Neurosoft Bioelectronics
Neurosoft Bioelectronics is seeking an intern machine learning scientist to develop next-generation AI for decoding neural time series and building foundation models that infer dexterous finger movements and upper extremity kinematics. The role involves researching and benchmarking modern sequence architectures, developing self-supervised pretraining pipelines, and deploying low-latency inference pipelines for real-time applications. This position offers a unique opportunity to contribute to cutting-edge neurotechnology research within a dynamic startup environment.
This site uses cookies to provide you with a better user experience and for analytical purposes. Reject all cookiesOk [ 0 ](/cart) [Skip to Content](#page) [](/) Open Menu Close Menu [](/) Open Menu Close Menu # **brain data at scale** ## OUR MISSION ## Decoding the brain, safely and at scale, ## to understand the human mind. ### Soft Brain Interfaces We have pioneered the development of soft, elastic brain interfaces that offer enhanced bio-integration and minimize the mechanical mismatch with neural tissues. Our brain interfaces are 1000 to 100’000 times softer, and 3 to 5 times thinner compared to alternative solutions. These unique mechanical properties provide a significant improvement in the safety profile. Brain-Computer Interfaces (BCIs) manufactured with our technology do not only have the potential to reduce scar tissue formation, which has been one of the main bottlenecks in the development of long-term BCIs, but to reduce other risks such as subdural hematomas and brain compression. Moreover, our interfaces can access sulci and enable minimally invasive brain implantation, as they can be folded and unfolded in extreme form factors without risk of being damaged. ### Artificial Intelligence We leverage Artificial Intelligence to extract actionable insights from brain recordings, harnessing its powerful capabilities to analyse brain data for biomarker detection, optimize neuromodulation, and decode motor and speech intentions. Our medical devices
Headquarters
San Francisco, CA
Company Size
201-500 employees
Founded
2018
Industry
Technology
Glassdoor Rating
4.2 / 5
Sarah Johnson
Chief Executive Officer
Michael Chen
Chief Technology Officer
Emily Williams
VP of Engineering
David Rodriguez
VP of Product
Jessica Thompson
Chief Financial Officer
Andrew Park
VP of Sales
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