Full-time jobs in Canada (315,739 jobs)

Explore full-time jobs across Canada. Choose a location and read the full job details.

315,739 listings · 45,425 employers Counted Nov 14, 2026. How we count

About these jobs

Employers hiring include Walmart Canada (9,625 listings), Loblaw Companies Limited (2,859 listings), WSP in Canada (2,272 listings).

Common roles: Cook, Store manager, Project manager.

59,950 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	24.00	37,041
CAD / year	82,000.00	21,280
CAD / month	5,027.00	555
USD / year	121,000.00	203
CAD / week	1,737.00	69
CAD / day	320.00	32
USD / hour	22.00	19
EUR / year	68,000.00	11
GBP / year	40,000.00	10

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: 1% remote, 15% hybrid, 83% on-site, 1% 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

Full-time jobs in Canada

Group jobs by employerEmail me new jobs Save this search

Added 1 month ago
Advanced Care Paramedic
International SOS
Redwater, ON
Candidates must be able to commute to Redwater, AB and work day/night shifts for a 4 days or 5 days rotation · Able to work day/night shifts for a 4 days or 5 days rotation
Added 1 month ago
KC
Senior Hydrotechnical Engineer
Klohn Crippen Berger
Toronto, ON · Greater Sudbury, ON · Vancouver, BC · Nanaimo, BC
- $120,000 to $150,000 CAD / year
Hybrid work opportunities (3 days per week in the office)
Added 1 month ago
Business Systems Software Engineer/Architect
Neat
Canada
Added 1 month ago
GL
Labourer
Groupe Lebel
Plaster Rock, NB
- $22.79 CAD / hour
Added 1 month ago
MC
Assistant Editor
MDPI Canada
Toronto, ON
- $54,000 to $60,000 CAD / year
Added 1 month ago
MC
Assistant Editor - Physical Sciences
MDPI Canada
Toronto, ON
- $54,000 to $60,000 CAD / year
Added 1 month ago
Sales Executive
Trader Interactive
Toronto, ON · Port Moody, BC
Added 1 month ago
Wealth Advisor
Talent Edge
Vancouver, BC
Added 1 month ago
SMB Sales Manager
Talent Edge
Remote, Canada
Added 1 month ago
H
Manager, Construction Disputes Consulting
HKA
Canada
- $130,000 to $160,000 CAD / year
Added 1 month ago
Director, Construction Claims
HKA
Canada
Added 1 month ago
Partner, Construction Claims & Disputes
HKA
Canada
Added 1 month ago
Managing Director, Construction Claims and Disputes
HKA
Canada
Added 1 month ago
Consultant, Construction Claims & Disputes
HKA
Canada
Added 1 month ago
Packaging Associate
Burnout Brands
Abbotsford, BC
Added 1 month ago
Fuel Systems Technician I
Burnout Brands
Abbotsford, BC
Added 1 month ago
Manufacturing Technician I
Burnout Brands
Abbotsford, BC
Added 1 month ago
CNC Machine Technician
Burnout Brands
Abbotsford, BC
Added 1 month ago
BB
CNC Machinist/Operator-Weekend Shift (3 X 12 Hour Shifts)
Burnout Brands
Abbotsford, BC
- $28 to $48 CAD / hour
CNC Machining Experience: CNC Vertical, Horizontal Milling and or CNC Lathe: Minimum 5 years of experience required
Added 1 month ago
BB
CNC Machinist/Operator-Day Shift (4 X 10 Hour Shifts)
Burnout Brands
Abbotsford, BC
- $28 to $48 CAD / hour
CNC Machinist - Day Shift · Our current focus is on our Day Shift:
Added 1 month ago
Creative Strategist (Paid Ads) | U.S. DTC Performance Marketing Agency
Atomic HR
Edmonton, AB · Ottawa, ON · Québec, QC · Toronto, ON · Vancouver, BC · Calgary, AB · Montréal, QC
Added 1 month ago
E
Lands Manager
Engaged
Moberly Lake, BC
- $100,000 to $125,000 CAD / year
Added 1 month ago
Warehouse Associate - Alternate Shift
Auto Electric Service
Regina, SK
Added 1 month ago
Strategic Buyer - Crop Nutrient
Sollio Agriculture
Canada
Added 1 month ago
SA
Product Engineer (PM)
Search Atlas
Toronto, ON
- $23.08 to $34.62 USD / hour

HomeTeam Network

Computer Vision Engineer

Canada

Full-time

Apply on LinkedIn About employer

Applications open in a new tab.

Job details

Job type: Full-time
Posting language: English
Posted: Nov 13, 2026

Original job description

Company Description HomeTeam Network (HTN) delivers streaming technology for professional, collegiate, Olympic, youth, and high school sports organizations. The company produces thousands of live and on-demand events every year across 42 different sports, serving audiences in Canada, the United States, and Europe. HTN focuses on reliable, high-quality sports broadcasting that scales from elite competitions to grassroots events. Team members collaborate with diverse sports partners and work with cutting-edge media technology. Joining HTN offers opportunities to influence how sports content is captured, processed, and experienced globally.

Employment type: Full-time, regular Employee

Compensation: 85k - 150k plus Equity participation

Role Description You'll build and run the computer vision behind those products: detection, tracking, automated camera framing and event recognition in live sports video. You'll own how it behaves in production, not just how it scores offline. The footage is real-world: variable arena lighting, glare, netting and glass, small fast objects, imperfect camera placement and limited venue bandwidth. Models run in real time on GPUs in the cloud and at the edge, and people watch the output live.

What you'll do

Design, train and ship detection and tracking models for players, ball or puck, and game events across several sports
Build automated camera framing that follows play at broadcast quality
Build video-based event detection for highlight generation, and evaluate it against our existing detection methods
Optimize real-time inference for GPU and edge hardware under latency, compute and bandwidth limits
Own the data loop: capture from our own game footage, annotation, dataset versioning, and targeted collection when a failure mode shows up
Define evaluation that reflects what a viewer notices (a missed play, bad framing, the wrong moment in a highlight) alongside standard metrics
Monitor models in production across venues, sports and lighting conditions, and fix what drifts
Support camera calibration and venue geometry
Build tooling that lets operations staff diagnose and clear issues during a live event
Work with streaming, platform, product and customer-facing teams on what partners need

Required

Experience shipping computer vision models to production and keeping them running
Strong Python and hands-on PyTorch or TensorFlow
Solid grounding in object detection and multi-object tracking
Experience with event or action recognition in video, including finding when an event starts and ends
Real-time video pipeline experience with OpenCV, FFmpeg or GStreamer
Comfort with messy real-world footage: occlusion, motion blur, variable lighting, compression artifacts
Willingness to own a problem end to end on a small team, from data through deployment
Clear written English and experience working with distributed teammates

Nice to have

Sports video experience: broadcast automation, player or ball tracking, sports analytics
GPU and edge deployment: TensorRT, ONNX, NVIDIA Jetson, quantization
Camera calibration, homography, multi-camera geometry or PTZ control
Audio event detection or audio-visual fusion
Annotation tooling, active learning or semi-supervised learning
MLOps: experiment tracking, dataset and model versioning
Cloud deployment on AWS or GCP
Hands-on use of AI coding tools
Familiarity with hockey, baseball, football, soccer or basketball
Working Spanish

Apply on LinkedIn About employer

More about this job

Responsibilities

Design, train, deploy, and maintain real-time computer vision models for sports video, including player and ball or puck tracking, automated camera framing, and event detection. Own the production data and evaluation loop, optimize inference for cloud and edge hardware, monitor performance across venues, and build tools to support live-event operations.

Requirements

Candidates need experience shipping and maintaining production computer vision models, strong Python skills, and hands-on experience with PyTorch or TensorFlow, object detection, and multi-object tracking. They should also have video event-recognition and real-time pipeline experience, be comfortable with challenging footage, and be able to own problems end to end while collaborating with distributed teams in written English.

Skills

Computer Vision
Python
PyTorch
TensorFlow
Object Detection
Multi-Object Tracking
Video Event Recognition
Real-Time Video Pipelines
OpenCV
FFmpeg
GStreamer
GPU Inference Optimization
Edge Deployment
Camera Calibration
Dataset Versioning
Model Monitoring

Benefits

Equity Participation

Visa sponsorship

Not detected in the job text

Keywords

Computer Vision
Sports Broadcasting
Object Detection
Multi-Object Tracking
Automated Camera Framing
Event Recognition
Highlight Generation
Python
PyTorch
TensorFlow
OpenCV
FFmpeg
GStreamer
GPU Inference
Edge Computing
TensorRT
ONNX
NVIDIA Jetson
Quantization
Camera Calibration
Homography
Multi-Camera Geometry
PTZ Control
Audio-Visual Fusion
Active Learning
Semi-Supervised Learning
MLOps
AWS
GCP
Dataset Versioning

Report this job

Work requirements

Full-time jobs in Canada