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Software Engineer, Machine LearningNudge Inc. • San Francisco, California, United States
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Software Engineer, Machine Learning

Nudge Inc.
  • US
    San Francisco, California, United States
  • US
    San Francisco, California, United States
Find similar jobs

About

About Nudge About Nudge At Nudge, our mission is to develop the best technology for interfacing with the brain to improve people's lives. We're starting with an approach that we believe can help the most people the fastest, and also allow us to learn as much about the brain as possible: developing a non-invasive, ultrasound-based device that can stimulate and image the brain at high resolution and depth. This is a vertically integrated effort building cutting-edge hardware, software, and research capabilities to create products that can benefit millions — and eventually billions — of people. We’ve brought together a team of the best, who believe hard things are worth doing. To succeed, we need to assemble world-class teams across everything we do. We hire people who are exceptional at their craft, do the real work, and execute relentlessly — people who expect the highest levels of both rigor and integrity from each other. About the role As a machine learning software engineer at Nudge, you will: Design imaging algorithms that use in-house ultrasound transducers and high-performance compute to image the brain and skull.
Build high-resolution acoustic simulations to model the scattering of sound energy in the skull and precisely predict the dose delivered.
Develop computer vision systems to track the motion of a brain target in real time and dynamically adapt drive parameters to maintain consistent targeting.
Work closely with mechanical engineers, electrical engineers, ultrasound engineers, transducer designers, and neuroscientists
About you Strong first-principles understanding of engineering, physics, and signal processing.
Experience writing production-level code (Python preferred)
Shipped products that deliver value in the real world. Ideally, you will have solved problems involving messy real-world sensors.
Degree in Computer Science or similar engineering discipline
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  • San Francisco, California, United States

Languages

  • English
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