Senior Machine Learning Engineer, Developer Advocacy | Canada | Remote

Build and evolve an Interactive Learning recommender system, moving from a rule-based engine to increasingly personalized, continuously improving recommendations. Own the end-to-end lifecycle of recommendation models—training, versioning, monitoring, evaluation, and real-time serving—while defining what recommendation quality means across offline, online, and longitudinal metrics. Partner with software engineers and product analytics to ship measurable improvements and translate ambiguous needs into testable experiments.