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Added 1 month ago
I
Lead Applied AI and Data Scientist | IFS Copperleaf
IFS
Vancouver, BC
- Full-time
…technology is the backbone of our award-winning enterprise software solutions, enabling our customers to be their best when it really matters–at the Moment of Service™. Our commitment to…
Added 1 month ago
M
Intermediate Full Stack Developer, Innovation Development
MNP
AB
- Full-time
Make an impact with our Technology - Development team as an Intermediate Full Stack Developer, Innovation Development. This diverse team of tech-savvy builders and problem solvers embraces…
Added 2 months ago
TR
AI Engineer, Product Analytics
Thomson Reuters
Toronto, ON · Canada, Toronto, Ontario
- Full-time
Product Analytics is building self-service tools and operating AI agents that influence product development; agents that monitor product health, surface anomalies, analyze user behavior,…
Added 2 months ago
A(
Machine Learning Resident - Client: Fillip Fleet
Amii (Alberta Machine Intelligence Institute)
Edmonton, AB
- Full-time
…project team with backgrounds in ML research, project management, software engineering, and new product development. This is a rare opportunity to be mentored by world-class scientists and…
Added 2 months ago
A
Applied Scientist, Tax Engine
Amazon
Vancouver, BC
- Full-time
Experience in professional software development
Added 2 months ago
SQ
AI Engineer (GPU & LLM Optimisation) – Canada / UAE / Remote
SuperQ Quantum Computing
Remote, Canada
- $90,000 to $120,000 CAD / year
- Full-time
- Remote
Learning & development stipend: conferences, AI/LLM workshops, certifications (e.g., in ML Ops, prompt engineering).
Added 2 months ago
LT
Software Engineer
Larus Technologies
Ottawa, ON
- Full-time
Advocate high quality and best-practices in software design and development;
Added 1 month ago
CM
Machine Learning Engineer
Clarius Mobile Health
Toronto, ON
- Temporary
Over the next 24 months, you'll focus on the development, training, and deployment of machine learning models in both research and production settings. This role requires strong software…
Added 2 months ago
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AI Transformation Lead
BiblioCommons
ON · Canada - Ontario
- Full-time
Added 2 months ago
CP
Senior Cyber Security Engineer
CAAT Pension Plan
Toronto, ON · Head Office
- Full-time
Partner with development teams as an Application Security SME to foster a security‑first culture, promoting proactive ownership of security controls throughout software development.
Added 2 months ago
C
AI Architecture Specialist
CAE
Montreal, QC
- Full-time
At CAE, our Technology & Product Development team is dedicated to shaping the future with immersive systems and pioneering technologies that elevate safety and readiness worldwide. From…
Added 1 month ago
GD
Director, Enterprise Data & Integration
General Dynamics Missions System International
Ottawa, ON
- Full-time
Enterprise Data Strategy & Capability Development
Added 2 months ago
C
Solution Architect
CPKC
Calgary, AB
- Full-time
…accountability, and pride. With opportunities for training, development, and advancement, you’re not just building a career - you’re part of something bigger. Together, we move goods,…
Added 1 month ago
IA
Machine Learning Engineer
Invision AI
Remote, Canada
- Full-time
- Remote
Share ML knowledge and collaborate with software, product, and other engineering teams
Added 2 months ago
AM
AI and Automation Software Engineer
Advanced Micro Devices, Inc
Vancouver, BC
- Full-time
The AMD NBIO Team is on the lookout for a seasoned Software Engineer to lead our AI and Automation innovation. As a key contributor to the success of AMD’s IP, you will be leading the…
Added 2 months ago
Principal Data and Applied Scientist
SAP
Montreal, QC
Strong Python and SQL skills with production-grade development practices; experience with ML libraries such as PyTorch, TensorFlow, or scikit-learn.
Added 2 months ago
Physical AI Engineer
EY
Toronto, ON
…machine learning, computer vision, multimodal AI, agentic AI, and software engineering. The successful candidate will work directly with humanoid robots, quadrupeds, sensors, cameras, edge…
Added 1 month ago
Staff Engineer (Platform)
Later
Vancouver, BC
7+ years of professional experience in software development, with a strong background in distributed systems, platform engineering, and driving architectural decisions.
Added 1 month ago
TT
Director of Software Product Management, MVC
Teledyne Technologies Incorporated
Richmond, BC · Montreal, QC · Canada - Richmond, BC
- Full-time
…water quality environmental monitoring, electronics design and development, oceanographic research, deepwater oil and gas exploration and production, medical imaging and pharmaceutical…
Added 2 months ago
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Senior/Staff/Principal Product Manager, AI Orchestration & Agentic Workflows
EvenUp
Toronto, ON
- $177,650 to $273,370 USD / year
- Full-time
Experience with LLMs, RAG systems, or 0→1 product development is highly preferred.
Added 2 months ago
R
Senior Principal Software Engineer, Feature Store
Redis
Remote, Canada
- Full-time
- Remote
We’re looking for a Senior Principal Software Engineer to own and drive our feature store product. This is a unique opportunity to shape the technical direction of a product that serves…
Added 2 months ago
TA
Knowledge Graph Analyst
Tiger Analytics Inc.
Toronto, ON
- Full-time
…and graph implementations, you will bridge technical graph development with strategic data governance frameworks. You will model complex data ecosystems across ontology, taxonomy,…
Added 2 months ago
Principal Data and Applied Scientist
SAP
Montreal, QC
Strong Python and SQL skills with production-grade development practices; experience with ML libraries such as PyTorch, TensorFlow, or scikit-learn.
Added 2 months ago
PN
Senior Full-Stack Developer
Projekt Network
Remote, Canada
- $110,000 to $140,000 CAD / year
- Full-time
- Remote
5+ years of professional software development experience
Added 2 months ago
HC
Co-op Engineer - Machine Learning and AI Infrastructure
Huawei Canada
Markham, ON
- Full-time
Familiarity with LLMs, AI agents, or ML evaluation workflows. Experience with frontend development such as React or TypeScript. Open-source contributions, internships, or substantial…

Invision AI

Machine Learning Engineer

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
Posted: Aug 28, 2026

Original job description

We are looking for a Machine Learning Engineer to join our Toronto team and help us take our products to the next level in terms of visual intelligence.

Our Company

Invision AI is building a universal AI platform for computer vision applications. Powered by a unique multi-camera stack that generates high-integrity 3D digital twins of dynamic environments, our technology powers disruptive, market-leading solutions in intelligent infrastructure and global Transportation.

The Role

As a Machine Learning Engineer, you will work across the full machine learning lifecycle, from data collection and labeling strategy through training, evaluation, deployment, monitoring, and ongoing improvement.

Your focus will be developing and maintaining computer vision models used in real-world products. While the work may involve researching and implementing new approaches, this is primarily an applied engineering position. We are looking for someone with a track record of building, shipping, and maintaining production ML systems.

The position includes working on projects that expand and strengthen our capabilities in object detection, image classification, geospatial tracking, and sensor fusion, with models deployed to resource-constrained edge devices.

Working within a collaborative team, you will build accurate, efficient, and principled solutions. As a key contributor to the company's next stage of growth, you will help advance our products, solve challenging customer problems, and shape our ML engineering practices in a fast-moving environment.

Location

This is a full-time, hybrid position based in Toronto. You will work from our downtown Toronto office three days per week.

What You'll Do

Recommend, develop, evaluate, and deploy ML models across our product lines
Build and improve data-labeling, training, and evaluation pipelines
Establish evaluation methods that connect model performance to product and business outcomes
Prototype new product capabilities using appropriate technologies
Optimize models for latency, memory usage, power consumption, and accuracy on edge devices
Diagnose and resolve issues affecting deployed models
Monitor production performance and identify model drift, data-quality problems, and retraining needs
Write maintainable, well-tested code and clear technical documentation
Participate in design reviews, code reviews, and technical planning
Share ML knowledge and collaborate with software, product, and other engineering teams

Must Have

A track record of developing and deploying production computer vision models
Strong Python software development skills
Proficiency with frameworks such as PyTorch, TensorFlow and scikit-learn
Practical knowledge of CNNs and modern computer vision architectures
The ability to adapt open-source models to specific products and use cases
Hands-on work optimizing models for resource-constrained or edge environments
Knowledge of experiment tracking, dataset versioning, and ML observability
Skill in designing evaluation metrics that reflect product and business requirements
An understanding of model monitoring and production troubleshooting
Working knowledge of embedded systems and their constraints
Sound software engineering practices, including automated testing, code review, version control, and continuous integration
Strong written and verbal communication skills
Must be legally entitled to work in Canada

Bonus Skills

Familiarity with Docker or other container technologies
C++ development skills
GPU programming or performance-optimization knowledge
Knowledge of model compression techniques, including quantization, pruning, and knowledge distillation
Familiarity with edge inference tools such as ONNX Runtime, TensorRT
Familiarity with traditional, non-ML image-processing techniques
A background in sensor fusion or geospatial data

A Mission that Matters: The opportunity to work on projects that make the world safer and greener

Excellence: A culture of very high technical standards where quality engineering is valued over quick hacks

Technical Challenge: A wide variety of technology and tasks, including web development, distributed and edge computing, ML, real-time processing, and computer vision

Growth Environment: Join an international team where your voice is heard and your impact is visible

Compensation and benefits: Competitive salary package including equity, allowing you to share in the success you help build. Benefits: RRSP Plan, Health and Dental and 4 weeks holiday.

Apply About employer

More about this job

Responsibilities

You will develop, evaluate, and deploy computer vision models across the full machine learning lifecycle for real-world products. Additionally, you will optimize these models for edge devices while maintaining production pipelines and monitoring performance.

Requirements

Candidates must have a proven track record of developing and deploying production computer vision models using Python and frameworks like PyTorch or TensorFlow. Strong software engineering practices and experience with embedded systems or edge environments are essential.

Skills

Python
PyTorch
TensorFlow
Scikit-learn
Computer vision
CNNs
Object detection
Image classification
Geospatial tracking
Sensor fusion
Edge computing
Model optimization
Embedded systems
Machine learning lifecycle
Software engineering
Continuous integration

Benefits

Equity
RRSP Plan
Health Insurance
Dental Insurance
4 weeks holiday

Visa sponsorship

Not detected in the job text

Keywords

Machine Learning Engineer
Computer Vision
Python
PyTorch
TensorFlow
Scikit-learn
CNN
Object Detection
Image Classification
Geospatial Tracking
Sensor Fusion
Edge Devices
Latency Optimization
Model Monitoring
Embedded Systems
Docker
C++
GPU Programming
Quantization
Pruning
Knowledge Distillation
ONNX Runtime
TensorRT
Continuous Integration
Version Control
Automated Testing
Data Labeling
Model Drift
Infrastructure
Transportation

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