PhD Medical Image Processing jobs
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- OncousticsToronto, ON
- Expertise in medical imaging analysis or signal processing with AI.
- Remain aware of new innovations in the use of AI/ML in medical imaging and ultrasound.
- OncousticsToronto, ON
- Expertise in medical imaging analysis or signal processing.
- Influence feature engineering and signal processing, and coordinate for optimal mining of data.
- YULCOM TechnologiesMontréal, QC
- Develop and optimize image processing pipelines for enhancing image quality, artifact reduction, and extracting relevant information.
- Angstrom VisionNorth Vancouver, BC
- Experience with methods in effective dataset generation of 2D/3D image and training of 2D/3D images using Tensor Flow or PyTorch.
Lecturer/Assistant Professor/Associate Professor - Abdominal Imaging - Joint Dept of Medical Imaging
University of TorontoToronto, ON M5G 1X5- $300,000 a year
- Candidates must hold an MD or equivalent degree as well as board certification in diagnostic radiology from the RCPSC, ABR, or international organization that…
View similar jobs with this employerUBC Faculty of ForestryVancouver, BC- $70,000–$75,000 a year
- Full-time
- Frangou Laboratory | Department of Psychiatry | Faculty of Medicine (Sophia Frangou).
- The Department of Psychiatry at the University of British Columbia invites…
View similar jobs with this employerUBC Faculty of ForestryVancouver, BC- $70,000–$75,000 a year
- Full-time
- Frangou Laboratory | Department of Psychiatry | Faculty of Medicine (Sophia Frangou).
- The Department of Psychiatry at the University of British Columbia invites…
- YULCOM TechnologiesMontréal, QC
- Full-time
- Spécialisé dans l’analyse et le traitement d’images radiographiques et échographiques.
- Mettre en œuvre des algorithmes spécifiquement adaptés à la recherche et…
Machine Learning Scientist
Easily applyNucs AIToronto, ON- Experience with Generative AI in medical domain.
- PhD in machine learning, computer vision, medical image analysis, biomedical engineering, or related field.
- View all Nucs AI jobs - Toronto jobs - Machine Learning Engineer jobs in Toronto, ON
- Salary Search: Machine Learning Scientist salaries in Toronto, ON
Computer Vision/ML Engineer
Easily applyNorbert HealthMontréal, QC- Full-time
- Develop video processing pipelines that integrate with both classical signal processing and ML based vital sign extraction.
- IMMERVISIONMontréal, QC
- The ideal candidate has deep expertise in image processing pipelines and computational imaging, masters modern deep learning approaches for vision applications,…
- Nucs AIToronto, ON
- Full-time
- Active, unrestricted medical license in the US.
- We collaborate with leading medical institutions and pharmaceutical companies globally to achieve groundbreaking…
AI / ML Engineer
Easily applyE SourceCalgary, AB- $115,000–$145,000 a year
- Familiarity with Databricks for scalable data processing and collaborative analytics.
- Evaluate database design and create optimized performance queries for…
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- McMaster UniversityHamilton, ON L8S 4S4
- Temporary
- On call
- The body imaging service at Hamilton General supports a variety of general and tertiary level subspecialty medical and surgical services.
Associate Professor/Professor -JDMI UHN Chair in Medical Imaging and AI at the University of Toronto
University of TorontoToronto, ON- $300,000 a year
- The Chair will have demonstrated an ability to work collaboratively across disciplines and medical specialties and will develop the field of AI through research…
- University of TorontoToronto, ON
- $300,000 a year
- Full-time
- On call
- The candidate will teach medical students, radiology residents and cardiothoracic fellows and will participate in the on-call rotation program.
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Job Post Details
Senior Machine Learning Engineer in Medical Imaging - job post
Toronto, ON
Full-time
You must create an Indeed account before continuing to the company website to apply
Job details
Job type
- Full-time
Location
Toronto, ON
Full job description
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 to join our team with relevant academic experience and deep industry experience.
A successful candidate will be capable of in-depth development and understanding of machine learning architectures that go beyond the state of the art—advancing beyond conventional hyper-parameter tuning on existing models. They should be able to manage and lead both teams and projects, while effectively coordinating with signal processing, clinical data, and product teams. The ideal candidate will have strong expertise in processes, pipelines, operations, QA, and writing production-grade code. They should be able to build on previous work to drive innovation with a novel dataset and demonstrate a collaborative, team-oriented mindset.
A successful candidate will be capable of in-depth development and understanding of machine learning architectures that go beyond the state of the art—advancing beyond conventional hyper-parameter tuning on existing models. They should be able to manage and lead both teams and projects, while effectively coordinating with signal processing, clinical data, and product teams. The ideal candidate will have strong expertise in processes, pipelines, operations, QA, and writing production-grade code. They should be able to build on previous work to drive innovation with a novel dataset and demonstrate a collaborative, team-oriented mindset.
Responsibility
- Lead development and deployment of deep learning and machine learning models in tensorflow and pytorch
- Build on existing collaborative culture in multi-disciplinary & distributed team
- Coach on and explain ML engineering (options, cost-benefit, etc) to ML scientists and team overall
- Help the ML and software teams understand the necessary parts of ML to properly develop supporting systems and processes
- Coach both ML scientists and ML/software engineers on appropriate best ML software practices
- Work w/ R&D team to improve experiment foci (IE prioritization and targeted results) and communications (presentations, updates, etc)
- Define and manage ML engineering processes and pipelines between R&D and SW engineering for final product outputs.
- Design models/learning strategies to optimize mining of unique ultrasound signal data with deep learning
- 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
- Remain aware of new innovations in the use of AI/ML in medical imaging and ultrasound
- 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
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