Job Title

TORONTO - CONTRACT Job Description We're seeking a graduate student or postdoc in machine learning whos 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. Responsibilities 1. Design, build, and debug new neural network architectures from scratch 2. Adapt and optimize existing deep learning models for challenging data cases 3. Diagnose and interpret model limitations using performance metrics 4. Work with regression and classification models, including waveform/time-series signals and imbalanced datasets 5. Implement strategies for individual frame-to-patient data aggregation 6. Contribute to end-to-end ML pipelines, including training and evaluation 7. 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 #J-18808-Ljbffr