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Medical Imaging Software jobs in Toronto, ON

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    • 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.
    • View all Oncoustics jobs - Toronto jobs - Machine Learning Engineer jobs in Toronto, ON
    • Salary Search: Senior Machine Learning Engineer in Medical Imaging salaries in Toronto, ON
    • These are the systems that get patients their medical imaging records and let them share those records with the doctors who need them next.
    • 5-8 years of software engineering experience, with meaningful time in a forward deployed, solutions engineering, or embedded client-facing engineering role.
    • 4+ years of software engineering experience.
    • That means working across the full stack: backend services in Python and TypeScript, integrations against real…
    • Provide hardware and software development tools training to customers.
    • Design and develop software/firmware applications for image and video processors.
  • View similar jobs with this employer
    • 8+ years of experience in software development.
    • Familiarity with medical device compliance standards and quality management systems is preferred.
    • Proficient in technology including Microsoft Word, Excel, Outlook, Microsoft Teams, Adobe Acrobat, and medical imaging software an asset.
    • Independently managing patient imaging appointments.
    • Experience working with CBCT imaging systems.
    • Troubleshooting common imaging and DICOM issues.
    • Proficiency in DEXA image analysis and reporting software.
    • Experience with EHR systems and digital imaging platforms.
    • DEXA scanning and image acquisition.
    • Possession of adequate biomedical engineering in diagnostic imaging applications.
    • Use CRM software to effectively collaborate with clients and team members.
    • 3 years of experience servicing/installing medical imaging equipment (CT or PET, while Nuclear equipment is preferred).
    • Report to the Director of Service.
    • Identify and learn appropriate software applications used and supported by the organization.
    • Administer new hire technology needs (e.g., desktop imaging,…
    • 3 - 8 years: Radiology/Imaging Experience (Required): Hands-on experience with medical imaging or radiology products is required.
    • Experience testing PACS, medical imaging, healthcare software, or 3D imaging applications preferred.
    • Experience testing medical imaging applications, PACS…
    • Experience testing medical imaging applications.
    • The role is accountable for testing throughout the software development lifecycle, ensuring the quality,…
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Senior Machine Learning Engineer in Medical Imaging
Oncoustics
Toronto, ON
Full-time
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Job details

Here’s how the job details align with your profile.

Job type

Full-time

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.
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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