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 CompanyInvision 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 RoleAs 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.LocationThis is a full-time, hybrid position based in Toronto. You will work from our downtown Toronto office three days per week.What You'll DoRecommend, develop, evaluate, and deploy ML models across our product linesBuild and improve data-labeling, training, and evaluation pipelinesEstablish evaluation methods that connect model performance to product and business outcomesPrototype new product capabilities using appropriate technologiesOptimize models for latency, memory usage, power consumption, and accuracy on edge devicesDiagnose and resolve issues affecting deployed modelsMonitor production performance and identify model drift, data-quality problems, and retraining needsWrite maintainable, well-tested code and clear technical documentationParticipate in design reviews, code reviews, and technical planningShare ML knowledge and collaborate with software, product,



and other engineering teamsWe 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 CompanyInvision 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 RoleAs 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 team-oriented 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.LocationThis is a full-time, hybrid position based in Toronto. You will work from our downtown Toronto office three days per week.What You'll DoRecommend, develop, evaluate, and deploy ML models across our product linesBuild and improve data-labeling, training, and evaluation pipelinesEstablish evaluation methods that connect model performance to product and business outcomesPrototype new product capabilities using appropriate technologiesOptimize models for latency, memory usage, power consumption,



and accuracy on edge devicesDiagnose and resolve issues affecting deployed modelsMonitor production performance and identify model drift, data-quality problems, and retraining needsWrite maintainable, well-tested code and clear technical documentationParticipate in design reviews, code reviews, and technical planningShare ML knowledge and collaborate with software, product, and other engineering teamsRequirementsMust HaveA track record of developing and deploying production computer vision modelsStrong Python software development skillsProficiency with frameworks such as PyTorch, TensorFlow and scikit-learnPractical knowledge of CNNs and modern computer vision architecturesThe ability to adapt open-source models to specific products and use casesHands-on work optimizing models for resource-constrained or edge environmentsKnowledge of experiment tracking, dataset versioning, and ML observabilitySkill in designing evaluation metrics that reflect product and business requirementsAn understanding of model monitoring and production troubleshootingWorking knowledge of embedded systems and their constraintsSound software engineering practices, including automated testing, code review, version control, and continuous integrationStrong written and verbal communication skillsBonus SkillsFamiliarity with Docker or other container technologiesC++ development skillsGPU programming or performance-optimization knowledgeKnowledge of model compression techniques, including quantization, pruning, and knowledge distillationFamiliarity with edge inference tools such as ONNX Runtime, TensorRTFamiliarity with traditional, non-ML image-processing techniquesA background in sensor fusion or geospatial dataBenefitsA Mission that Matters: The opportunity to work on projects that make the world safer and greenerExcellence: A culture of very high technical standards where quality engineering is valued over quick hacksTechnical Challenge: A wide variety of technology and tasks, including web development, distributed and edge computing, ML, real-time processing, and computer visionGrowth Environment: Join an international team where your voice is heard and your impact is visibleCompensation 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.

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