Director, Machine Learning

This is a fully remote position, open to applicants in Canada.

📋 Description

• Lead the machine learning initiatives related to identity resolution, fraud detection, risk assessment, and consumer insights.

• Develop the ML strategy, roadmap, and execution plans.

• Assemble and expand a globally distributed team of ML engineers.

• Recruit, mentor, and nurture senior individual contributors and managers.

• Establish standards for model development, assessment, deployment, and monitoring.

• Enhance identity resolution coverage, precision, and accuracy in profile classification.

• Oversee the performance of the IRIS model, focusing on detection rates, false-positive rates, label quality, and feedback loops.

• Create the ML platform infrastructure, including feature stores, training pipelines, model registries, online serving, and drift/performance monitoring.

• Collaborate with AI engineering on identity and risk signals to inform NAVI agent decisions.

• Work together with Product, Engineering, Security, and Customer Success teams.

• Manage build-versus-buy decisions and assess data-partner economics.

• Convey model performance, risks, and trade-offs to executives, retailers, and the board.

⛳️ Requirements

• Over 12 years of experience in engineering.

• More than 5 years of leadership experience managing ML or data teams, including senior individual contributors or managers.

• Proficient in reading training pipelines, evaluating feature specifications, and analyzing model metrics.

• Proven track record of deploying ML systems that make significant automated decisions in production, managing drift, retraining, and incidents post-launch.

• Extensive experience with entity resolution/identity graphs, fraud detection, risk scoring, or large-scale anomaly detection.

• Knowledgeable in precision/recall trade-offs, holdout hygiene, and model feedback loops.

• Experience in building or scaling ML infrastructure, including feature pipelines, training orchestration, online model serving, monitoring, and alerting.

• Proficient in Python.

• Familiar with Spark, Airflow or similar tools, streaming technologies, and cloud data warehouses.

• Experience working with GCP.

• Proven experience in hiring and retaining engineering talent.

• Ability to thrive in a fast-paced, flat-structured environment.

• Bachelor's or Master's degree in computer science, statistics, or a related field.

• Based in Canada and available to work during EST/EDT or PST hours.

🏝️ Benefits

• Annual bonus.

• Equity options.

• Comprehensive benefits package.

• Fully remote work arrangement.

• A culture of low ego, high trust, and the freedom to perform at your best.

• Professional celebrations and team-building events.