✦ Luna Orbit — AI & Machine Learning

Software Engineer, Machine Learning Infrastructure

at Stripe

📍 Seattle, SF Onsite Posted March 03, 2026
Type Not Specified
Experience mid
Exp. Years 2+ years
Education Not specified
Category AI & Machine Learning

Stripe seeks a mid-level engineer to develop and enhance ML infrastructure, enabling efficient ML lifecycle management and deployment of AI models, including LLM applications.

  • Design and build scalable ML services
  • Collaborate with ML engineers and data scientists
  • Improve ML development velocity
  • Work on ML lifecycle tools
  • Build LLM applications

The role involves building scalable, reliable ML services and tools, working with distributed systems, service-oriented architecture, and MLOps practices to support AI/ML workflows.

The ideal candidate is a mid-level software engineer with at least 2 years of experience in building scalable, reliable ML infrastructure and platforms, including experience with LLM applications and MLOps solutions. They are collaborative, proactive, and passionate about AI/ML development.

full-time software development experienceexperience with production ML platforms or MLOpsbuilding LLM applications
experience with scalablereliable servicesexperience with data explorationexperience with feature generationexperience with experimentationexperience with training and deploying ML models
ML platformsML toolsLLM applications
machine learningMLML infrastructuredistributed systemsservice-oriented architecturescalable servicesML lifecycleLLMMLOpsdata explorationfeature generationtrainingdeploymentAI
machine learningMLML infrastructuredistributed systemsservice-oriented architecturescalable servicesML lifecycleLLMMLOps
collaborationproblem-solvingcommunicationlearningownership
Industry Fintech
Job Function Developing ML infrastructure and tools to support AI/ML lifecycle and deployment
machine learningMLML infrastructuredistributed systemsservice-oriented architecturescalable servicesML lifecycleLLMMLOpsdata explorationfeature generationtrainingdeploymentAIartificial intelligence

Less than 2 years of professional software development experience, Lack of experience with ML platforms or MLOps

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