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Entry Level Brain Machine Interface Jobs (NOW HIRING)

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 ...

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 ...

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

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 ...

VOLT

Entry Level Test Engineer

San Diego, CA · On-site

Volt is immediately hiring an Entry Level Test Engineer in San Diego, CA. As a Test Engineer, you ... Direct experience with programming PLCs and Windows-based Human Machine Interface (HMI) systems is ...

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Entry Level Brain Machine Interface information

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

As of Jul 9, 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 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 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 (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 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 are the most commonly searched types of Brain Machine Interface jobs? The most popular types of Brain Machine Interface jobs are:
Entry Level Brain Machine Interface jobs near you
Machine Learning Engineer

Machine Learning Engineer

Neuralink

Austin, TX

Other

Posted 3 days ago

Job description

About the Team:

The BCI team develops the software and systems that communicate with the brain. These systems decode raw neural signals into useful actions, such as moving a cursor, typing, or actuating a robotic arm. Additionally, real-world data, such as video feeds, can be encoded into neural data to project images into the visual cortex. We also work closely with users to gather feedback, make improvements, and fundamentally reshape the user experience and interface of the BCI.

About the Role:

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 state-of-the-art neural encoders and decoders. No prior knowledge of neuroscience is required; we value simple solutions grounded in first principles.

Neuralink designs all hardware in-house, from custom ASICs to thin-film arrays. There is no part of the technical design that cannot change. Learnings from your work will directly influence next-generation device architecture.

Job Responsibilities:
  • Telepathy Product: Develop and refine models that decode neural data, enabling individuals with paralysis to reliably type at 35 words per minute or control robotics arms for activities of daily living.
  • Blindsight Product: Formulate research questions to guide the development of neural networks and signal processing algorithms that will restore vision to those affected by blindness.
  • Utilize your fundamental understanding of neural networks and data science to develop models that serve as the foundation for machine learning applications for BCI.
  • Lead the team by performing at a high standard, setting the bar for how we build and operate our systems.
  • Inform our hardware roadmap by understanding users and identifying the product features that would have the greatest impact on their quality of life.
About You:
  • Experience writing production-level C/C++/Rust and Python
  • Proven track record of designing, building, and shipping real-time ML products
  • Strong foundation in signal processing, algorithms, and software engineering principles
  • Bachelor's degree in relevant field or equivalent experience

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