Surgical AI Scientist

Adoc Talent Management

. Develop, train, and deploy deep learning models operating on live video streams and preoperative medical images .

Posted 11/4/2026full-timeMontreal • CanadaJuniorMid-LevelWebsite

Core Competencies

Role fit

Core Competencies

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Demonstrates expertise in developing and deploying deep learning models for medical imaging and video streams, with a strong foundation in Python, PyTorch, and MLOps practices. Proficient in collaborating with clinical specialists and adhering to regulatory standards such as HIPAA and IEC 62304.

Highest-signal resume keywords

Deep Learning Model DevelopmentPython ProficiencyMLOps PracticesComputer Vision SystemsClinical Dataset Management

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills

Deep LearningPythonPyTorchGeometric VisionMulti-View GeometryOptical FlowImage ProcessingClean Code PracticesVersion ControlUnit Testing

Soft Skills

CollaborationProblem SolvingCommunication

Tools & Technologies

OpenCVGitDockerCI/CD PipelinesNVIDIA TensorRTONNXOpenVINO

Industry Keywords

HIPAAGDPRIEC 62304ISO 13485Surgical AI3D Scene ReconstructionMonocular Visual SLAMSoft-Tissue Deformation Models

Tech Stack

Tools & technologies

DockerPythonPyTorchC++

About the role

Key responsibilities & impact

Develop, train, and deploy deep learning models operating on live video streams and preoperative medical images
Develop and refine deep learning models for video streams and medical images
Use self-supervised learning, domain adaptation, and synthetic data augmentation for sparse medical datasets
Convert Python prototypes into low-latency inference pipelines
Apply MLOps practices for experiment tracking and dataset version management
Define reference protocols with clinical specialists
Organize and anonymize clinical datasets in accordance with HIPAA/GDPR standards
Write modular code and documentation complying with IEC 62304 / ISO 13485 standards
Collaborate with algorithm experts, software engineers, and clinical advisors to transform surgical videos and medical images into real-time perceptual intelligence

Requirements

What you’ll need

Ph.D. in computer science, biomedical engineering, electrical engineering, or a related technical field
Master’s degree combined with 2–5 years of practical industry experience developing and maintaining computer vision or deep learning systems in production
Advanced proficiency in Python and PyTorch
Solid foundation in geometric vision, multi-view geometry, optical flow, and image-processing libraries such as OpenCV
Proven experience writing clean, maintainable code under version control, including Git, Docker, CI/CD pipelines, and unit tests
Proven ability to tackle ambiguous visual challenges, demonstrated through peer-reviewed first-author publications or successful commercial software delivery
Proficiency in French and English
Knowledge of surgical AI challenges and the state of the art in the field is an asset
Practical proficiency in modern C++ is an asset
Knowledge of NVIDIA TensorRT, ONNX, and OpenVINO is an asset
Experience training LLMs and/or multimodal models is an asset
Experience with 3D scene reconstruction methods such as SfM, 3DGS, or NeRF is an asset
Experience with monocular visual SLAM methods is an asset
Experience with soft-tissue deformation models such as FEM, PBD, and XPBD is an asset
Basic knowledge of IEC 62304 and ISO 14971 standards is an asset
Must be authorized to work in Canada
Must work three days per week in the office

Benefits

Comp & perks

Hybrid work arrangement
Opportunity to work at an innovative medical technology startup
Opportunity to develop AI and computer vision solutions for minimally invasive surgery