Machine Learning Engineer, Full-time

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
Requirements
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
Benefits

• 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.