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 flexible arrangements are also welcome.

Responsibility
Design, build, and debug recent 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

Valuable 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