Neuroengineer Intern

About Neuralink:

We are creating devices that enable a bi-directional interface with the brain. These devices allow us to restore movement to the paralyzed, restore sight to the blind, and revolutionize how humans interact with their digital world.

Team Description:

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 brains and machines, with the goal of helping people challenged by a variety of neurological disorders and conditions. Our team consists of scientists and engineers, working closely together to define the engineering requirements for these future products. As a Neuroengineer Intern on this team, you will contribute across a wide range of projects, from designing novel experimental preparations, to interpreting neural signals and behavioral data, to developing novel BCI paradigms. Successful candidates will be highly adaptable, able to deploy their core technical and creative skills to tackle a wide range of problems, and have a keen sense of urgency. 

Job Description and Responsibilities:

• Investigate and map neural correlates of sensory and internally-generated states.


• Build and iterate on advanced machine learning architectures to map neural activity to complex, multi-dimensional outputs.


• Design, execute, interpret, and communicate the results of experiments, ranging from non-human primate (NHP) electrophysiology to human fMRI studies.


• Present results in a fast-paced, highly collaborative setting.

Required Qualifications: 

• Evidence of exceptional ability in neuroscience, machine learning, biomedical engineering, or a related field


• 2+ years of academic or industry experience


• A strong understanding of the scientific method and engineering first principles


• Fluency with Python for data analysis

Preferred Qualifications: 

• Experience with modern machine learning, including LLMs, LLM interpretability, and generative models.


• Expertise in analyzing neural population dynamics and applying manifold analysis techniques to high-dimensional neural data.


• Strong background in neural decoding, particularly in the domains of movement or speech.


• Experience with human fMRI experimental design, execution, and fMRI data analysis.


• Experience with in-vivo electrophysiology, particularly awake-behaving recordings in non-human primates (NHP), and/or closed-loop brain-computer interfaces.