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    • Experience with signal and Image processing; machine vision.
    • Assisting in and learning the tools to feature engineering and signal processing to improve data…
    • View all Oncoustics jobs - Toronto jobs - Data Scientist jobs in Toronto, ON
    • Salary Search: Data Science/ Machine Learning Co-op (8 Month - Hybrid) salaries in Toronto, ON
    • You will assist with tasks related to the deployment of machine learning models and the maintenance of internal Python libraries.
    • 3+ years of experience in a machine learning engineering or related role.
    • This role requires a strong understanding of machine learning principles, software…
    • Foundational knowledge of statistics and machine learning concepts, with coursework, research, personal projects, or competitions you can discuss.
    • This role will be working on our Quora product.
    • By leveraging LLMs and agentic workflows, we're transforming how we detect harmful content, automate complex…
    • Practical experience with ML/AI techniques, including supervised learning, unsupervised learning, deep learning, and Natural Language Processing (NLP).
    • Strong understanding of machine learning algorithms, including supervised and unsupervised learning techniques.
    • 20 Annual PTO Days + Unlimited Sick Days.
    • Develop ML Systems: Design, build, and scale machine learning algorithms and data pipelines from prototype to production.
    • 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.
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    • Strong background in machine learning and deep learning.
    • Our work spans the field of machine learning with areas such as deep learning and generative AI, time…
    • Master's or PhD in Computer Science or a related quantitative field, plus 2+ years of full-time industry experience building production-grade computer vision…
    • Strong understanding of machine learning algorithms, including supervised and unsupervised learning techniques.
    • Free lunch provided in office daily.
    • Experience with interactive machine learning (eg. active learning, reinforcement learning, machine teaching) a plus but not required.
    • You'll develop and deploy models that power Piai, our proprietary claims-intelligence platform, with a focus on machine learning, natural-language processing,…
    • PhD/graduate work in biostatistics, data science and machine learning/machine vision.
    • Work on development and deployment of deep learning and machine learning…
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Job Post Details

Data Science/ Machine Learning Co-op (8 Month - Hybrid)
Oncoustics
Toronto, ON
Full-time
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Job details

Pay information not provided
Full-time
Toronto, ON

Full 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
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