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Full Time Brain Computer Interface Jobs (NOW HIRING)

Neurable, INC

Machine Learning

Cambridge, MA

Company Description Neurable is a funded brain-computer interface (BCI) startup spun out of the University of Michigan's Direct to Brain Interface Laboratory (UM-DBI); our technology, an artificial ...

Synaptrix Labs

Internship Program

New York, NY · On-site

$18.25 - $23.75/hr

Synaptrix is on a mission to revolutionize brain-computer interfaces through non-invasive ... Potential for full-time conversion after graduation

Neurable, INC

Machine Learning

Cambridge, MA · On-site

Company Description Neurable is a funded brain-computer interface (BCI) startup spun out of the University of Michigan's Direct to Brain Interface Laboratory (UM-DBI); our technology, an artificial ...

Neuralink

Neuroengineer, Next Gen

Fremont, CA · On-site

$122K - $226K/yr

The Next Gen team at Neuralink is developing the next generation of brain-computer interfaces. We ... Base Salary Range: $122,000-$226,000 USD What We Offer: Full-time employees are eligible for the ...

Paradromics

Network Engineer

Austin, TX · On-site

Paradromics is building a brain-computer interface platform that records brain activity at the highest resolution. The Network Engineer will lead the design, optimization, and modernization of the ...

Neuralink

Analog IC Layout Engineer

Fremont, CA · On-site

$83K - $139K/yr

... brain-computer interfaces. We have crafted a team of exceptional engineers whose mission is to push ... Base Salary Range: $83,000-$139,000 USD What We Offer: Full-time employees are eligible for the ...

Neuralink

Neuroengineer Intern

South San Francisco, CA · On-site

$35/hr

The Next Gen team at Neuralink is developing the next generation of brain-computer interfaces. We ... California Hourly Rate: $35/Hr USD What We Offer: Full-time employees are eligible for the ...

Neuralink

Digital IC Design Engineer Intern

Fremont, CA · On-site

$35/hr

... brain-computer interfaces. We have crafted a team of exceptional engineers whose mission is to push ... California Hourly Flat Rate: $35/Hr USD What We Offer: Full-time employees are eligible for the ...

Paradromics

Research Engineer

Oakland, CA · On-site

$120K - $150K/yr

Paradromics is building a brain-computer interface (BCI) platform that records brain activity at the highest possible resolution: the individual neuron. AI algorithms then decode this massive amount ...

Synchron Inc.

Field BCI Specialist-Buffalo, NY

Buffalo, NY · Remote

$90K - $120K/yr

About Synchron Synchron's vision is to build non-surgical brain-computer interfaces at global scale ... Field-based -Buffalo, NY Employment Type: Full-time About the Role Clinical, patient-facing ...

Paradromics

Software Engineer

Oakland, CA · On-site

$120K - $150K/yr

Paradromics is building a brain-computer interface (BCI) platform that records brain activity at the highest possible resolution: the individual neuron. AI algorithms then decode this massive amount ...

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How much do full time brain computer interface jobs pay per hour?

As of Jun 20, 2026, the average hourly pay for full time brain computer interface in the United States is $54.94, according to ZipRecruiter salary data. Most workers in this role earn between $48.08 and $62.50 per hour, depending on experience, location, and employer.

What is a Full Time Brain Computer Interface professional?

A Full Time Brain Computer Interface (BCI) professional is someone who works exclusively on developing, researching, or implementing technology that enables direct communication between the human brain and external devices. These professionals may come from backgrounds in neuroscience, engineering, computer science, or biomedical fields. Their daily tasks often include designing BCI hardware or software, analyzing brain signals, and collaborating with interdisciplinary teams to improve BCI applications for healthcare, communication, or human augmentation. Full time roles can be found in research institutions, tech companies, and healthcare organizations, focusing on both experimental and real-world BCI solutions.

What are the key skills and qualifications needed to thrive as a Brain Computer Interface (BCI) Engineer, and why are they important?

To thrive as a Brain Computer Interface Engineer, you need a strong background in neuroscience, biomedical engineering, or computer science, often supported by advanced degrees and relevant research experience. Familiarity with signal processing tools (such as MATLAB or Python), machine learning frameworks, and specialized hardware like EEG, ECoG, or implantable devices is typically required. Strong analytical thinking, problem-solving abilities, and effective collaboration skills help candidates stand out in this interdisciplinary field. These competencies are crucial to innovating and safely developing technologies that connect neural activity with external devices, advancing both research and clinical applications.

What are some common challenges faced by professionals working in Full Time Brain-Computer Interface (BCI) roles, and how can applicants prepare for them?

Professionals in Full Time Brain-Computer Interface roles often encounter challenges such as integrating hardware and software components, ensuring data accuracy, and navigating interdisciplinary collaboration between neuroscientists, engineers, and clinicians. Adapting to rapidly evolving BCI technologies and regulatory standards can also present difficulties. Applicants can prepare by strengthening their technical foundation in neuroscience and engineering, actively seeking out collaborative projects, and staying updated on the latest industry advancements and compliance requirements.
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Full Time Brain Computer Interface jobs near you
Machine Learning

Machine Learning

Neurable, INC

Cambridge, MA

Full-time

Posted 9 days ago

Job description

Company Description

Neurable is a funded brain-computer interface (BCI) startup spun out of the University of Michigan's Direct to Brain Interface Laboratory (UM-DBI); our technology, an artificial intelligence developed by our CEO Ramses Alcaide, BCI expert and PhD neuroscience, enables people to control hardware and software in real-time with their brain via a non-invasive cap. We have enabled users to control remote control cars, computer programs, wheelchairs, and more. Currently we are directing Neurable for virtual and augmented reality applications.

Job Description

We are currently looking for a Machine Learning Scientist/Researcher to join our team.
We would like to advance our current methods of identifying brain activity, using novel machine learning algorithms to increase reliability and accuracy. You will be working alongside our team of developers, but mostly with our CEO, advancing our intellectual property. We are looking for someone who is able to, not only implement, but also, create machine learning algorithms, specifically ones that improve speed, accuracy, and the elimination of muscle artifacts. Experience working with real-time data, large datasets, brain-computer Interface, and/or EEG data is preferred.
Our ideal candidate is the type of person who constantly wants to push the boundary of what is (im)possible. We are working in a field and creating a technology with functionalities that have never existed before. At Neurable we embrace failure and respect persistence. If you like tinkering, are curious by nature, consider yourself a technologist or someone who thinks several steps ahead...we would like you to join us, or at least meet us, or come to our office and play some video games (we have all the latest VR/AR technology). We are a small group adding to the banality of "work hard, play hard" but only because it is true.
Company aside, we thoroughly enjoy:
- Fine food and beverages
- Movies and shows (during Game of Thrones season, our CEO Ramses, also a near chef, cooks everyone dinner while we watch on his 12' by 12' projector screen)
- Video games (we own every console from the ColecoVision, 1982, to the latest in virtual reality systems)
- Adventures (ask us about what happened one fateful night on Mt. Nacheesmo)
- Dogs (we have two in our office)

Qualifications

- Fluency in various machine and deep learning applications/design especially regarding neural networks (Markov chains/fields, generic algorithms, PCAs, ICAs, and ensemble methods are greatly appreciated and respected)
- Familiarity with general purpose programming languages including but not limited to: Python, C/C++, Matlab
- Strong understanding of data structures, algorithms, and design patterns
- Good written communication and documentation abilities
- Comfortable in a small, intense, and high-growth environment
- Ability to rapidly prototype real features in a startup environment
- You know and can admit when something is not great. You can recognize that something you did needs improvement - we're not all perfect
- You can respectfully tell someone else something they did is not great, because they are not perfect
- Creativity and desire to push boundaries
- Desire to create a positive change in the world
- Experience with Computer Vision, Signals Processing preferred
- Must be authorized to work in the United States

Additional Information

All your information will be kept confidential according to EEO guidelines.

Apply