Machine Learning Engineer

As a Machine Learning Lead at Nudge, you will drive the development of next-generation ML and imaging systems at the intersection of ultrasound, signal processing, and neuroscience. You’ll lead technical direction across core ML initiatives while remaining deeply involved in architecture, modeling, and deployment.

In this role, you will:

• 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

We are looking for engineers with at least 3 years of industry experience. Regardless of career level, you should have:

• Strong first-principles understanding of engineering, physics, and signal processing.
• Experience writing production-level code (Python preferred)
• A 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

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.

To succeed, we need to assemble world-class teams across everything we do. We hire people who are exceptional at their craft, believe hard things are worth doing, and execute relentlessly - people who expect the highest levels of both rigor and integrity from each other.