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Machine Learning Engineer, Growth Platform

Permanentonsite5+ yrs📍 San Francisco, 🇺🇸 United States🗣 English

Build and operate production ML systems for product recommendations at scale.

Design, train, and deploy machine learning models that power personalized product recommendations across Stripe's platform. You'll own the full lifecycle from problem definition through production monitoring, working closely with data scientists, engineers, and product teams to drive measurable business outcomes. The role requires strong software engineering discipline alongside ML expertise, with emphasis on building reliable, maintainable systems that handle contextual bandits, ranking, and agent-based recommendations.

Tech stack
PythonPyTorchTensorFlowXGBoostscikit-learnSQLSparkPySpark
Rate
Not stated by the agency
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Found at a specialist agency · listed 29 September 2026 · InsideJobs links you to the original posting.