Director, Machine Learning & Platform

Flex
1d$238,000 - $350,000

About The Position

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.

Requirements

  • 10+ years of experience in machine learning, data science, or related engineering roles, with leadership experience.
  • Excellent communication skills and experience influencing senior stakeholders.
  • Proven experience building and operating production ML systems and platforms.
  • Background in fintech, financial services, payments, lending, or other regulated industries.
  • Strong technical judgment and ability to balance innovation with operational excellence.

Responsibilities

  • 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, prioritization, and insight generation
  • Internal operational tooling and responsible AI adoption
  • Partner with cross-functional stakeholders to translate complex business, customer, and regulatory problems into production ML solutions.
  • Build, mentor, and scale a small team of ML engineers and applied scientists, operating as a player-coach when needed.

Benefits

  • Competitive medical, dental, and vision available from Day 1
  • Company equity
  • 401(k) plan with company match (our company match kicks off at the beginning of 2026)
  • Unlimited paid time off + 13 company paid holidays
  • Parental leave
  • Flex Cares Program
  • Free Flex subscription
  • Competitive compensation + company equity
  • Unlimited PTO
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