TORONTO - CONTRACT

Job Description

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 versatile 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

- Apply methods such as multi-instance learning, self-supervised learning, or contrastive learning

Requirements

- Experience in coding, ideally Python and MATLAB

Good To Have

- Experience with ultrasound data or related domains (e.g., audio, non-destructive testing, geophysics)
- Ideally based in Toronto for Hybrid work at our Toronto Office, 155 Queens Quay East

- Familiarity with clinical data workflows or biomedical applications

- Motivated, driven, collaborative, and eager to learn and produce real-world results

📌 Machine Learning Scientist (Graduate/Postdoc Level) - Contract (Toronto)
🏢 Oncoustics
📍 Toronto