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Brain Machine Interface Jobs (NOW HIRING)

PetsApp

Microfabrication Cleanroom Manager

Cambridge, MA · On-site

$110 - $160/hr

  • Medical

  • Dental

  • PTO

Summary Axoftis building the most advanced infrastructure for implantable brain-machine interfaces,enablinglong-term stable and ultra-high bandwidth communication with the brain.

New

Neuralink

Strategic Finance Analyst

South San Francisco, CA · On-site

  • Medical

  • Dental

  • Vision

  • Retirement

The Finance Team at Neuralink plays a pivotal role in fueling our mission to develop groundbreaking brain-machine interfaces that restore autonomy to individuals with unmet medical needs. We provide ...

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

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 ...

Neuralink

Machine Learning Engineer

Austin, TX · On-site

$199K - $331K/yr

  • Medical

  • Dental

  • Vision

  • Retirement

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 ...

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How much do brain machine interface jobs pay per hour?

As of Aug 19, 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.

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Brain Machine Interface jobs near you
Infographic showing various Brain Machine Interface job openings in the United States as of August 2026, with employment types broken down into 83% Full Time, 11% Part Time, 1% Temporary, 2% Contract, and 3% Nights. Highlights an 93% Physical, 1% Hybrid, and 6% Remote job distribution, with an average salary of $47,468 per year, or $22.8 per hour.

Research Engineer - Brain Computer Interface Models

Zyphra

San Francisco, CA • On-site

Full-time

Re-posted 5 days ago

Job description

Job Summary:
Zyphra is an artificial intelligence company based in San Francisco, California. They are seeking a Research Engineer - Brain Computer Interface Models to contribute to their BCI work by building open-source EEG and brain-computer interface models, involving data collection, preprocessing, and model training.
Responsibilities:
• Large-scale EEG model training runs and evaluation
• Architecture and training methodology ablations and innovations
• Dataset collection and preprocessing for EEG and other BCI modalities
• Performance optimization of the training stack
• Integration of models into real-world BCI applications
Qualifications:
Required:
• Organized, methodical researcher who can take ownership of a project component, communicate their process clearly, and deliver a working module
• Excellent communication and collaboration skills, with clean and concise coding practices
• Strong implementation and prototyping skills, with comfort working across both research and engineering at scale
• Ability to learn new domains quickly, orient oneself in the academic literature, and implement new ideas, creatively borrowing concepts from other modalities and applying them to EEG domain
• Interest in neural data such as EEG, MEG, fMRI as well as building foundation models in a much less explored space
• Proficiency with PyTorch and Python
Preferred:
• Experience with VAEs, GANs, diffusion models, and contrastive learning
• Familiarity with signal processing (especially for EEG) and time-series analysis
• Experience training on large-scale (multi-node) GPU clusters
• Experience contributing to large existing codebases and ramping up quickly
• Previously published machine learning research in well-respected venues
Company:
Zyphra is superintelligence research and product company based in San Francisco, California. Founded in 2021, the company is headquartered in Palo Alto, USA, with a team of 51-200 employees. The company is currently Growth Stage.

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