Engineering Manager, ML for Credit Risk at Scale

Stripe; United States; On-site; USD 180,000 - 240,000; Full time

Job summary

Stripe is seeking an Engineering Manager, Machine Learning Credit Risk to lead a team of ML engineers building production-grade models and risk systems at scale. You will shape technical and product direction, drive measurable business outcomes, and deliver reliable solutions balancing loss prevention with user experience.

You will collaborate with Product, Data Science, Credit Strategy, Operations, and other engineering groups; hire and develop engineers; and contribute to Stripe’s engineering

Qualifications

• 3+ years managing engineers who build and operate production ML systems.
• Experience applying ML to complex real-world problems and delivering models and supporting systems.
• Experience setting strategy across engineering, product, data science, operations, and business teams to deliver measurable outcomes.
• Experience recruiting, managing, and developing engineers in a fast-moving environment with significant autonomy.

Responsibilities

• Set and execute the strategy for detecting and mitigating credit risk through machine learning
• Own outcomes related to credit losses, profitability, detection quality, and the user experience
• Lead the design and delivery of reliable machine learning models, services, and decision systems
• Translate advances in machine learning into practical capabilities that support the team’s business goals
• Partner with Product, Data Science, Credit Strategy, Operations, and engineering teams to define priorities and deliver cross-functional programs
• Recruit, hire, and develop machine learning engineers while building an inclusive and effective team
• Contribute to broader engineering and machine learning initiatives as a member of Stripe’s engineering management team

Skills

Machine Learning

Team Leadership

Credit Risk

Cross-functional Collaboration

Production ML systems

Job description

Stripe is seeking an Engineering Manager, Machine Learning Credit Risk to lead a team of ML engineers building production-grade models and risk systems at scale. You will shape technical and product direction, drive measurable business outcomes, and deliver reliable solutions balancing loss prevention with user experience.

You will collaborate with Product, Data Science, Credit Strategy, Operations, and other engineering groups; hire and develop engineers; and contribute to Stripe’s engineering