Machine Learning Scientist; Graduate/Postdoc Level

Job in Toronto, Ontario, C6A, Canada

Listing for: Oncoustics

Full Time, Part Time, Seasonal/Temporary, Contract position
Listed on 2026-02-27

Job specializations:

IT/Tech
Data Scientist, Machine Learning/ ML Engineer

Salary/Wage Range or Industry Benchmark: 100000 - 125000 CAD Yearly CAD 100000.00 125000.00 YEAR

Position: Machine Learning Scientist (Graduate/Postdoc Level) - Contract

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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Job Posting Language

Machine Learning Scientist; Graduate​/Postdoc Level

Machine Learning Scientist; Graduate/Postdoc Level