You will own the technical vision and architecture for an AI-powered SaaS platform.
You will lead the development of AI/ML pipelines, computer vision systems, and production-grade machine learning.
You will build and maintain a high-performing, accountable, and collaborative engineering culture.
They are a fast-growing technology company focused on AI, computer vision, and industrial applications. The organization is scaling its engineering teams and culture to support rapid growth.
Deliver end-to-end computer vision projects for power grid defect detection, thermal anomalies, vegetation monitoring, and surveillance.
Advance ML research by implementing novel algorithms from papers and conducting systematic experiments for production viability.
Develop production-grade Python libraries and pipelines covering the full ML lifecycle from data ingestion to model serving.
Buzz uses AI to analyze and maintain power grid infrastructure for enhanced safety and efficiency. The team is composed of experienced ML engineers working in a collaborative, autonomous environment.
Lead the development of Retide's aerial perception capabilities, building detection and segmentation models from real-world drone and beach imagery.
Travel to Brazil, Canada, and Southeast Asia for field deployments, working alongside cleanup partners to test models outside the lab.
Own the full perception stack including multimodal sensor fusion, edge AI, active learning, and human-in-the-loop systems.
Retide builds AI and robotics infrastructure to help organizations understand and measure plastic pollution in the ocean. It is a pre-seed Canadian ocean-tech startup with a small, ambitious team that values curiosity, ownership, and progress over perfection.