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Machine Learning Scientist (Graduate/Postdoc Level) - Contract
Toronto, ON
Hybrid work
Part-time, Contract, Full-time

Job details

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Job type

Part-time
Contract
Full-time

Full job 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.
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
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