Machine Learning Scientist; Graduate​/Postdoc Level

Overview

Machine Learning Scientist (Graduate/Postdoc Level) - Contract at Oncoustics

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.

TORONTO — CONTRACT

Toronto, ON (Hybrid work at our Toronto Office, 155 Queens Quay East)

• 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

• Experience in coding, ideally Python and MATLAB

• 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

Submit Your Application — Resume

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