We’re seeking a graduate student or postdoc in machine learning who’s eager to gain hands‑on experience at a cutting‑edge healthtech startup. You’ll collaborate closely with leading professors, experienced scientists and developers, and successful entrepreneurs. An immediate start is preferred, with full‑time availability through the summer. Part‑time or flexible arrangements are also welcome.
Responsibility
Design, build, and debug new neural network architectures from scratch
Adapt and optimize existing deep learning models for challenging data cases
Diagnose and interpret model limitations using performance metrics
Work with regression and classification models, including waveform/time‑series signals and imbalanced datasets
Implement strategies for individual frame‑to‑patient data aggregation
Contribute to end‑to‑end ML pipelines, including training and evaluation ...