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Internship Brain Machine Interface Jobs in Berkeley, CA

Atoms

Senior Machine Learning Engineer

San Francisco, CA · On-site

$144K - $190K/yr

... interfaces, and GPUs on edge devices. • Benchmark and deploy models utilizing hardware ... Required : • 4+ years of non-internship professional MLE experience. • Deep expertise in ...

Atoms

Senior Machine Learning Engineer

San Francisco, CA · On-site

$144K - $190K/yr

... interfaces, and GPUs on edge devices. • Benchmark and deploy models utilizing hardware ... Required : • 4+ years of non-internship professional MLE experience. • Deep expertise in ...

Alljoined

Software Engineer

San Francisco, CA · On-site

... brain-computer interfaces Qualifications : Required : • 5+ years of production software ... Preferred : • Experience developing internal libraries, SDKs, or tooling that powers machine ...

Neuralink

Robot Optics Intern

South San Francisco, CA · On-site

$35/hr

We are creating devices that enable a bi-directional interface with the brain. These devices allow ... Key subsystems include 2D and 3D machine vision cameras, optical coherence tomography, and surgical ...

Atoms

Senior Machine Learning Engineer

San Francisco, CA · On-site

$144K - $190K/yr

... interfaces, and GPUs on edge devices. • Benchmark and deploy models utilizing hardware ... Required : • 4+ years of non-internship professional MLE experience. • Deep expertise in ...

Alljoined

Computational Neuroscientist

San Francisco, CA · On-site

$120K - $160K/yr

... from the brain, entirely non-invasively. We apply deep learning research to large scale EEG ... Our goal is to develop a general consumer interface to completely transform how we can live our ...

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All JobsBrain Machine Interface JobsInternship Brain Machine Interface JobsInternship Brain Machine Interface Jobs in Berkeley, CA

Internship Brain Machine Interface information

See Berkeley, CA salary details

$31.2K

$52.1K

$107.8K

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

As of Aug 7, 2026, the average yearly pay for internship brain machine interface in Berkeley, CA is $52,141.00, according to ZipRecruiter salary data. Most workers in this role earn between $39,800.00 and $56,300.00 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?

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 is an internship brain machine interface?

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.

What are popular job titles related to Internship Brain Machine Interface jobs in Berkeley, CA? For Internship Brain Machine Interface jobs in Berkeley, CA, the most frequently searched job titles are:
What job categories do people searching Internship Brain Machine Interface jobs in Berkeley, CA look for? The top searched job categories for Internship Brain Machine Interface jobs in Berkeley, CA are:
What cities near Berkeley, CA are hiring for Internship Brain Machine Interface jobs? Cities near Berkeley, CA with the most Internship Brain Machine Interface job openings:
Internship Brain Machine Interface jobs near you

Microfabrication Technician (Second Shift)

Neuralink

Fremont, CA • On-site

$28.76/hr

Full-time, Other

Medical, Dental, Vision, Retirement

Re-posted 12 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 Microfabrication Team, a division of the Brain Interfaces Hardware Department, designs, manufactures, and verifies the thin-film microelectrode array that records and relays neural signals to the body of the implant. The team operates at an in-house cleanroom facility in Fremont, with operations expanding to Austin in the near future.
Job Description and Responsibilities:
As a Microfabrication Technician (Second Shift) at Neuralink, you will be responsible for the production of our thin-film microelectrode arrays, collaborating with engineers to maintain equipment and processes within specification, and working to improve array throughput. As such, you will be instrumental in ramping production and accelerating Neuralink's progress.
Note: Second shift schedule will be 6 pm to 2 am, Monday through Friday.
Additional responsibilities will include:
  • Operating equipment such as ASML, photoresist spin coater, reactive ion etcher, e-beam evaporator, sputter physical vapor deposition system, plasma enhanced chemical vapor deposition, and wet processing stations
  • Troubleshooting and maintaining equipment and equipment calibration and performance
  • Creating and maintaining process documentation and equipment documentation, including daily process logs and equipment logs
  • Actively collecting data and visually detecting defects on production lines in a fast-paced environment
  • Assisting in data analysis of throughput, quality, and repeatability of manufacturing processes
  • Ensuring product quality and conformance to design requirements
  • Collaborating with engineers to refine, troubleshoot, and improve processes while maintaining or enhancing product quality and yield
  • Keeping a clean, organized, and thoroughly-maintained cleanroom or workspace
  • Testing the finished thin-film arrays to ensure that they meet the required specifications or standards

Required Qualifications:
  • High school diploma or equivalent
  • Excellent verbal and written communication
  • Resourceful, flexible, and adaptable; no task is too big or too small
  • Strong self-discipline and organizational skills
  • Ability to work in a medical device regulatory environment
  • Ability to thrive in a dynamic and constantly changing environment
  • Ability to work 6 pm to 2 am Monday through Friday, ending on Saturday morning

Preferred Qualifications:
  • 2+ years of hands-on experience working in a cleanroom or lab where precision is critical
  • Solid understanding of basic physics and engineering fundamentals
  • Demonstrated ability to interpret, distill, and disseminate relevant technical information

Additional Requirements and Competencies:
  • Ability to travel to and work at other manufacturing locations such as Austin, Texas
  • Ability to lift and transfer up to 25 pounds
  • Ability to spend long periods standing and walking within a cleanroom environment
  • Ability to work 6 pm to 2 am, Monday through Friday

Expected Compensation:
At Neuralink, your base pay is one part of your total compensation package. The anticipated hourly rate for this position is expected to be within the below range. Your actual base pay will be determined by your job-related skills, experience, and relevant education or training.
California Hourly Range: $28.76/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

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