Jobs in Saint-Eustache, QC and nearby (34,849 jobs)

Jobs within 25 km of Saint-Eustache, QC, Canada. Nearby towns and cities are included. Distances are straight-line, not driving distances.

34,849 listings · 4,388 employers Counted Nov 11, 2026. How we count

About these jobs

Employers hiring include RI-MUHC | Research Institute of the MUHC | #rimuhc (1,481 listings), Loblaw Companies Limited (905 listings), Desjardins (665 listings).

Common roles: Project manager, Retail sales associate, Software developer.

2,574 of these listings include employer-provided pay. Open a job to see its currency and pay period.

Advertised starting pay
Pay period	Median starting pay	Listings
CAD / hour	30.00	1,384
CAD / year	80,000.00	1,157

Employer-listed minimums from at least 10 listings per currency and pay period. These are advertised starting amounts, not employee salaries. Jobs without a minimum and unusual amounts are excluded.

Workplace classifications: 0% remote, 33% hybrid, 67% on-site, 0% not specified. Hybrid and on-site classifications may be inferred from descriptions. Check the original ad.

Based on the dated count above. Listings can change. How we count

Jobs in Saint-Eustache, QC and nearby

Within 25 km

Group jobs by employerEmail me new jobs Save this search

Added 1 day ago
GT
Softgoods Supervisor (Full-Time)
Giant Tiger
Boisbriand, QC
- Full-time
A typical full-time schedule will consist of day shifts, two evenings per week, and alternating weekends with a schedule of 35-40 hours weekly
Added 1 day ago
GT
Cashier (Part-Time)
Giant Tiger
Boisbriand, QC
- Part-time
A typical full-time schedule will consist of day shifts, two evenings per week, and alternating weekends with a schedule of 35-40 hours weekly
Added 1 day ago
Cost control manager
Pomerleau
Montreal, QC
Added 1 day ago
S
Spécialiste de la croissance de catégories, COP / Category Growth Specialist, COP
Sysco
Montreal, QC
- Full-time
Added 1 day ago
District Manager (Rivière-du-Loup)
Dollarama
Mont-Royal, QC
The candidate must have a proven track record of outstanding performance as a Store Manager;
Added 1 day ago
G
Security Analyst - Pentest
GoSecure
Montreal, QC
- Full-time
Added 1 day ago
G
Security Analyst - Pentest
GoSecure
Montreal, QC
- Full-time
Added 1 day ago
LM
Réceptionniste
LASIK MD
Laval, QC
- Full-time
Added 1 day ago
EH
Clinical Assistant
Eye Health MD
Pointe-Claire, QC
- Full-time
Added 1 day ago
K
Door Fabricator/Service Center Operator
Kawneer
Pointe-Claire, QC
- Full-time
Added 1 day ago
I
Analyste comptable / Accounting Analyst
Ilagiisaq-FCNQ
Baie-D'Urfé, QC
- Full-time
Added 1 day ago
KR
Dynamics CRM Senior Technical Architect
KTek Resourcing
Montreal, QC
- $110 to $120 CAD / hour
- Contract
Must Have Skills · The resource must live in the proximity of the client office and be able to be onsite 40 hrs./week.
Added 1 day ago
S
Spacecraft EMC Systems Engineer
Scalian
Montreal, QC
- Full-time
Added 1 day ago
MS
Technicien(ne) en contrôle qualité / Quality Control Technician
Mid-Day Squares
Montreal, QC
- $28 to $33 CAD / hour
- Full-time
Quart de jour / Day Shift | Lachine, Québec | Temps plein / Full-time
Added 1 day ago
OS
Enterprise Windows Desktop Engineer
Open Systems Technologies
Montreal, QC
- Contract
Added 1 day ago
CS
Instructor, Entrepreneurship and Business Innovation (Montreal)
Circuit Stream
Montreal, QC
- $1,500 to $1,650 CAD / week
- Contract
Added 1 day ago
AC
Partner, Projects and Process Improvement
Air Canada
Dorval, QC
- Full-time
Added 1 day ago
AC
Product Owner - Procurement and External Workforce Technologies
Air Canada
Dorval, QC
- Full-time
Must have experience with SAP Ariba (Buying & Invoicing, Sourcing, Contracts, SLP, Business Network)
Added 1 day ago
Senior Specialist, Client Relations
CMHC - SCHL
Montreal, QC
Added 1 day ago
Bilingual Senior Specialist, Client Relations
CMHC - SCHL
Montreal, QC
Added 1 day ago
Gaming Threat Intelligence Analyst
Epic Games
Montreal, QC
Added 1 day ago
WC
(CAN) OMNI Customer Fulfillment Associate
Walmart Canada
Laval, QC
- Contract
Added 1 day ago
IG
NDT Technician
Insight Global
Mirabel, QC
- $80,000 to $105,000 CAD / year
- Full-time
Shift: Day shift, approximately 6:35 AM to 3:20 PM
Added 1 day ago
VA
Vice-président(e), Ventes et stratégie commerciale | Vice President, Sales & Commercial Strategy
Vortex Aquatic Structures International
Pointe-Claire, QC
- Full-time
Added 1 day ago
IG
Embedded Developer
Insight Global
Sainte-Anne-de-Bellevue, QC
- $50 to $100 CAD / hour
- Contract

Scopia Surgical

Surgical AI Engineer / Scientist

Montreal, QC, Canada

Full-time

Apply on LinkedIn About employer

Applications open in a new tab.

Job details

Job type: Full-time
Apply by: May 2, 2027
Posting language: English
Posted: Nov 3, 2026

Original job description

Company Overview

Scopia Surgical is an innovative MedTech startup dedicated to improving healthcare through solutions based on artificial intelligence and computer vision. We develop cutting-edge technologies for surgical treatment through medical image analysis, with the goal of significantly transforming healthcare delivery.

Position Overview

We are seeking an adaptable, high-impact Surgical AI Engineer / Scientist to develop, train and deploy deep learning models that operate directly on live endoscopic and laparoscopic video feeds and on preoperative medical imaging. You will collaborate closely with senior algorithm leads, software engineers, and clinical advisors to turn intraoperative surgical video and preoperative medical imaging into real-time perceptual intelligence.

Key Responsibilities

Develop and refine deep learning models for endoscopic 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 standard MLOps practices for experiment tracking and dataset versioning.
Define ground-truth protocols with clinical specialists.
Curate and anonymize clinical datasets following HIPAA/GDPR standards.
Write modular code and documentation adhering to IEC 62304 / ISO 13485 standards.

Essential Qualifications

Option A (Ph.D. Path): Ph.D. in Computer Science, Biomedical Engineering, Electrical Engineering, Robotics, or a related quantitative field with a primary research focus on computer vision, medical image analysis, or robotic perception. No prior industry experience required.
Option B (Master’s Path): Master’s degree in Computer Science, Electrical Engineering, Biomedical Engineering, or related technical discipline, paired with 2 to 5 years of hands-on industry experience building and maintaining computer vision or deep learning systems in production.
Deep Learning Frameworks: Advanced proficiency in Python and PyTorch.
Computer Vision Fundamentals: Solid grounding in geometric vision, multi-view geometry, optical flow, and image processing libraries (OpenCV).
Engineering Standards: Demonstrated experience writing clean, maintainable, version-controlled code (Git, Docker, CI/CD pipelines, unit testing).
Problem-Solving: Proven ability to navigate ambiguous visual challenges, whether demonstrated through first-author peer-reviewed publications or successful commercial software deliverables.

Preferred Qualifications

Knowledge of surgical AI challenges and state of the art.
Prior experience with endoscopic, laparoscopic, or medical imaging benchmarks (e.g., EndoVis, Cholec80).
Working knowledge of modern C++ for algorithm acceleration and edge integration.
Familiarity with inference optimization frameworks (NVIDIA TensorRT, ONNX, OpenVINO).
Experience with LLMs and/or multimodal models training.
Experience with scene 3D reconstructions methods 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 understanding of regulated medical device software standards (IEC 62304, ISO 14971).

Key Abilities

Analytical mind and rigor. The candidate must be responsible and reliable.
Ability to work in a multidisciplinary environment.
Autonomy and adaptability. The candidate must be proactive, curious, and resourceful.
Excellent written and verbal communication skills in French and English.

Why Join Us:

Be part of a passionate and dynamic team working at the forefront of medical innovation.
Contribute to the development of products with a significant social and technological impact.
Opportunities for rapid career growth in a fast-growing startup.
Stimulating and collaborative work environment.

Apply on LinkedIn About employer

More about this job

Responsibilities

Develop, train, and deploy deep learning models for live endoscopic and laparoscopic video and preoperative medical imaging, including techniques for sparse datasets and low-latency inference. Collaborate with clinical and engineering teams to define ground-truth protocols, curate compliant datasets, apply MLOps practices, and produce modular, documented software aligned with medical device standards.

Requirements

Candidates must have either a Ph.D. focused on computer vision, medical image analysis, or robotic perception, or a relevant master's degree plus 2–5 years of industry experience building production computer vision or deep learning systems. Advanced Python and PyTorch skills, computer vision fundamentals, and experience with maintainable software engineering practices are required; French and English communication skills are also specified.

Skills

Python
PyTorch
Computer Vision
Medical Image Analysis
Deep Learning
Geometric Vision
Multi-View Geometry
Optical Flow
OpenCV
MLOps
C++
Inference Optimization
3D Reconstruction
Visual SLAM
Clinical Dataset Curation
Medical Device Software Standards

Visa sponsorship

Not detected in the job text

Keywords

Artificial Intelligence
Computer Vision
Surgical AI
Deep Learning
Python
PyTorch
Endoscopic Video
Laparoscopic Video
Medical Imaging
Self-Supervised Learning
Domain Adaptation
Synthetic Data Augmentation
MLOps
Dataset Versioning
OpenCV
Geometric Vision
Multi-View Geometry
Optical Flow
Git
Docker
CI/CD
Unit Testing
C++
TensorRT
ONNX
OpenVINO
3D Reconstruction
Visual SLAM
IEC 62304
ISO 13485

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Jobs in Saint-Eustache, QC and nearby