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. 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.

The candidate will design, build, and debug new neural network architectures and adapt existing deep learning models for challenging data cases. They will also contribute to end-to-end ML pipelines, including training and evaluation.

Candidates should have experience in coding, ideally in Python and MATLAB, and familiarity with ultrasound data or related domains is a plus. A motivated and collaborative attitude is essential, along with a willingness to learn and produce real-world results.

Relevées dans la description du poste. Confirmez les exigences importantes ci-dessus.

• Machine Learning
• Neural Networks
• Deep Learning
• Python
• MATLAB
• Data Aggregation
• Performance Metrics
• Regression Models
• Classification Models
• Waveform Signals
• Time-Series Signals
• Imbalanced Datasets
• Multi-Instance Learning
• Self-Supervised Learning
• Contrastive Learning

• Technology
• Healthcare
• Science & Research
• Data & Analytics
• Engineering

Formation minimale

Maîtrise

Expérience minimale

0+ ans

Postuler avant le

9 août 2026

Langue de l’offre

anglais

Heures de travail

40 heures par semaine

Niveau d’expérience

Internship