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\n\n\n","datePosted":"2022-11-03T13:29:00.950Z","validThrough":"2025-06-12","employmentType":[],"hiringOrganization":{"@type":"Organization","name":"Oncoustics AI","description":"Oncoustics is revolutionizing point-of-care diagnostics with its patented AI solutions that transform inexpensive ultrasound devices into powerful tools for the rapid, non-invasive detection and monitoring of liver diseases. Their innovative approach leverages raw ultrasound signals to provide accurate diagnostics without the need for image interpretation, making it accessible for any clinician. With a focus on improving patient outcomes and experiences, Oncoustics offers a suite of applications that streamline the diagnostic process, reduce costs, and enhance productivity in clinical settings. The company has validated its technology through extensive clinical partnerships and is positioned in a $30B global diagnostic market, addressing a critical need for early detection of liver disease, which is the fastest-growing cause of death globally.","numberOfEmployees":26,"address":[{"address":{"@type":"PostalAddress","addressLocality":"Toronto, ON, Canada"}},{"address":{"@type":"PostalAddress","addressLocality":"North York, Toronto, ON, Canada"}}],"sameAs":"https://oncoustics.com","url":"https://oncoustics.com","logo":"https://cdn.getro.com/companies/3d60cba1-74be-5da2-8fa4-6b131b3d2dc3","keywords":"Biotechnology, Data and Analytics, DeepTech, Health, Software"},"jobLocation":{"@type":"Place","address":{"@type":"PostalAddress","addressLocality":"Toronto, ON, Canada"}}}\n![\"\"](\"https://global-uploads.webflow.com/63348796d74b71c28ac46bd6/633488f48e6e9a888711854b_oncoustics_Logo.png\")
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Senior Machine Learning Engineer in Medical Imaging
\nTORONTO: RESEARCH AND DEVELOPMENT - FULL TIME
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Job Description
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Oncoustics is revolutionizing the use of point of care ultrasound in liver care through advanced AI. We are supported by high-profile institutional investors and have deep partnerships in place with several major ultrasound and pharmaceutical players. We are looking to hire a senior ML Engineer/Scientist to join our team with relevant academic experience and deep industry experience. A successful candidate will be able to manage and lead a team and projects, as well as coordinating with signal processing, clinical data and product teams. The candidate should be able to build on previous work, and have a collaborative team spirit. Specifics of the opportunity include:
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Responsibility
\n- \n
- Lead all development and deployment of deep learning and machine learning models in tensorflow and pytorch \n
- Design models/learning strategies to optimize mining of unique ultrasound signal data with deep learning \n
- Apply custom hyper parameter tuning methods
\n \n - Work directly with a team of data scientists and signal processing engineers
\n \n - Influence feature engineering and signal processing, and coordinate for optimal mining with AI
\n \n - Remain aware of new innovations in the use of AI/ML in medical imaging and ultrasound
\n \n - Adopt state of the art algorithms and models for that include multi-instance learning strategies, attention and GANs
\n \n - Plan for deployment of all models in Oncoustics future apps
\n \n - Participate in FDA planning and clearance of algorithms
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Requirements
\n- \n
- Graduate degree in a related field, and relevant undergraduate \n
- 5+ years at least of industry experience in the development and deployment of AI/ML models for health care \n
- Expertise in Python for Deep Learning and Machine Learning packages: Pandas, Sklearn, Keras, Tensorflow, Pytorch \n
- Deep Learning architecture design: Experience with attention mechanisms, multi-instance learning and/or GANs \n
Good To Have
\n- \n
- PhD/graduate work in machine learning/machine vision \n
- Expertise in medical imaging analysis or signal processing with AI
\n \n - Experience in the use of ultrasound
\n \n - Prior experience with FDA clearance of AI/ML algorithms
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\nSenior Machine Learning Engineer in Medical Imaging
Oncoustics AI
Software Engineering
Toronto, ON, Canada
Posted 6+ months ago
Senior Machine Learning Engineer in Medical Imaging
TORONTO: RESEARCH AND DEVELOPMENT - FULL TIME
Job Description
Oncoustics is revolutionizing the use of point of care ultrasound in liver care through advanced AI. We are supported by high-profile institutional investors and have deep partnerships in place with several major ultrasound and pharmaceutical players. We are looking to hire a senior ML Engineer/Scientist to join our team with relevant academic experience and deep industry experience. A successful candidate will be able to manage and lead a team and projects, as well as coordinating with signal processing, clinical data and product teams. The candidate should be able to build on previous work, and have a collaborative team spirit. Specifics of the opportunity include:
Responsibility
- Lead all development and deployment of deep learning and machine learning models in tensorflow and pytorch
- Design models/learning strategies to optimize mining of unique ultrasound signal data with deep learning
- Apply custom hyper parameter tuning methods
- Work directly with a team of data scientists and signal processing engineers
- Influence feature engineering and signal processing, and coordinate for optimal mining with AI
- Remain aware of new innovations in the use of AI/ML in medical imaging and ultrasound
- Adopt state of the art algorithms and models for that include multi-instance learning strategies, attention and GANs
- Plan for deployment of all models in Oncoustics future apps
- Participate in FDA planning and clearance of algorithms
Requirements
- Graduate degree in a related field, and relevant undergraduate
- 5+ years at least of industry experience in the development and deployment of AI/ML models for health care
- Expertise in Python for Deep Learning and Machine Learning packages: Pandas, Sklearn, Keras, Tensorflow, Pytorch
- Deep Learning architecture design: Experience with attention mechanisms, multi-instance learning and/or GANs
Good To Have
- PhD/graduate work in machine learning/machine vision
- Expertise in medical imaging analysis or signal processing with AI
- Experience in the use of ultrasound
- Prior experience with FDA clearance of AI/ML algorithms