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Machine Learning Engineering Manager for Payment Intelligence
hace 2 meses
Stripe is a leading financial infrastructure platform that empowers businesses to thrive in the digital economy. With a mission to increase the GDP of the internet, we're committed to making it easier for companies to accept payments, grow their revenue, and unlock new opportunities.
The Payment Intelligence TeamOur team is responsible for optimizing the billions of dollars in transactions processed by Stripe annually. We leverage machine learning to maximize successful transactions, minimize payment costs, and prevent fraud. Our work has a direct impact on the success of our users and the global economy.
The RoleWe're seeking an experienced engineering manager to lead and grow a team of machine learning engineers who design, build, and deploy ML-powered services that scale globally with Stripe. As a key partner with our data science team, you'll drive the development of critical payment decisioning infrastructure that meets the needs of our users.
Responsibilities- Set the vision and strategy for the team, aligning with company objectives
- Lead by example in high-growth, high-impact environments, driving innovation and excellence
- Collaborate with cross-functional teams to develop and deploy machine learning systems and pipelines
- Improve existing ML models through new feature development and data-driven decision making
- Recruit, hire, and develop a talented team of engineers who share our passion for machine learning and innovation
- Accelerate model delivery to production through continuous engineering improvements and investments in MLOps infrastructure
- Propose and implement innovative solutions to reduce costs and combat fraud at Stripe
We're looking for someone with a strong track record of engineering management experience, particularly in machine learning and data science. If you have a passion for building and deploying ML models, a talent for leading high-performing teams, and a commitment to excellence, we encourage you to apply.
