\n\n\n\n\n\n
\n\n\n
\n\n\n","datePosted":"2022-11-03T13:29:00.950Z","validThrough":"2025-07-28","employmentType":[],"hiringOrganization":{"@type":"Organization","name":"Oncoustics AI","description":"Oncoustics turns low-cost, point-of-care ultrasound systems into powerful and portable surveillance, diagnostic, and monitoring systems for preventive care and early intervention.","numberOfEmployees":24,"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-5da2-8fa4-6b131b3d2dc3-1745630671","keywords":"Health, Medical Devices"},"jobLocation":{"@type":"Place","address":{"@type":"PostalAddress","addressLocality":"Toronto, ON, Canada"}},"baseSalary":{"@type":"MonetaryAmount","currency":null,"value":{"@type":"QuantitativeValue","minValue":null,"maxValue":null,"unitText":"PERIOD_NOT_DEFINED"}}}\n![\"\"](\"https://global-uploads.webflow.com/63348796d74b71c28ac46bd6/633488f48e6e9a888711854b_oncoustics_Logo.png\")
\n
\n\n
Senior Machine Learning Engineer in Medical Imaging
\nTORONTO: RESEARCH AND DEVELOPMENT - FULL TIME
\n
\n\n
Job Description
\n
\n\n
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:
\n
\n\n
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
\n \n
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
\n \n
\n\n\n\n
\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