Machine Learning Engineer

Neuralink is at the forefront of brain-computer interface technology, developing revolutionary devices that create a direct connection between the human brain and digital systems. As a Machine Learning Engineer on the BCI team, you'll be working on groundbreaking technology that has the potential to transform lives by restoring movement to the paralyzed and sight to the blind.

The role involves developing sophisticated neural decoders and encoders using cutting-edge machine learning techniques. You'll work with state-of-the-art neural interface hardware, all designed in-house, from custom ASICs to thin-film arrays. Your work will directly influence the next generation of device architecture and contribute to products like Telepathy, which enables typing at 35 words per minute through neural signals, and Blindsight, which aims to restore vision through neural stimulation.

The position offers a unique opportunity to work with an interdisciplinary team at the intersection of neuroscience, machine learning, and hardware engineering. While no prior neuroscience knowledge is required, you'll need strong expertise in signal processing, machine learning, and software engineering. The role demands both technical excellence and user-focused thinking, as you'll need to understand user needs to drive product improvements.

Working at Neuralink means joining a mission to revolutionize how humans interact with technology while making a profound impact on medical treatment. The company offers competitive compensation ($199,000 - $331,000), comprehensive benefits, and the chance to work with some of the brightest minds in the field. This is an in-person role based in Fremont, California, where you'll have access to cutting-edge facilities and resources to support your work in advancing brain-computer interface technology.