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

Submit Your Application

Resume

Uploading...

fileuploaded.jpg

Upload failed. Max size for files is 10 MB.

Are you eligible to work in Canada?

YesNo

Thank you! Your submission has been received!

Oops! Something went wrong while submitting the form.

Oncoustics

New Jobs

Machine Learning Scientist (Graduate/Postdoc Level) - Contract