✦ Luna Orbit — Software Engineering

Software Engineer, Machine Learning Infrastructure

at Stripe

📍 Remote in the US Remote Posted April 03, 2026
Type Not Specified
Experience mid
Exp. Years 2+ years
Education Not specified
Category Software Engineering

Software Engineer, Machine Learning Infrastructure, builds scalable ML infrastructure services and tools to power the ML lifecycle across Stripe.

  • 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

Focus on notebooks, training, experimentation, serving, and LLM applications; cross-region, production-grade ML platforms and MLOps solutions.

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.

2+ years of professional software development experience with a solid background on service oriented architecture and large-scale distributed systemsExperience working through the full life cycle of software developmentExperience working on production ML platformsMLOps solutionsor building LLM applications
Experience building and shipping production AI agentsFamiliarity with the LLMs and LLM FrameworksExperience training and shipping machine learning models to production
2+ years of software developmentservice oriented architecturedistributed systemsproduction ML platformsMLOpsLLM applicationsnotebooksML model trainingexperimentationserving
collaborationcommunicationproblem-solvingteamwork
Industry Fintech
Job Function Develop ML infrastructure and tooling to support Stripe's ML lifecycle across data, analytics, and AI platforms
Role Subtype Platform Engineer
Software EngineerMachine Learning InfrastructureML InfraML OpsLLM applicationsNotebooksML model trainingexperimentationservingdistributed systemsproduction ml platformsLLM frameworksremote in the usStripedata explorationfeature generation

2+ years of software development experience, No production ML or MLOps experience

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