Machine Learning Engineer - Medical Imaging (Ultrasound)

About

NodeAI is building AI to transform ultrasound and lymph node interpretation, grounded in real clinical workflows and rigorous validation. Role

We’re looking for a hands‑on ML Engineer to drive development of our ultrasound AI models across segmentation, classification, and object detection. You’ll design and train deep learning models, help set the technical direction for our imaging stack, and work closely with our engineering team to deploy them into a cloud‑based, clinically oriented product. Responsibilities

Design, train, and evaluate deep learning models in PyTorch for ultrasound image analysis. Develop reusable models and shared architectures that support multiple tasks (segmentation, detection, classification), with a focus on efficiency and fast inference. Help set technical direction, identify and prioritize goals, and provide technical leadership/mentorship as the team grows. Implement scalable training and inference pipelines (multi‑GPU / mu...