Position Details
About this role
Software Engineer, Machine Learning Infrastructure, builds scalable ML infrastructure services and tools to power the ML lifecycle across Stripe.
Key Responsibilities
- Design and build scalable, reliable, and secure ML infra services; enable seamless end-to-end ML lifecycle between experimentation and production; collaborate with ML engineers, data scientists, and product teams
Technical Overview
Focus on notebooks, training, experimentation, serving, and LLM applications; cross-region, production-grade ML platforms and MLOps solutions.
Ideal Candidate
The ideal candidate is a software engineer with 2+ years in production ML platforms and MLOps, comfortable working with LLMs and AI tooling to accelerate Stripe's ML lifecycle.
Must-Have Skills
Nice-to-Have Skills
Required Skills
Soft Skills
Industry & Role
Keywords for Your Resume
Deal Breakers
2+ years of software development experience, No production ML or MLOps experience
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