internship Brain Machine Interface typically targets students gaining initial industry experience, whereas a Research Assistant in Brain-Computer Interface usually involves more advanced research responsibilities within academic or research institutions.

More about Internship Brain Machine Interface jobs
What cities are hiring for Internship Brain Machine Interface jobs? Cities with the most Internship Brain Machine Interface job openings:
What are the most commonly searched types of Brain Machine Interface jobs? The most popular types of Brain Machine Interface jobs are:
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Internship Brain Machine Interface jobs near you
Infographic showing various Internship Brain Machine Interface job openings in the United States as of June 2026, with employment types broken down into 3% Internship, 1% As Needed, 91% Full Time, 4% Part Time, and 1% Contract. Highlights an 96% Physical, 1% Hybrid, and 3% Remote job distribution, with an average salary of $42,584 per year, or $20.5 per hour.
MRI & CT Technologist (Part-Time)

MRI & CT Technologist (Part-Time)

Neuralink

Austin, TX • On-site

Other

Posted 13 days ago

Job description

Team Description

The Medical Imaging team at Neuralink is responsible for supporting preclinical, clinical, and R&D operations across the company. Our multidisciplinary group of scientists, medical physicists, and engineers work in lockstep to test hypotheses and validate safety within preclinical models. We lead the medical imaging screening process for human participants seeking to receive the Neuralink implant, collaborating closely with Radiologists and Neurosurgeons. We drive innovation in R&D, developing new applications that leverage advanced imaging to provide critical insights for surgical planning, brain mapping, and image analysis.

About the Role

As a part-time MRI & CT Technologist at Neuralink, you will lead the scanning and acquisition efforts for our Texas-based imaging facility. You will operate the world's most advanced imaging hardware-the Siemens Magnetom Cima.X and the NAEOTOM Alpha Photon Counting CT.

This role is centered on high-fidelity data acquisition across both clinical (human) and preclinical (veterinary) studies. Beyond standard imaging, you will be responsible for the technical setup of fMRI stimulus hardware and the administration of contrast media. You will work as a core member of a multidisciplinary team alongside veterinary staff, medical physicists, engineers, and physicians to push the boundaries of neural interface technology.

Key Responsibilities:

  • Technical Acquisition: Execute complex imaging protocols including high-resolution anatomical, functional MRI (fMRI), and photon-counting CT.
  • Contrast Administration: Safely perform peripheral IV starts and administer contrast media for both MRI and CT human subjects, working under the onsite supervision of the Radiologist and Principal Investigator.
  • Stimulus Integration: Set up and troubleshoot fMRI stimulus presentation hardware (e.g., visual/auditory stimuli, response pads, and synchronization triggers).
  • Volunteer & Subject Management: Lead the scanning process for human volunteers-including safety screening and fMRI coaching-as well as preclinical veterinary subjects.
  • Surgical & Clinical Support: Partner with Neurosurgeons and Radiologists to acquire high-quality data for surgical planning, brain mapping, and safety studies.
  • Operational Excellence: Manage day-to-day scanner readiness, coordinate vendor maintenance, and maintain impeccable QA/QC records.

Position type: Part-time or Contractor

About You

We are looking for a technologist who is technically "handy"-someone who enjoys the challenge of integrating hardware and troubleshooting the signal chain between the scanner and research equipment.

Minimum Requirements:

  • Certifications: Active ARRT (MR) and ARRT (CT) certifications.
  • Texas Licensure: Active Medical Radiologic Technologist (MRT) license through the Texas Medical Board.
  • Clinical Skills: Proficiency in IV placement and contrast administration for human subjects.
  • Console Expertise: Proficiency with Siemens Syngo (via/XA) platforms.
  • Technical Proficiency: Experience or strong comfort level with fMRI hardware setups (triggers, stimulus monitors, and cabling).
  • Research Mindset: Comfort working with both human participants and veterinary subjects in a fast-paced lab environment.

Preferred Qualifications:

  • 5+ years of experience in a high-gradient MRI environment or dedicated research facility.
  • Experience working directly with Neurosurgeons or within an OR/Surgical imaging environment.
  • Prior experience with fMRI task-based scanning and peripheral hardware synchronization.
  • A deep interest in the frontier of neurotechnology and brain-machine interfaces.

Apply