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 agile environments, our technology powers disruptive, market-leading solutions in intelligent infrastructure and globalTransportation.

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 requirementsAlthough we cannot look to you if you are not actively in Canada. (note:



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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.

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📌 Machine Learning Engineer (Toronto)
🏢 Invision AI
📍 Toronto