
Director, Machine Learning at Narvar
Simplify the everyday lives of consumers.
Lead the machine learning organization for identity resolution, fraud/returns-abuse detection, risk scoring, and consumer intelligence; own strategy, roadmap, delivery, ML platform, and build-vs-buy/data-partner decisions; manage a globally distributed team, including managers and senior ICs; partner with AI engineering so identity/risk signals feed agent decisions; executive/board-facing ownership of model performance, risk, and tradeoffs; requires 12+ years in engineering and 5+ years managing ML or data teams; must have shipped consequential production ML systems and owned drift, retraining, incidents; deep experience in at least one of entity resolution/identity graphs, fraud/abuse detection, risk scoring, or anomaly detection; must understand evaluation on imbalanced/adversarial data and have built or scaled ML infrastructure; must: Python, modern data stack, GCP; bonus: identity graphs with third-party consumer data, adversarial ML, real-time inference, retail/payments/fintech/insurance/marketplace trust & safety, LLM/agent collaboration, privacy/consent/data governance, 0→1 function/platform/data partnerships, AI-assisted development workflows
Remote Canada only; must work within EST/EDT or PST hours