Data Science / Machine Learning Co-op

Overview

Oncoustics is a startup focused on applying AI to ultrasound data to help detect disease. The company is seeking a student for an 8-month co-op placement in its research and development team in Toronto.

Responsibilities

• Build foundational machine learning models for classification and object detection with guidance from the team.
• Support feature engineering and signal processing efforts aimed at improving data quality.
• Stay current with modern approaches in signal processing and machine learning through ongoing research.
• Work closely with other team members to help the group move efficiently and collaboratively.

Requirements

• Must be enrolled in an accredited Canadian college or university throughout the co-op term.
• Should have programming experience, with Python and MATLAB preferred.
• Must have completed at least second year and be currently studying in an accredited Canadian undergraduate program in Engineering, Computer Science, Physics, Mathematics, or a related medical/computing field.
• Must be a Canadian citizen or permanent resident.
• Must be able to work onsite at the Toronto office located at 155 Queens Quay East.

Preferred background

• Exposure to signal processing and/or machine learning in an industry setting.
• Experience in biomedical work or projects.
• Hands-on familiarity with ultrasound imaging and image processing.
• Experience using PyTorch, scikit-learn, NumPy, and SciPy.
• Knowledge of signal processing, image processing, or machine vision.

Application details

Applicants were asked to provide a resume. The form also included a check on whether the applicant is eligible to work in Canada.

Additional information

This is an 8-month co-op position based in Toronto, Ontario, Canada, within the research and development function.