Machine Learning Engineer Intern

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.

The Brain Computer Interface (BCI) Applications Team is responsible for delivering a product that gives people with paralysis the ability to control computers, phones, gaming consoles, and robotic arms with their minds at the same speed and functionality level as able-bodied people can.

Furthermore, the team is focused on restoring speech for mute individuals and enabling direct, natural silent communication with AI agents.

In this role, you’ll work with neuroscientists, physicians, software engineers, and electrical engineers to develop the next-generation human-ready Brain-Computer Interface (BCI).

We are hiring a Machine Learning Engineer Intern to develop novel neural decoders to increase control speed and accuracy, improve reliability, and expand functionality of BCIs.

You will play a critical role in developing machine learning solutions and driving the successful execution of projects to achieve mission critical goals.

You’ll work with cross-functional teams to design new BCI functionalities and novel computer user interfaces.

• Evidence in delivering high-impact projects either in academia or industry
• Prior experience designing and building Machine Learning models
• Deep understanding of machine learning concepts and fundamentals
• Experience in analyzing complex datasets, driving insights, and communicating results in a simple and clear way to both technical and non-technical stakeholders