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Internship Brain Computer Interface Jobs (NOW HIRING)

Neara

Senior Quality Reliability Engineer

Addison, TX · On-site

$85K - $116K/yr

As a Precision employee, you'll join one of the fastest‑moving and best‑capitalized companies in the emerging field of brain-computer interfaces. Since our founding in 2021, we have raised more ...

Neara

Field Clinical Specialist

Manhattan, NY · On-site

$86K - $93K/yr

Hybrid · USD 140,000-160,000 / year New York, New York, United States Precision Neuroscience is building a next-generation brain-computer interface (BCI) to heal and empower millions of people ...

Vanderbilt Medical Group

$85K/yr

We are currently seeking a postdoctoral researcher to lead studies using brain-computer interface (BCI) tasks to study neural coding in the rodent cortex. This project is highly interdisciplinary and ...

Neuralink

Neurosurgeon Resident

Austin, TX · On-site

$32 - $54/hr

... brain-computer interface procedures using human cadavers or large animal subjects. In addition, you ... Temporary Employees & Interns excluded

Neuralink

Neuroengineer Intern

South San Francisco, CA · On-site

$35/hr

The Next Gen team at Neuralink is developing the next generation of brain-computer interfaces. We are laying the groundwork for intuitive, high-dimensional, and bidirectional interfaces between ...

Neara

Full-Stack Software Engineer

Santa Clara, CA · On-site

Precision Neuroscience is building a next‑generation brain-computer interface (BCI) to heal and empower millions of people living with neurological conditions. Our first product, Layer 7, is ...

Neara

Process Engineer

Addison, TX · On-site

... brain-computer interface (BCI) to heal and empower millions of people living with neurological ... Internship, co‑op, or academic experience in a cleanroom, microfabrication, MEMS, medical device ...

Merge

We're pursuing this goal by developing fundamentally new approaches to brain-computer interfaces that interact with the brain at high bandwidth, integrate with advanced AI, and are ultimately safe ...

Neara

EE Systems Engineer

Santa Clara, CA · On-site

Chicago, Illinois, United States Precision Neuroscience is building a next-generation brain-computer interface (BCI) to heal and empower millions of people living with neurological conditions. Our ...

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Internship Brain Computer Interface information

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How much do internship brain computer interface jobs pay per hour?

As of Sep 10, 2026, the average hourly pay for internship brain computer interface in the United States is $22.89, according to ZipRecruiter salary data. Most workers in this role earn between $18.51 and $24.28 per hour, depending on experience, location, and employer.

What is an internship brain computer interface?

An Internship in Brain-Computer Interface (BCI) involves working with cutting-edge technology that connects the human brain with computers or external devices. As an intern, you may assist in research, data collection, signal processing, machine learning, and hardware development for BCI applications. This role often requires knowledge of neuroscience, programming, and biomedical engineering. Interns typically work in labs, research institutions, or tech companies, contributing to advancements in neurotechnology.

What types of projects or tasks are typically assigned to interns in brain computer interface positions?

Interns in Brain Computer Interface roles often work on data collection and analysis, assist in developing or enhancing algorithmic models, and support the setup and operation of hardware like EEG systems. You may also contribute to literature reviews, help validate experimental protocols, or participate in team meetings to discuss results and troubleshoot challenges. The experience provides hands-on exposure to both hardware and software aspects of BCI research, giving interns valuable skills in experimental design, data analytics, and interdisciplinary collaboration. This immersive environment prepares you for advanced academic or professional careers in neurotechnology and related fields.

What are the key skills and qualifications needed to thrive in the internship brain computer interface position?

To thrive as an Internship Brain Computer Interface, a foundational understanding of neuroscience, signal processing, and programming languages such as Python or MATLAB is essential, usually supported by relevant coursework or lab experience. Familiarity with brain-computer interface platforms, data analysis software, and tools like EEG acquisition systems or machine learning frameworks is often required. Strong analytical skills, adaptability, and clear communication are key soft skills for collaborating with multidisciplinary teams and presenting findings. These competencies are crucial for effectively contributing to research projects and advancing innovation in the field of brain-computer interfaces.

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Internship Brain Computer Interface jobs near you
Infographic showing various Internship Brain Computer Interface job openings in the United States as of September 2026, with employment types broken down into 1% Internship, 1% As Needed, 82% Full Time, 13% Part Time, 2% Contract, and 1% Nights. Highlights an 81% Physical, 1% Hybrid, and 18% Remote job distribution, with an average salary of $47,621 per year, or $22.9 per hour.

Founding Machine Learning Engineer

San Francisco, CA • On-site

Orbit Neuro
See more jobs at Orbit Neuroexternal

$225K - $275K/yr

Full-time

Re-posted 21 days ago

Job description

About the company
We're a team of engineers, neuroscientists, and designers solving the most difficult and meaningful challenge: understanding the human brain. Our translational brain computer interface and pioneering models decode emotion, putting experience and wellbeing at the center of every interaction.
Our wearable BCI achieves fMRI-comparable resolution untethered to the lab. It's this advancement that enables us to build foundation models of emotion.
We're looking for people to help us build and scale. If you want to work on deep technology with real impact, and help define the future of brain-computer interfaces and AI, join us.
We're backed by the founders and execs of the leading companies in AI, neurotech, consumer hardware and pharmaceuticals - including Google, Hugging Face, Apple, Stability, Microsoft and Dropbox. We're venture funded.
About the team we are building
We're building a generational founding team which is truly full-stack - from neural sensors to complex models. If you want to work on deep technological problems and help pioneer the future of NeuroAI, this is the place for you. Projects have opportunities for a high degree of autonomy and demand intense, fast-paced learning.
You will:
  • Critically evaluate and implement the best machine learning approaches for our unique design problems in neural data
  • Work with real-time, multi-dimensional, multimodal datasets
  • Collaborate closely with neuroscience, hardware, and software teams to co-design end-to-end systems
  • Explore new model architectures and perform detailed experimentation and analysis
  • Learn neuroimaging and neuroscience context (we will support you in getting up to speed)
You have:
  • An BS or higher in Computer Science, Electrical Engineering, Applied Mathematics, or a related STEM field (exceptional self-taught researchers also considered)
  • 3+ years of applied ML research or development experience, or equivalent depth through publications, projects, or startup work
  • Strong Python programming skills with experience in PyTorch, TensorFlow, or JAX
  • Built and iterated quickly on ML models and pipelines
  • Experience with data preprocessing, labeling, and exploratory analysis
  • Agility working with multimodal data (e.g., imaging + time series, text + audio)
  • Proven ability to thrive in small, fast-moving teams
You might also have:
  • Publications in top ML or domain-specific journals/conferences
  • Experience with biomedical, neuroimaging, or other high-dimensional sensor data
  • A background in signal processing for time-series or imaging data
  • Experience with distributed or large-scale training (e.g., mixed precision, very large datasets)
  • Knowledge of semi-supervised or self-supervised approaches
  • Excitement to learn neuroimaging and neuroscience context

Apply