Software Engineer, Machine Learning Infrastructure

About This RoleAI processing…

Key Responsibilities

• 1
  Designing and building scalable, reliable, and secure services for notebooks, ML model training, experimentation, serving, and LLM applications across multiple regions.
• 2
  Creating services and libraries that enable ML engineers at Stripe to seamlessly transition from experimentation to production across Stripe’s systems.
• 3
  Working directly with product teams and ML engineers to improve their day-to-day productivity.
• 4
  Taking ownership of and finding solutions for technical and product challenges by working with a diverse set of systems, processes, and technologies.

Requirements

• 2+ years of professional software development experience with a solid background on service oriented architecture and large-scale distributed systems
• Experience working through the full life cycle of software development, from talking to users, to design and implementation, to testing and deployment, to operations
• Experience working on production ML platforms, MLOps solutions, or building LLM applications
• Experience running operations for high availability, low latency systems
• Experience partnering with other teams to drive business outcomes
• A sense of pragmatism: you know when to aim for the ideal solution and when to adjust course
• Experience building and shipping production AI agents
• Familiarity with the LLMs and LLM Frameworks
• Experience training and shipping machine learning models to production to solve critical business problems

Perks & BenefitsTypical for this role