Nudge

Machine Learning Engineer

Nudge
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1 year ago

Responsibilities

  • Lead the design and development of imaging algorithms using in-house ultrasound transducers and high-performance computing.
  • Develop high-resolution acoustic simulation systems that model ultrasound propagation and scattering and predict delivered dose.
  • Architect computer vision and real-time inference systems for tracking brain motion and adapting treatment-targeting parameters.
  • Collaborate with mechanical, electrical, ultrasound, transducer-design, and neuroscience teams to productionize research concepts.
  • Define technical strategy and best practices for machine learning, modeling, simulation, and signal-processing infrastructure.
  • Mentor engineers through technical leadership, code review, and systems-level guidance.
  • Help shape the long-term machine learning roadmap.

Requirements

  • At least 3 years of industry experience.
  • Strong first-principles understanding of engineering, physics, and signal processing.
  • Experience writing production-level code, preferably in Python.
  • A degree in Computer Science or a similar engineering discipline.
  • Experience shipping products that deliver real-world value, ideally involving messy real-world sensors.
  • High integrity and strong professional judgment.
  • Prior ultrasound or neuroscience experience is not required.

Tech Stack

Categories

Nudge

About Nudge

51-200 employees

Nudge builds a B2B SaaS platform that delivers personalized financial education and timely prompts to employees, helping them understand money matters and employer benefits. Companies buy it as an employee benefit to boost financial wellbeing and benefits uptake, with analytics for HR. Founded in 2013 and headquartered in London, the privately held firm operates globally and raised a Series A in 2021.

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