Perception / ML Engineer
On-site · Toronto
Build an on-device multi-sensor fusion engine that combines detections into unified tracks with calibrated confidence, and develop classification and behavioral inference models to distinguish targets from benign activity and environmental clutter. Optimize models for embedded GPU hardware and create field data collection, labeling, versioning, and retraining workflows for challenging operating conditions.
