Data Science/ Machine Learning Co-op (8 Month - Hybrid)
Oncoustics · Toronto, CA
Job description
TORONTO: RESEARCH AND DEVELOPMENT - FULL TIME
Job Description
Oncoustics is a start-up that uses AI on ultrasound data to help find disease. We are looking to hire a student for an 8 month Co-Op term. Eligible applicants should be in their second year or beyond in a computer engineering or medical based field, and have some programming experience. Specifics of the opportunity include:
Responsibility
- Learn the basics and help in the construction of ML models for classification and object detection
- Assisting in and learning the tools to feature engineering and signal processing to improve data quality
- Research and keep up to date with state of the art methods in signal processing and ML
- Collaborate with other team members for most efficient development
Requirements
- Must be actively enrolled in an accredited Canadian University or College during the co-op placement.
- Experience in coding, ideally Python and MATLAB
- Completed at least the second year, and currently enrolled in a accredited Canadian undergrad in Engineering, Comp Sci, Physics, Math, etc
- Must be a Canadian Citizen or Permanent Resident
- Must be willing to come into our Toronto Office, 155 Queens Quay East
Good To Have
- Industry experience in signal processing and/or ML
- Prior experience in the biomedical field
- Experience with ultrasound imaging and processing
- Experience with pytorch, sklearn, numpy, and scipy
- Experience with signal and Image processing; machine vision
ML/AI Work links you to the employer's original posting — always verify the details there before applying.
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