Job Description:
• 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.
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.
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
Apply To this Job
Company : Flex
Salary : 280K–350K a year