ZipRecruiter

Log In

2

Entry Level Brain Machine Interface Jobs (NOW HIRING)

AtWork Personnel North Gwinnett

Be Seen First

Machine Line Operator

Buford, GA · On-site

$19 - $20/hr

MMI (Man-Machine Interface), CM (Calculation of Maximum Output), stranding, pelletizing ... We connect talented professionals with rewarding entry-level and management roles at some of the ...

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 ...

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 · 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

$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 ...

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 ...

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 ...

Neuralink

UI Design Engineer

Austin, TX · 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

CNC Machinist

South San Francisco, CA · On-site

$42.55 - $75.48/hr

The Machine Shop is a vital component of Neuralink's mission to develop the world's best and most manufacturable Brain-Computer Interface (BCI). Our team of skilled Machinists play a crucial role in ...

Neuralink

CNC Machinist

South San Francisco, CA · On-site

$42.55 - $75.48/hr

The Machine Shop is a vital component of Neuralink's mission to develop the world's best and most manufacturable Brain-Computer Interface (BCI). Our team of skilled Machinists play a crucial role in ...

Aerotek

SMT / Machine Operator

Tempe, AZ

$20 - $23/hr

Essential Skills * 1-2 years of CNC and Machine operation (SMT preferred, entry-level considered ... Basic computer skills (Microsoft Office and machine interfaces). * Ability to work independently ...

previous pagenext page

Showing results 21-40

All JobsHealthcare JobsMedical Specialists JobsEntry Level Brain Machine Interface Jobs

Entry Level Brain Machine Interface information

See salary details

$12

$17

$21

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

As of Sep 8, 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 is an entry level brain machine interface job?

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 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 the key skills and qualifications needed to thrive as an entry level brain machine interface 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 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 job categories do people searching Entry Level Brain Machine Interface jobs look for?

The top searched job categories for Entry Level Brain Machine Interface jobs are:

What other helpful pages are available for Entry Level Brain Machine Interface?

Other pages related to Entry Level Brain Machine Interface:

Entry Level Brain Machine Interface jobs near you
Infographic showing various Entry Level Brain Machine Interface job openings in the United States as of September 2026, with employment types broken down into 67% Full Time, and 33% Contract. Highlights an 100% In-person job distribution, with an average salary of $36,327 per year, or $17.5 per hour.

Machine Learning Engineer Intern

South San Francisco, CA • On-site

Neuralink
Biotechnology Research and Development • 201 - 500 employees
Learn more about Neuralinkexternal

$35/hr

Internship

Re-posted 26 days ago

Job description

Team Description:

The Brain Computer Interface (BCI) Applications Team is responsible for delivering a product that gives people with paralysis the ability to control computers, phones, gaming consoles, and robotic arms with their minds at the same speed and functionality level as able-bodied people can. Furthermore, the team is focused on restoring speech for mute individuals and enabling direct, natural silent communication with AI agents.  In this role, you'll work with neuroscientists, physicians, software engineers, and electrical engineers to develop the next-generation human-ready Brain-Computer Interface (BCI). 

Job Description and Responsibilities:

We are hiring a Machine Learning Engineer Intern to develop novel neural decoders to increase control speed and accuracy, improve reliability, and expand functionality of BCIs. You will play a critical role in developing machine learning solutions and driving the successful execution of projects to achieve mission critical goals. You'll work with cross-functional teams to design new BCI functionalities and novel computer user interfaces.

Required Qualifications:

  • Evidence in delivering high-impact projects either in academia or industry
  • Prior experience designing and building Machine Learning models
  • Deep understanding of machine learning concepts and fundamentals
  • Experience in analyzing complex datasets, driving insights, and communicating results in a simple and clear way to both technical and non-technical stakeholders
  • Excellent communication and collaboration skills
  • Strong coding skills, with a focus on clean, efficient, and scalable code development

Preferred Qualifications:

  • Experience working with time series or unstructured data

Expected Compensation:

The anticipated hourly rate for this position is listed below.

California Hourly Rate: 
$35/Hr USD

Apply