Software Engineer, Machine Learning

nudge

$120K — $180K *
Healthcare
Less than 5 years of experience
Job Overview by Ladders

Qualifications

  • 3+ years of industry experience preferred
  • Strong understanding of engineering principles, physics, and signal processing
  • Proficient in writing production-level code, preferably in Python
  • Degree in Computer Science or relevant engineering field
  • Experience shipping real-world products and addressing complex sensor issues
  • Demonstrated high integrity and professional judgment

Responsibilities

  • Design imaging algorithms using in-house ultrasound technology
  • Build high-resolution acoustic simulations for sound energy scattering
  • Develop computer vision systems to track brain motion in real time
  • Collaborate with a multidisciplinary team of engineers and scientists
Full Job Description
About the role

As a machine learning 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

We are looking for engineers of all levels, with a preference for at least 3 years of industry experience. Regardless of your career level, you should have:
  • Strong first-principles understanding of engineering, physics, and signal processing.
  • Experience writing production-level code (Python preferred)
  • Degree in Computer Science or similar engineering discipline
  • You do not need prior experience with ultrasound or neuroscience
  • Shipped products that deliver value in the real world; ideally, you will have solved problems involving messy real-world sensors
  • High integrity and strong professional judgement

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