Top Tech Jobs & Startup Jobs in Toronto

Drive CI efforts, ensuring reliable and scalable development pipelines, while mentoring other engineers and improving developer productivity through tooling and automation.

Independently validate and monitor machine learning models used for credit underwriting, credit risk, and fraud detection. Identify weaknesses, recommend improvements, and collaborate with model owners to remediate findings. Partner cross-functionally to implement and maintain the Model Risk Management framework and support audit, compliance, and regulatory requests.

As a Machine Learning Engineer II at Affirm, you'll develop AI systems for automating customer operations and collaborate on building models while ensuring high-quality code production.

Manage and optimize the Five9 collections dialer environment and outbound dialing strategies to maximize contact rates, agent productivity, and recovery performance while ensuring regulatory compliance and cross-functional coordination.

As a Revenue Operations Analyst II, you'll design and optimize processes for lead management and lifecycle, ensuring efficiency and data integrity while supporting marketing and sales teams.

Lead strategy and execution for Affirm's consumer experience platforms across app and web. Own navigation, information architecture, design systems, and shared UX frameworks. Partner with Design, Engineering, Research, and Analytics to shape React Native platform capabilities, drive large redesigns, set standards and governance, and use data and research to improve consumer journeys and developer experience.

Develop, launch, and maintain backend systems for card issuing and transaction processing. Break down projects, collaborate with product/design/analytics, write clear well-tested code, support operations and on-call duties, create/monitor metrics, perform code reviews, and participate in hiring and team growth activities.

Lead design and implementation of Affirm's Lakehouse Platform (Iceberg, Spark, Snowflake). Define technical strategy, enable secure governed access, improve analytics engineering practices, optimize performance and cost, operate at scale, mentor engineers, and collaborate cross-functionally to deliver reliable, discoverable, and cost-efficient analytical data infrastructure.

Build and operate ML training and serving infrastructure: design, develop, and launch backend systems, support availability and on-call, collaborate cross-functionally, and improve developer velocity.

The Strategic Finance Manager will lead financial modeling, forecasting, and decision support, collaborating with senior leadership and cross-functional teams to drive business growth initiatives and performance management.