ZipRecruiter

Log In

1

Brain Machine Interface Jobs (NOW HIRING)

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 ...

Alljoined

Machine Learning Researcher

San Francisco, CA · On-site

$140K - $250K/yr

... brain-computer interfaces. This role sits at the intersection of ambitious research and rigorous ... Collaborate with neuroscientists and machine learning engineers to build scalable, end-to-end ...

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 ...

Enboarder

Machine Learning Engineer

Boca Raton, FL · On-site

$150 - $200/hr

Summary We are seeking a Machine Learning Engineer to build the "active brain" of our patient ... Patient Engagement Agents Build and optimize conversational AI interfaces that handle message ...

Dell Medical School

Research Associate II

Austin, TX · On-site

$47K/yr

Demonstrated expertise in EEG-based brain-computer interfaces (BCIs). * Knowledge of signal processing, machine learning, statistical analysis, and scientific research methodologies. * Ability to ...

Neuralink

Neuroengineer, Next Gen

Austin, TX · On-site

... 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 ...

Neuralink

Neuroengineer Intern

South San Francisco, CA · On-site

$35/hr

... 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 ...

previous page

Showing results 41-60

All JobsBrain Machine Interface Jobs

Brain Machine Interface information

See salary details

$13

$22

$31

How much do brain machine interface jobs pay per hour?

As of Sep 8, 2026, the average hourly pay for brain machine interface in the United States is $22.82, according to ZipRecruiter salary data. Most workers in this role earn between $19.71 and $25.48 per hour, depending on experience, location, and employer.

What is a brain machine interface?

A Brain Machine Interface (BMI) job involves developing technologies that connect the human brain with computers or external devices. Professionals in this field work on designing, testing, and improving neural interfaces to restore lost sensory or motor functions, enhance cognitive abilities, or enable direct brain communication with machines. Roles may include neuroscientists, engineers, and software developers collaborating to advance BMI applications in healthcare, assistive technology, and neuroprosthetics.

What are the typical daily responsibilities of someone working in a brain machine interface position?

Professionals in Brain Machine Interface roles usually divide their time between designing experiments, analyzing neural data, developing and testing interface prototypes, and collaborating with cross-disciplinary teams such as neuroscientists, engineers, and clinicians. They may also be involved in writing technical documentation, participating in regulatory compliance activities, and keeping up with the latest scientific literature. Depending on the project, work can flow between laboratory research and computational tasks, requiring flexibility and an eagerness to learn new techniques. The environment is often collaborative and research-focused, providing ample opportunities to contribute to exciting advancements in neurotechnology.

What are the key skills and qualifications needed to thrive in the brain machine interface position, and why are they important?

To thrive in a Brain Machine Interface (BMI) role, you need a strong background in neuroscience, biomedical engineering, computer science, or a related field, often supported by advanced degrees or specialized training. Proficiency with signal processing software (such as MATLAB or Python), brain imaging tools, and hardware prototyping is typically required, along with familiarity with regulatory standards. Strong problem-solving skills, collaboration, and attention to detail help individuals excel in multi-disciplinary teams working at the intersection of biology and technology. These competencies are crucial for developing safe, effective interfaces and driving innovation in this fast-evolving field.

More about Brain Machine Interface jobs

What cities are hiring for Brain Machine Interface jobs?

Cities with the most Brain Machine Interface job openings:

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 Brain Machine Interface jobs?

States with the most job openings for Brain Machine Interface jobs include:

What job categories do people searching Brain Machine Interface jobs look for?

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

What other helpful pages are available for Brain Machine Interface?

Other pages related to Brain Machine Interface:

Brain Machine Interface jobs near you
Infographic showing various Brain Machine Interface job openings in the United States as of September 2026, with employment types broken down into 1% Internship, 84% Full Time, 9% Part Time, 1% Temporary, 2% Contract, and 3% Nights. Highlights an 92% Physical, 1% Hybrid, and 7% Remote job distribution, with an average salary of $47,468 per year, or $22.8 per hour.

Internship Program

New York, NY

Synaptrix Labs
See more jobs at Synaptrix Labsexternal

$18.25 - $23.75/hr

Full-time, Internship

Re-posted 18 days ago

Key responsibilities

  • Contribute to the development of real-time software systems for neural signal processing and data visualization.

  • Build and prototype non-invasive EEG-based BCI hardware, including electrode arrays and embedded microcontroller systems.

  • Design, train, and evaluate machine learning models for EEG/EMG decoding, denoising, and signal enhancement.

Job description

About Synaptrix Labs Inc.

Synaptrix is on a mission to revolutionize brain-computer interfaces through non-invasive approaches. We believe that the power to diagnose and treat neurological conditions safely, and to expand human potential, will become a reality with the right fusion of deep learning, signal processing, and computational neuroscience.

We're seeking passionate, creative, and technically driven interns to join our team across multiple disciplines: 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 at the intersection of neuroscience, AI, and human experience, we want to hear from you.

Responsibilities:

Depending on your background and interests, you may:

  • Contribute to development of real-time software systems for neural signal processing and data visualization.
  • Build and prototype non-invasive EEG-based BCI hardware, from electrode arrays to embedded microcontroller systems.
  • Design, train, and evaluate machine learning models for EEG/EMG decoding, denoising, and signal enhancement.
  • Develop intuitive interfaces and user experiences for individuals with mobility or communication impairments.
  • Collaborate with the design team to prototype wearable and ergonomic form factors for next-generation neurotech devices.
  • Support data collection and analysis in research sessions, assisting with experimental setup and instrumentation.
  • Participate in cross-functional design reviews and brainstorming sessions that bring together neuroscience, AI, and engineering.
  • Contribute to internal documentation, test plans, and experimental logs for ongoing R&D projects.

Minimum Qualifications:

  • Currently pursuing a Bachelor's or Master's degree in Computer Science, Electrical Engineering, Biomedical Engineering, Neuroscience, Mechanical/Industrial Design, or a related field.
  • Demonstrated experience with one or more of the following:
    • Software: Python, C++, or JavaScript
    • Machine Learning: PyTorch, TensorFlow, or JAX
    • Hardware: Arduino, PCB design, or embedded systems
    • Design: Figma, Fusion 360, SolidWorks, or similar tools
  • Strong problem-solving ability and curiosity about neuroscience, AI, or human-machine interfaces.
  • Excellent communication and teamwork skills; thrives in a fast-paced, interdisciplinary environment.
  • Availability for an internship in New York City.

Preferred Qualifications:

  • Prior experience with EEG/EMG systems, biosignal acquisition, or data analysis.
  • Familiarity with deep learning for time-series or multimodal data.
  • Experience designing assistive devices, wearables, or medical technology.
  • Portfolio, GitHub, or research projects demonstrating creative technical work.
  • Interest in startups, prototyping, and early-stage innovation.

About our Culture:

At Synaptrix Labs, we celebrate curiosity, open collaboration, and scientific rigor. Our interdisciplinary team spans neuroscience, AI, and clinical research, and we are united by the belief that non-invasive BCI is the key to unlocking a new era in healthcare, accessibility, and human augmentation.
As an intern, you'll work directly alongside engineers, researchers, and designers who are defining the next generation of brain-computer interfaces. You'll be encouraged to explore bold ideas, experiment freely, and take ownership of meaningful projects from day one.

What We Offer:

  • Hands-on experience in one of the world's most exciting emerging fields: brain-computer interfaces
  • Opportunity to contribute to technology that directly improves lives
  • Mentorship from scientists, engineers, and founders building real neurotechnology products
  • Dynamic NYC workspace blending lab, workshop, and creative studio environments
  • Potential for full-time conversion after graduation