Manager II, Machine Learning - Content Success
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La posizione
Lead and grow a team of backend and ML engineers focused on building advanced signals, integrations, and systems for discovery, advertising, and growth.
Set the long-term technical vision for content distribution and recommender systems, and bridge content acquisition with recommendation pods.
Own roadmaps, technical decisions, risk mitigation, and stakeholder communication to deliver measurable business impact.
Tackle hard challenges such as scalable ML systems and candidate generators that process millions of content items daily with low latency.
Develop features and models to predict engagement, improve content freshness, and identify biases to create fairer recommendations.
Foster mentorship and cross-functional collaboration, aligning efforts to improve content discovery and user experience across surfaces.
Set the long-term technical vision for content distribution and recommender systems, and bridge content acquisition with recommendation pods.
Own roadmaps, technical decisions, risk mitigation, and stakeholder communication to deliver measurable business impact.
Tackle hard challenges such as scalable ML systems and candidate generators that process millions of content items daily with low latency.
Develop features and models to predict engagement, improve content freshness, and identify biases to create fairer recommendations.
Foster mentorship and cross-functional collaboration, aligning efforts to improve content discovery and user experience across surfaces.
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CittàRemote (US), United States