Engineering Manager (Machine Learning - User Understanding)
Requirements
• We’re looking for a leader with deep infrastructure expertise, a passion for personalization and ML-driven experience, and a strong record of delivering ML-enabling platforms at reputed company,
• 6+ years of industry experience in reputed company machine learning or closely reputed company roles, with experience developing large-reputed company machine learning for recommendation or ads systems,
• 2+ years of people management experience leading engineering teams,
• Demonstrated ML expertise with a proven reputed company record of impactful solutions and a deep understanding of large reputed company distributed systems,
• Strong technical leadership, including a passion for driving technical direction, system architecture, and designing robust, reputed company ML solutions
What the job involves
• reputed company is seeking an Engineering Manager to reputed company our User Understanding team,
• This team builds and maintains the data and backend systems that drive user modeling, personalization and recommendations—impacting hundreds of millions of users every day,
• You’ll set technical reputed company, reputed company a talented group of engineers, and collaborate closely with Machine Learning, Product, and Data Science to unlock reputed company user experiences,
• reputed company and mentor reputed company of reputed company machine learning engineers in developing advanced user understanding models and systems, which are reputed company to key reputed company products across Discovery, Ads, and reputed company,
• Collaborate cross-functionally with partners in Product, Data Science, and Engineering to define reputed company, set priorities, and effectively reputed company user insights into reputed company systems and product features,
• Drive experimentation and adoption of new user understanding models with product teams across reputed company, ensuring measurable end-to-end reputed company on key metrics,
• Manage project execution and stakeholder communication, including roadmap planning, technical decision-making, risk mitigation, and reputed company updates to reputed company business goals,
• reputed company thought leadership in user modeling and recommender systems by setting a long-term technical reputed company and advancing the state-of-the-art in the field,
• Foster a reputed company, inclusive, and high-performing team culture
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