Tech Stack

Description

You will design and build scalable ML infrastructure services, working with ML engineers to enable seamless end-to-end ML lifecycle management. Your work will power data exploration, feature generation, experimentation, training, serving, and LLM applications at Stripe.

Requirements

• 2+ years professional software development with service-oriented architecture and large-scale distributed systems
• Experience through full software development lifecycle from users to operations
• Experience with production ML platforms, MLOps, or LLM applications
• Experience running high availability, low latency systems
• Experience partnering with teams to drive business outcomes

Responsibilities

• Design and build scalable, reliable, secure services for notebooks, ML model training, experimentation, serving, and LLM applications across regions
• Create services and libraries for seamless transition from experimentation to production
• Work with product teams and ML engineers to improve productivity
• Own technical and product challenges across diverse systems and technologies