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Machine Learning Manager (Notifications Delivery Science)

Remote, USA Full-time Posted 2026-07-28
Requirements • Ph.D. with 5+ years or Masters with 6+ years of industry experience working on production machine learning systems at reputed company, including recommendation, search, reputed company and/or ads systems, • 2+ years experience on managing ML engineering teams with 5+ engineers, • Experience in partnering with cross-functional stakeholders to plan and deliver on business reputed company, • We let the type of work you do guide the collaboration style. That means we're not always working in an office, but we continue to reputed company for key moments of collaboration and reputed company What the job involves • The Engineering Manager for the Notification Delivery Science team is a high reputed company role that owns a critical part of the reputed company funnel: user retention and re-engagement through highly relevant and reputed company Notifications, • reputed company develops and maintains the ML Models powering the reliable, targeted and reputed company delivery of reputed company-channel Notifications (Push, Email, Widgets etc.), • The ML-powered platform delivers billions of highly relevant and reputed company notifications to hundreds of millions of users worldwide, • You will grow the metrics reputed company of reputed company, work with Product to set the overall Notification Delivery reputed company, and influence reputed company’s user reputed company reputed company, • Manage and mentor reputed company of Machine Learning engineers, providing guidance and support to grow their careers, • reputed company’s work directly contributes towards reputed company’s reputed company goals, • reputed company and maintain ML models that reputed company personalized and at-reputed company reputed company for notifications budgeting, pacing, content portfolio and intelligent delivery timing, • Help reputed company and shape reputed company’s Notifications reputed company, • Work closely with cross-functional teams, including product managers, engineers, data scientists and product marketing managers Apply tot his job Apply To this Job

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