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Director, Machine Learning

5 hours, 11 minutes ago
Canada
Full-time
Executive
Machine Learning Engineer
Data Science and Analytics
Apache Airflow Apache Spark GCP LLM Machine Learning Python
Apply Now
Narvar

Narvar

Narvar is an intelligent post-purchase platform that builds loyalty through personalized experiences and smart actions, empowering brands to create lifelong customer relationships.

Media
251-1K
Founded 2012
$64M raised
View All Jobs

Description

  • Own the ML strategy, roadmap, and delivery across identity resolution, fraud and abuse detection, risk scoring, and consumer intelligence.
  • Build, hire, coach, and develop a globally distributed team of ML engineers, senior individual contributors, and managers.
  • Set standards for model development, evaluation, deployment, monitoring, and operational ownership.
  • Improve identity resolution coverage, precision, and profile classification accuracy using measured holdout baselines.
  • Own IRIS fraud-model performance, including detection rates, false positives, label quality, and feedback loops.
  • Build and scale ML infrastructure, including feature stores, training pipelines, model registries, online serving, and monitoring.
  • Partner with AI engineering to provide identity and risk signals for NAVI’s agent decisions.
  • Collaborate with Product, Engineering, Security, and Customer Success to identify and prioritize valuable ML problems.
  • Lead build-versus-buy and data-partner decisions, including third-party identity data and enrichment economics.
  • Communicate model performance, risks, and tradeoffs to executives, retailers, and the board.

Requirements

  • 12+ years of engineering experience and 5+ years managing ML or data teams, including managers or senior ICs.
  • Experience shipping and operating production ML systems that make consequential automated decisions.
  • Deep experience in at least one area: entity resolution, identity graphs, fraud and abuse detection, risk scoring, or large-scale anomaly detection.
  • Strong understanding of ML evaluation, including imbalanced-data precision/recall, holdout hygiene, noisy labels, and feedback-loop contamination.
  • Experience building or scaling ML infrastructure, including feature pipelines, training orchestration, online serving, monitoring, and alerting.
  • Fluency in Python and familiarity with Spark, Airflow or equivalent, streaming systems, cloud data warehouses, and GCP.
  • Experience hiring, retaining, and developing high-performing engineering teams.
  • Bachelor’s or master’s degree in computer science, statistics, or an equivalent background.
  • Preferred: experience with third-party consumer identity data, adversarial ML, real-time inference, or privacy and data governance.
  • Preferred: experience in retail, payments, fintech, insurance, marketplace trust and safety, LLM/agent teams, or 0-to-1 platform development.
  • Ability to work remotely from Canada within EST/EDT or PST hours.

Benefits

  • Fully remote work environment.
  • Annual salary of $240,000–$270,000 CAD.
  • Annual bonus, equity, and benefits in addition to base salary.
  • Opportunity to work with data spanning 20B+ orders and 1,300+ retail brands.
  • Startup-level ownership with platform-scale impact.
  • Equal-opportunity workplace that values diversity and inclusion.

Interested in this position?

Apply directly on the company website

Apply Now

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