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Added 27 mins ago
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Adoc Talent Management

Surgical AI Scientist

Remote, Canada

Remote

Full-time

Apply About employer

Applications open in a new tab.

Job details

Job type: Full-time
Workplace: Remote
Posting language: English · French
Posted: Nov 4, 2026

Original job description

English section of this bilingual listing.

Are you ready to join an innovative medical technology startup dedicated to improving healthcare?

Our client is a software company that develops AI and computer vision-based solutions to make surgery minimally invasive, smarter and safer. They are revolutionizing the operating room with their real-time image processing technology. It's a co-pilot of the human body, guiding surgeons with unprecedented precision and confidence.

To accelerate the growth of their company, they are looking for an AI Scientist/Engineer who will play a key role in developing, training, and deploying deep learning models that operate directly on live video streams as well as on preoperative medical images.

You will work closely with algorithm experts, software engineers, and clinical advisors to transform intraoperative surgical videos and preoperative medical images into real-time perceptual intelligence.

Hybrid mode :3 days in the office
REQUIRED: The candidate must be authorized to work in Canada

Missions:

Development and refinement of deep learning models for video streams and medical images
Use of self-supervised learning, domain adaptation, and synthetic data augmentation for sparse medical datasets
Conversion of Python prototypes into low-latency inference pipelines
Applying MLOps practices for experiment tracking and dataset version management
Defining reference protocols with clinical specialists
Organizing and anonymizing clinical datasets in accordance with HIPAA/GDPR standards
Writing modular code and documentation that complies with IEC 62304 / ISO 13485 standards.

Profile:

Ph.D in computer science, biomedical engineering, electrical engineering, or a related technical field.
Or a master’s degree combined with 2–5 years of practical industry experience in the development and maintenance of computer vision or deep learning systems in production.
Deep learning frameworks: Advanced proficiency in Python and PyTorch
Fundamentals of computer vision: Solid foundation in geometric vision, multi-view geometry, optical flow, and image processing libraries (OpenCV)
Engineering standards: Proven experience writing clean, maintainable code under version control (Git, Docker, CI/CD pipelines, unit tests)
Problem-solving: Proven ability to tackle ambiguous visual challenges, whether demonstrated through peer-reviewed publications as first author or through the successful delivery of commercial software.
Proficiency in French and English

Assets:

Knowledge of the challenges associated with surgical AI and the state of the art in this field
Practical proficiency in modern C++ for algorithm acceleration and edge integration
Knowledge of inference optimization frameworks (NVIDIA TensorRT, ONNX, OpenVINO)
Experience training large-scale language models (LLMs) and/or multimodal models
Experience with methods for 3D scene reconstruction from 2D images, such as SfM, 3DGS, or NeRF
Experience with monocular visual SLAM methods
Experience with soft tissue deformation models (FEM, PBD, XPBD)
Basic knowledge of standards related to software for regulated medical devices (IEC 62304, ISO 14971).

Read the full bilingual original

----- ENGLISH VERSION BELOW -----

Etes-vous prêt.e à rejoindre une startup innovante dans le domaine de la technologie médicale, dédiée à l’amélioration des soins de santé ?

Notre client est une entreprise logicielle qui développe des solutions basées sur de l'IA et de vision artificielle pour rendre la chirurgie minimalement invasive, plus intelligente et sécuritaire. Ils révolutionnent la salle d’opération avec leur technologie de traitement d’images en temps réel. C’est un copilote du corps humain qui guide les chirurgiens avec une précision et une confiance sans précédent.

Dans le but d'accélérer le développement de leur compagnie, ils sont à la recherche d'un Scientifique / Ingénieur IA qui jouera un rôle clé dans le développement, l'entraînement et déploiement des modèles d’apprentissage profond qui fonctionnent directement sur des flux vidéo en direct, ainsi que sur des images médicales préopératoires. Vous travaillerez en étroite collaboration avec des experts en algorithmie, des ingénieurs logiciels et des conseillers cliniques afin de transformer les vidéos chirurgicales peropératoires et les images médicales préopératoires en intelligence perceptuelle en temps réel.

Mode Hybride :3 jours au bureau
OBLIGATOIRE : la personne doit être autorisée à travailler au Canada

Missions :

Développement et affinage des modèles d’apprentissage profond pour les flux vidéo et les images médicales
Utilisation de l’apprentissage auto-supervisé, l’adaptation de domaine et l’augmentation des données synthétiques pour les ensembles de données médicales clairsemés
Conversion de prototypes Python en pipelines d’inférence à faible latence
Application de pratiques MLOps pour le suivi des expériences et la gestion des versions des ensembles de données
Définition de protocoles de référence avec des spécialistes cliniques
Organisation et anonymisation d'ensembles de données cliniques conformément aux normes HIPAA/RGPD
Rédaction du code modulaire et de la documentation respectant les normes CEI 62304 / ISO 13485.

Profil :

Doctorat en informatique, génie médical ou électrice ou dans une discipline technique connexe.
Ou Maitrise combiné à 2-5 ans d’expérience pratique en entreprise dans le développement et la maintenance de systèmes de vision par ordinateur ou d’apprentissage profond en production
Frameworks d’apprentissage profond : Maîtrise avancée de Python et de PyTorch
Principes fondamentaux de la vision par ordinateur : Solides bases en vision géométrique, géométrie multi-vues, flux optique et bibliothèques de traitement d’images (OpenCV)
Normes d’ingénierie : Expérience avérée dans l’écriture de code propre, maintenable et soumis à un contrôle de version (Git, Docker, pipelines CI/CD, tests unitaires)
Résolution de problèmes : Capacité avérée à relever des défis visuels ambigus, qu’elle soit démontrée par des publications évaluées par des pairs en tant que premier auteur ou par la livraison réussie de logiciels commerciaux.
Bon niveau en Francais et en Anglais

Atouts :

Connaissance des enjeux liés à l’IA chirurgicale et de l’état de l’art dans ce domaine
Maîtrise pratique du C++ moderne pour l’accélération des algorithmes et l’intégration en périphérie
Connaissance des frameworks d’optimisation de l’inférence (NVIDIA TensorRT, ONNX, OpenVINO)
Expérience dans l'entraînement de modèles de langage à grande échelle (LLM) et/ou de modèles multimodaux
Expérience des méthodes de reconstruction 3D de scènes à partir d'images 2D, telles que SfM, 3DGS ou NeRF.
Expérience des méthodes SLAM visuelles monoculaires
Expérience des modèles de déformation des tissus mous (FEM, PBD, XPBD)
Connaissances de base des normes relatives aux logiciels de dispositifs médicaux réglementés (CEI 62304, ISO 14971).

---------------------------------------------------------------------------------------------

Are you ready to join an innovative medical technology startup dedicated to improving healthcare?

Hybrid mode :3 days in the office
REQUIRED: The candidate must be authorized to work in Canada

Missions:

Development and refinement of deep learning models for video streams and medical images
Use of self-supervised learning, domain adaptation, and synthetic data augmentation for sparse medical datasets
Conversion of Python prototypes into low-latency inference pipelines
Applying MLOps practices for experiment tracking and dataset version management
Defining reference protocols with clinical specialists
Organizing and anonymizing clinical datasets in accordance with HIPAA/GDPR standards
Writing modular code and documentation that complies with IEC 62304 / ISO 13485 standards.

Profile:

Ph.D in computer science, biomedical engineering, electrical engineering, or a related technical field.
Or a master’s degree combined with 2–5 years of practical industry experience in the development and maintenance of computer vision or deep learning systems in production.
Deep learning frameworks: Advanced proficiency in Python and PyTorch
Fundamentals of computer vision: Solid foundation in geometric vision, multi-view geometry, optical flow, and image processing libraries (OpenCV)
Engineering standards: Proven experience writing clean, maintainable code under version control (Git, Docker, CI/CD pipelines, unit tests)
Problem-solving: Proven ability to tackle ambiguous visual challenges, whether demonstrated through peer-reviewed publications as first author or through the successful delivery of commercial software.
Proficiency in French and English

Assets:

Knowledge of the challenges associated with surgical AI and the state of the art in this field
Practical proficiency in modern C++ for algorithm acceleration and edge integration
Knowledge of inference optimization frameworks (NVIDIA TensorRT, ONNX, OpenVINO)
Experience training large-scale language models (LLMs) and/or multimodal models
Experience with methods for 3D scene reconstruction from 2D images, such as SfM, 3DGS, or NeRF
Experience with monocular visual SLAM methods
Experience with soft tissue deformation models (FEM, PBD, XPBD)
Basic knowledge of standards related to software for regulated medical devices (IEC 62304, ISO 14971).

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More about this job

Responsibilities

Develop and refine deep learning models for real-time surgical video streams and preoperative medical images. Collaborate with clinical and engineering teams to deploy low-latency inference pipelines while adhering to medical software standards.

Requirements

Requires a Ph.D. in a technical field or a Master's degree with 2-5 years of industry experience in computer vision or deep learning. Candidates must be authorized to work in Canada and possess strong proficiency in Python, PyTorch, and modern software engineering practices.

Skills

Python
PyTorch
Computer Vision
Deep Learning
C++
OpenCV
MLOps
Git
Docker
CI/CD
Medical Imaging
Geometric Vision
Multi-view Geometry
Optical Flow
Inference Optimization
Software Engineering

Visa sponsorship

Not detected in the job text

Keywords

Artificial Intelligence
Computer Vision
Deep Learning
Medical Technology
Python
PyTorch
C++
OpenCV
MLOps
Git
Docker
CI/CD
IEC 62304
ISO 13485
HIPAA
GDPR
NVIDIA TensorRT
ONNX
OpenVINO
Surgical AI
3D Reconstruction
SLAM
Soft Tissue Deformation
Self-supervised Learning
Domain Adaptation
Synthetic Data
Inference Pipelines
Medical Imaging
Software Engineering
Multimodal Models

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