Oncoustics is a cutting-edge healthtech startup seeking a graduate student or postdoc in machine learning eager to gain hands-on experience. The role involves designing and optimizing neural network architectures, working with various models, and contributing to end-to-end machine learning pipelines.
Responsibilities:
- 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
- Apply methods such as multi-instance learning, self-supervised learning, or contrastive learning