Director, Machine Learning (AI)

Location: Remote in Canada; availability to work EST/EDT or PST hours required.

Salary: $240,000–$270,000 CAD annual, excluding bonus, equity, and benefits.

Company

hirify.global is a post-purchase commerce platform helping retailers improve customer loyalty through tracking, engagement, identity, fraud detection, and consumer intelligence.

What you will do

• Own the machine learning strategy, roadmap, and delivery across identity resolution, fraud and abuse detection, risk scoring, and consumer intelligence.
• Build and grow a high-performing, globally distributed ML engineering organization, including hiring, coaching, and developing managers and senior individual contributors.
• Set standards for model development, evaluation, deployment, monitoring, retraining, and incident response.
• Own identity-resolution and IRIS fraud-model performance, including coverage, precision, detection rates, false positives, label quality, and feedback loops.
• Build the ML platform layer, including feature stores, training pipelines, model registries, online serving, and drift and performance monitoring.
• Partner with AI Engineering, Product, Engineering, Security, Customer Success, executives, retailers, and the board on ML decisions, tradeoffs, and data partnerships.

Requirements

• 12+ years of engineering experience and 5+ years managing ML or data teams, including managers or senior individual contributors.
• Production experience with ML systems making consequential automated decisions, including ownership of drift, retraining, incidents, and post-launch performance.
• Deep experience in at least one of entity resolution, identity graphs, fraud and abuse detection, risk scoring, or anomaly detection at scale.
• Experience with evaluation for imbalanced data, precision/recall tradeoffs, holdout design, noisy labels, and feedback-loop contamination.
• Experience building or scaling ML infrastructure, including feature pipelines, training orchestration, online model serving, monitoring, and alerting.
• Fluency in Python and familiarity with Spark, Airflow or equivalent, streaming, cloud data warehouses, and GCP; BS/MS in computer science, statistics, or an equivalent background.

Nice to have

• Experience with identity-resolution or graph systems using third-party consumer data and confidence scoring.
• Experience operating adversarial ML systems, real-time inference paths, or risk systems in retail, payments, fintech, insurance, or marketplace trust and safety.
• Experience partnering with LLM or agent teams, privacy and data-governance work, or building a function, platform, or data partnership from zero.
• Experience using AI-assisted development workflows.

Culture & Benefits

• Fully remote work within the stated Canadian location and time-zone requirements.
• Startup-level ownership with platform-level impact and measurable business outcomes.
• Low-ego, high-trust environment that values judgment, responsibility, and innovation.
• Annual bonus, equity, and benefits in addition to the stated salary range.
• Global organization with hubs in San Francisco, Atlanta, London, and Bangalore.