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\n\n\n","datePosted":"2022-11-03T13:29:00.950Z","validThrough":"2025-03-22","employmentType":[],"hiringOrganization":{"@type":"Organization","name":"Oncoustics AI","description":"Oncoustics is creating and deploying advanced AI solutions for low cost, non-invasive surveillance, diagnostics, and treatment monitoring of diseases with high unmet clinical need. Unlike other players in the space, Oncoustics does not do image recognition. Instead, Oncoustics applies AI to raw ultrasound signals from readily available handheld ultrasound devices to rapidly differentiate healthy versus diseased tissues. There's a wealth of information in these raw signals and this approach reveals novel biomarkers that can be aligned with existing standards and categorization systems. Initially targeting liver disease, a $30B global diagnostic market, Oncoustics has filed a Breakthrough Device Designation Request with the FDA for the OnX that detects liver fibrosis and the 510K is underway. Several follow-on liver products are in development. Oncoustics also has clinical data on other organ indications including prostate, kidney, breast and thyroid diseases and cancers.","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","memberOf":{"@type":"Organization","name":"University of Toronto Entrepreneurship","description":"All things entrepreneurship at @UofT: #UofTStartup news, incubators/accelerators, events in #ONRampUofT & more. Subscribe to our newsletter https://t.co/ToPFIVQtBP","logo":"https://cdn.filepicker.io/api/file/8Jn9yPIRSU2UzWjclVN7","url":"jobs.entrepreneurs.utoronto.ca"},"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
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- 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