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Director, Machine Learning & Platform

Hireza

Remote · Canada Full-time Executive $280k – $350k/yr 1mo ago

About the role

About Flex

Flex is a growth-stage, NYC headquartered FinTech company that is creating the best rent payment experience. It’s hard to believe that it’s 2026 and paying rent on time is expensive, inflexible, and difficult. We’re here to change that! Flex enables our users to pay rent throughout the month on a schedule that better fits their finances and budget. Our mission is to empower as many renters as possible with flexibility over their most significant recurring expense. After deliberately keeping a stealth profile as we built up unprecedented investor support and an enthusiastic user base, we are looking for motivated individuals to help us keep our mission growing. Will you be a part of the team?

The Role

Flex is seeking a Director of Machine Learning & Platform to lead the vision, strategy, and execution of our machine learning platform and applied ML initiatives. This role is responsible for building the foundational ML capabilities that power critical fintech use cases across compliance, customer success, and internal operations, enabling Flex to scale safely and efficiently. You will lead a team of ML engineers and data scientists, partnering closely with Product, Compliance, Customer Support, Risk, and Engineering leaders. This role combines ML platform ownership, hands-on applied machine learning leadership, and deep cross-functional collaboration in a fast-paced, regulated environment to deliver reliable, interpretable, and scalable ML systems with real customer and business impact.

What You’ll Do

  • Own the end-to-end machine learning platform, including model development workflows, training, deployment, monitoring, retraining, and lifecycle management.
  • Define and execute the roadmap for scalable ML infrastructure supporting both real-time and batch use cases.
  • Lead applied machine learning initiatives supporting compliance and customer success, including areas such as:
    • Compliance monitoring, alerting, and investigation support
    • Customer success automation

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