Machine Learning Scientist (Graduate/Postdoc Level) – Contract
Job Description
Description
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.
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
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
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Company
Oncoustics
Location
Toronto
Country
Canada
Salary
100.000
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