Pu
Posted:
June 01, 2026
Location:
toronto, on, Canada
Job Description
Elevate health technology with your expertise as a Machine Learning Scientist in Toronto. This role involves designing neural networks and adapting models within a growing startup environment.
We are recruiting a graduate or postdoc in machine learning for a contract role based in Toronto. You’ll engage with leading researchers and entrepreneurs at the forefront of healthtech innovation. Preferably available full-time during summer, but we welcome part-time candidates and flexible work arrangements.
Key Responsibilities: • Design and debug new neural network architectures • Optimize existing models for data challenges • Diagnose limitations using relevant performance metrics • Work collaboratively with regression and classification models • Implement strategies for patient data aggregation
Requirements: • Strong coding skills in Python and MATLAB • Experience in ultrasound data is advantageous • Ideally situated in Toronto for hybrid arrangements • Familiar w...
We are recruiting a graduate or postdoc in machine learning for a contract role based in Toronto. You’ll engage with leading researchers and entrepreneurs at the forefront of healthtech innovation. Preferably available full-time during summer, but we welcome part-time candidates and flexible work arrangements.
Key Responsibilities: • Design and debug new neural network architectures • Optimize existing models for data challenges • Diagnose limitations using relevant performance metrics • Work collaboratively with regression and classification models • Implement strategies for patient data aggregation
Requirements: • Strong coding skills in Python and MATLAB • Experience in ultrasound data is advantageous • Ideally situated in Toronto for hybrid arrangements • Familiar w...
Apply for this Job
Submit your application for the Healthtech Machine Learning Scientist Toronto position at PulseMedica.
Apply Now Save for LaterJob Overview
Job Type:
Full-time
Location:
toronto, Canada
Posted:
June 01, 2026
Deadline:
July 11, 2026