Shape the future of AI/ML at Stripe as a Machine Learning Infrastructure Engineer in a hybrid work model. Collaborate with engineers and data scientists to advance ML capabilities across the platform.
As a key member of the ML Infra team, you will design and build scalable services central to ML model training, experimentation, and deployment. Your work will enhance development velocity and MLOps maturity, empowering teams to build top-tier AI solutions seamlessly. Engage in a role centered around solving complex technical challenges alongside interdisciplinary partners.
Key Responsibilities:
• Design secure services for ML model training and deployment
• Build libraries that transition ML from experimentation to production
• Collaborate with product teams to boost engineer productivity
• Solve technical challenges with diverse technology stacks
Requirements:
• 2+ years in software development with distributed systems
• Experience in ML platforms and MLOps solutions
• Background in full software development lifecycle
• Skills in high availability and low latency systems
• Ability to partner with teams for business outcomes
Contribute your expertise to enhance ML infrastructures and drive impactful AI initiatives at Stripe.
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