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Senior Data Engineer (AI Systems)

Movable Ink
Toronto, OntarioOn-site2 weeks ago
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About this role

• The AI Systems team owns the core recommendations engine and ML platform that powers billions of AI-driven marketing decisions daily across some of the world’s largest consumer brands • As a Senior Data Engineer, you will own the Spark-based data pipelines and data infrastructure at the heart of this system - building, scaling, and optimizing the data layer that feeds our production ML models • You will work alongside ML engineers and scientists in a collaborative environment, contributing data pipelines and products to power our core recommender systems and our DaVinci Personalization product • This is an opportunity to work end-to-end on large-scale data systems that touch millions of customers, on a team working at the intersection of data engineering and machine learning • This role will be reporting to the Director of Engineering (AI/ML) • Build, maintain, and optimize production data pipelines that power AI-driven personalization at scale across content selection, send-time optimization, subject line personalization, and frequency capping • Own and scale Spark-based batch pipelines, including cluster configuration, tuning, and performance optimization across GCP Dataproc • Build and maintain our ML Data Lake, ensuring data quality, accessibility, and efficient storage • Support the data needs of ML Engineers and Scientists for model development, training, and evaluation • Identify and resolve performance bottlenecks and scaling limitations in data pipelines and infrastructure • Collaborate with distributed systems engineers on the platform’s architectural evolution, ensuring data layer continuity throughout • Continuously improve data infrastructure for greater scalability and reliability • Release features and data products that deliver measurable and tangible business value Benefits • Generous PTO • Global Mental Health and Well-Being Benefits • 401K Contribution • Employee Resource Groups • Volunteer Opportunities • Social Events and Activities • Flexible Work Opportunities • Comprehensive Health Benefits • Parental Leave and Support
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