About Synchron

Synchron is a clinical-stage endovascular brain computer interface (BCI) company. Since 2012, the company has been developing a BCI platform that avoids the need for open brain surgery by using a minimally-invasive procedure. The Synchron Switch™ BCI received FDA Breakthrough Device Designation in 2020, and is currently in human clinical trials in the US and Australia.

The company recently announced an oversubscribed $75 million Series C financing round led by ARCH Venture Partners, with participation from Gates Frontier, Bezos Expeditions and other top-tier investors. The funds will accelerate product development, facilitate commencement of a pivotal clinical trial, and advance Synchron towards a first-in-class BCI market approval for the treatment of paralysis.

The Synchron Switch™ brain computer interface is implanted in the blood vessel on the surface of the motor cortex of the brain via the jugular vein, through a minimally-invasive endovascular procedure. Once implanted, it is designed to detect and wirelessly transmit motor intent out of the brain, restoring a capability for severely paralyzed patients to control personal devices with hands-free point-and-click. Synchron is a dynamic, multi-disciplinary and rapidly growing team.

Join our mission of developing a first-in-class commercial BCI for more than 100 million people worldwide with upper limb impairment. Help people with previously untreatable conditions regain connection to the world.

We are seeking a dynamic and innovative Software Engineer with a strong foundation in statistics and machine learning to join our data science team for a Summer internship.

The ideal candidate will thrive in both independent and collaborative environments, working alongside fellow engineers and data scientists to develop cutting-edge solutions to novel challenges of developing a Brain Computer Interface.

Qualifications:

Bachelor's or Master's degree in Computer Science, Electrical Engineering, or a related engineering field.
Proficient in Python programming with a proven track record of successful project implementation.
Familiarity with software engineering deployment methods (containerization, continuous integration/continuous deployment, shell scripting)
Expertise in leveraging multiprocessing techniques for efficient event-based processing on devices in the context of machine learning applications
Solid background in statistics, signal processing, optimization, and machine learning.
Ability to work independently and collaboratively, demonstrating effective communication and teamwork skills.
Availability to potentially commence full-time employment by September 2024.
Knowledge or experience in Brain-Computer Interface (BCI) and Neuroscience is not required.

Synchron

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