Machine Learning Platform Engineer
职位介绍
Own end-to-end ML platform initiatives—from gathering stakeholder requirements to delivering developer-ready solutions and driving adoption.
Explore and leverage large, unique datasets to extract actionable insights, inform product decisions, and optimize features.
Build and maintain production-ready AI features and ML systems that scale to tens of millions of active users.
Ensure production ML operational excellence with automated retraining, performance monitoring, feature logging, and A/B testing.
Experiment with generative AI technologies—LLMs, vector stores, and agent frameworks—to drive step-function improvements.
Collaborate across teams in a hybrid SF-based environment, owning your work, mentoring others, and delivering measurable business impact.
Explore and leverage large, unique datasets to extract actionable insights, inform product decisions, and optimize features.
Build and maintain production-ready AI features and ML systems that scale to tens of millions of active users.
Ensure production ML operational excellence with automated retraining, performance monitoring, feature logging, and A/B testing.
Experiment with generative AI technologies—LLMs, vector stores, and agent frameworks—to drive step-function improvements.
Collaborate across teams in a hybrid SF-based environment, owning your work, mentoring others, and delivering measurable business impact.
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