Lead Machine Learning Engineer

Nudge is dedicated to developing innovative technology for brain interfacing to enhance people's lives. The Lead Machine Learning Engineer will spearhead the creation of advanced ML and imaging systems, collaborating with various engineering disciplines to translate research into practical applications.

Responsibilities:

• Lead the design and development of imaging algorithms that leverage in-house ultrasound transducers and high-performance compute to image the brain and skull
• Drive the development of high-resolution acoustic simulation systems to model the propagation and scattering of ultrasound energy and accurately predict delivered dose
• Architect computer vision and real-time inference systems that track brain motion and dynamically adapt targeting parameters during treatment
• Partner closely with mechanical engineers, electrical engineers, ultrasound engineers, transducer designers, and neuroscientists to translate research concepts into robust production systems
• Define technical strategy and best practices across machine learning, modeling, simulation, and signal processing infrastructure
• Mentor and elevate other engineers through technical leadership, code review, and systems-level thinking
• Help shape the long-term ML roadmap as we apply machine learning in a domain where it has not traditionally been used