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Entry Level Brain Machine Interface Jobs (NOW HIRING)

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 ...

Neurable, INC

Machine Learning

Cambridge, MA

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 ...

Synaptrix Labs

Internship Program

New York, NY

$18.25 - $23.75/hr

Software Engineering, Hardware Engineering, Machine Learning Research, Industrial Design, and UI/UX Design. If you're excited about building the future of brain-computer interfaces and want to work ...

Synaptrix Labs

Internship Program

New York, NY

$18.25 - $23.75/hr

Software Engineering, Hardware Engineering, Machine Learning Research, Industrial Design, and UI/UX Design. If you're excited about building the future of brain-computer interfaces and want to work ...

Synaptrix Labs

Internship Program

New York, NY · On-site

$18.25 - $23.75/hr

Software Engineering, Hardware Engineering, Machine Learning Research, Industrial Design, and UI/UX Design. If you're excited about building the future of brain-computer interfaces and want to work ...

HuFriedyGroup

CNC Machine Operator

Northbrook, IL

$16 - $20/hr

As needed Experience Level: Entry-Level (0-2 years manufacturing experience) Education: High School ... CNC machine interfaces (training provided) * Inspection Tools: Calipers, basic gages, scales ...

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 ...

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How much do entry level brain machine interface jobs pay per hour?

As of May 30, 2026, the average hourly pay for entry level brain machine interface in the United States is $17.46, according to ZipRecruiter salary data. Most workers in this role earn between $15.62 and $18.99 per hour, depending on experience, location, and employer.

What are the key skills and qualifications needed to thrive as an Entry Level Brain Machine Interface (BMI) Engineer, and why are they important?

To thrive as an Entry Level Brain Machine Interface Engineer, you typically need a background in biomedical engineering, neuroscience, computer science, or a related field, along with foundational knowledge in signal processing and neural data analysis. Familiarity with programming languages such as Python or MATLAB, experience with EEG or similar neurotechnology systems, and sometimes basic hardware prototyping are important technical skills. Strong problem-solving abilities, attention to detail, and collaborative communication help you excel in multidisciplinary teams. These skills ensure you can contribute effectively to the development and optimization of BMI technologies that require precision, innovation, and teamwork.

What types of projects or tasks can an Entry Level Brain Machine Interface specialist expect to work on in the first year?

As an Entry Level Brain Machine Interface (BMI) specialist, you can expect to be involved in tasks like assisting with data collection from neural devices, preprocessing and analyzing neural signals, and supporting the development or testing of BMI software and hardware. You'll often work closely with multidisciplinary teams, including neuroscientists, engineers, and software developers, to contribute to ongoing research or product development. Early responsibilities might also include literature reviews, troubleshooting experimental setups, and helping manage lab equipment. This hands-on experience provides a strong foundation for advancing into more specialized roles as you gain expertise.

What are entry level brain machine interface jobs?

Entry level brain machine interface (BMI) jobs are positions for individuals starting their careers in the field of brain-computer or brain-machine interfaces. These roles typically involve assisting with research, data collection, analysis, and supporting the development of technologies that connect the brain with external devices. Candidates often have backgrounds in neuroscience, biomedical engineering, computer science, or related fields. Responsibilities may include running experiments, processing neural data, developing software, or supporting hardware integration. These positions provide foundational experience for advancing in the rapidly growing BMI industry.

What is the difference between Entry Level Brain Machine Interface vs Entry Level Neural Engineer?

AspectEntry Level Brain Machine InterfaceEntry Level Neural Engineer
Required CredentialsBachelor's in neuroscience, engineering, or related field; basic understanding of signal processingBachelor's or master's in neuroscience, biomedical engineering, or related; knowledge of neural systems
Work EnvironmentResearch labs, tech companies, healthcare settingsResearch institutions, biotech firms, healthcare facilities
Industry UsageDeveloping brain-computer interfaces, neuroprostheticsDesigning neural interfaces, analyzing neural data

While both roles involve working with neural data and technologies, Entry Level Brain Machine Interface focuses on developing and implementing brain-computer interfaces, whereas Entry Level Neural Engineer emphasizes designing neural systems and analyzing neural signals. Both require a background in neuroscience or engineering and are common in research and tech industries.

What are the most commonly searched types of Brain Machine Interface jobs? The most popular types of Brain Machine Interface jobs are:
What states have the most Entry Level Brain Machine Interface jobs? States with the most job openings for Entry Level Brain Machine Interface jobs include:
Entry Level Brain Machine Interface jobs near you
Machine Learning

Machine Learning

Neurable, INC

Cambridge, MA • On-site

Full-time

Posted 19 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.

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