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Brain Machine Interface Intern Jobs (NOW HIRING)

Machine Learning Engineer

Austin, TX · On-site

$199K - $331K/yr

We are creating devices that enable a bi-directional interface with the brain. These devices allow ... About the Role: Engineers on the BCI team utilize signal processing and machine learning to ...

The Alterations Intern will be increasing their skill sets by preparing garments for sewing by hand and machine, pressing, steaming and customer service. Essential Job Functions: * Interface with ...

The Alterations Intern will be increasing their skill sets by preparing garments for sewing by hand and machine, pressing, steaming and customer service. Essential Job Functions: * Interface with ...

The Alterations Intern will be increasing their skill sets by preparing garments for sewing by hand and machine, pressing, steaming and customer service. Essential Job Functions: * Interface with ...

NY · On-site

$1.6K - $3.1K/wk

As an intern, you will work closely with experienced controls engineers, contributing to real-world ... Machine Interface) development, and SCADA (Supervisory Control and Data Acquisition) systems.

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Brain Machine Interface Intern information

See salary details

$25.5K

$42.6K

$88K

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

As of Sep 10, 2026, the average yearly pay for brain machine interface intern 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 does a brain machine interface intern do?

A Brain Machine Interface (BMI) Intern assists in the research and development of technologies that connect the human brain to computers or external devices. Their responsibilities may include collecting and analyzing neural data, developing software for signal processing, and supporting experiments involving neural interfaces. Interns often work alongside neuroscientists, engineers, and software developers to help advance BMI systems, contributing to innovations in healthcare, assistive technologies, and neuroscience research.

What are the key skills and qualifications needed to thrive as a brain machine interface intern?

To thrive as a Brain Machine Interface Intern, you generally need a strong background in neuroscience, computer science, or biomedical engineering, supported by relevant coursework or research experience. Familiarity with programming languages like Python or MATLAB, experience with data analysis tools, and exposure to neural signal processing systems are typically required. Strong problem-solving abilities, attention to detail, and effective collaboration are valuable soft skills in this role. These competencies are vital for contributing to innovative research, ensuring accurate data interpretation, and working efficiently within multidisciplinary teams.

What are some common challenges faced by brain machine interface interns during their projects?

Brain Machine Interface (BMI) Interns often encounter challenges such as translating complex neuroscience concepts into practical engineering solutions and working with noisy or limited neural data. Collaborating effectively with multidisciplinary teams—including neuroscientists, engineers, and software developers—is also essential, as is adapting to rapidly evolving technologies and research findings in the field. Being proactive in seeking guidance and staying current with the latest publications can help interns navigate these hurdles and make meaningful contributions to their projects.

What is the difference between Brain Machine Interface Intern vs Brain Machine Interface Research Assistant?

AspectBrain Machine Interface InternBrain Machine Interface Research Assistant
Required CredentialsUndergraduate or early graduate students, relevant coursework in neuroscience, engineering, or computer scienceGraduate students or recent graduates with specialized knowledge in neuroscience or biomedical engineering
Work EnvironmentInternship programs in labs or tech companies, hands-on project workResearch labs, academic institutions, or industry R&D teams, more independent responsibilities
Employer & Industry UsageTech companies, startups, research institutions focusing on neural interfacesUniversities, research institutes, biotech firms conducting advanced neural research

The main difference is that Brain Machine Interface Interns are typically undergraduate students gaining initial experience, while Research Assistants are more advanced, often graduate-level, with greater responsibilities in neural interface research.

What are the most commonly searched types of Brain Machine Interface jobs?

The most popular types of Brain Machine Interface jobs are:

What are popular job titles related to Brain Machine Interface Intern jobs?

For Brain Machine Interface Intern jobs, the most frequently searched job titles are:

Infographic showing various Brain Machine Interface Intern job openings in the United States as of August 2026, with employment types broken down into 83% Full Time, 11% Part Time, 1% Temporary, 2% Contract, and 3% Nights. Highlights an 93% Physical, 1% Hybrid, and 6% Remote job distribution, with an average salary of $42,584 per year, or $20.5 per hour.

R&D Materials Engineer Intern

South San Francisco, CA • On-site

Neuralink
Biotechnology Research and Development • 201 - 500 employees

$35/hr

Full-time, Internship

Medical, Dental, Vision, Retirement

Re-posted 24 days ago


Job description

About Neuralink:
We are creating devices that enable a bi-directional interface with the brain. These devices allow us to restore movement to the paralyzed, restore sight to the blind, and revolutionize how humans interact with their digital world.
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 interfaces between brains and machines, with the goal of helping people challenged by a variety of neurological disorders and conditions. Our team consists of scientists and engineers, working closely together to define the engineering requirements for these future products.
Join Neuralink's Next-Gen team to help push the boundaries of what's possible in brain-computer interfaces.
Job Description and Responsibilities:
As an R&D Materials Engineer intern, you'll interact with technical teams across the company to develop new ideas, materials, and processes that drive our next generation of implants forward. You'll work closely with scientists and engineers to explore innovative concepts, perform rigorous benchtop testing, troubleshoot experimental setups, and analyze results. Successful candidates will be highly adaptable, able to deploy their core technical and creative skills to tackle a wide range of problems, and have a keen sense of urgency. You must thrive in an intense, mission-driven, and collaborative environment. Additionally, you will:
  • Contribute to the development of next-generation microelectrode materials, partnering with the microfabrication team to bring concepts from idea to hardware
  • Develop novel solutions for electrode-tissue interfaces to enhance electrode sensitivity and interface longevity
  • Perform materials characterization and surface chemistry experiments on candidate materials and implant components
  • Design and fabricate custom test fixtures to enable new experiments
  • Execute on established protocols and independently design new experiments as the project demands
  • Troubleshoot, iterate, and communicate findings clearly to the team

Required Qualifications:
  • Evidence of exceptional ability in Materials Engineering, Chemical Engineering, Biomedical Engineering, Chemistry, or a related field
  • 2+ years of academic or industry experience
  • Strong understanding of the scientific method and engineering first principles
  • Strong organizational skills and exceptional attention to detail
  • Experience with chemical handling and safe lab practices
  • Outstanding communication skills; thrives in an interdisciplinary environment

Preferred Qualifications:
  • Proficiency in SolidWorks or other CAD software
  • Familiarity and experience with surface characterization techniques (e.g., contact angle, FTIR, XPS, AFM)
  • Experience with microscopy
  • Experience with electrochemistry

Expected Compensation:
The anticipated hourly rate for this position is listed below.
California Hourly Flat Rate:$35/Hr USD
What We Offer:
Full-time employees are eligible for the following benefits listed below.
  • An opportunity to change the world and work with some of the smartest and most talented experts from different fields
  • Growth potential; we rapidly advance team members who have an outsized impact
  • Excellent medical, dental, and vision insurance through a PPO plan
  • Paid holidays
  • Commuter benefits
  • Meals provided
  • Equity (RSUs) *Temporary Employees & Interns excluded
  • 401(k) plan *Interns initially excluded until they work 1,000 hours
  • Parental leave *Temporary Employees & Interns excluded
  • Flexible time off *Temporary Employees & Interns excluded