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Overview Senior Machine Learning Engineer, Recommendation Systems at Launch Potato. Role focuses on building, deploying, and scaling personalization systems to power real-time recommendations across millions of user journeys. We’re hiring a Machine Learning Engineer (Recommendation Systems) to build the personalization engine behind our portfolio of brands. You’ll design, deploy, and scale ML systems that power real-time recommendations across millions of user journeys, serving 100M+ predictions daily and impacting engagement, retention, and revenue at scale. Responsibilities Drive business growth by building and optimizing recommendation systems that personalize experiences for millions of users daily. Own modeling, feature engineering, data pipelines, and experimentation to improve personalization speed, relevance, and impact. Build and deploy ML models serving 100M+ predictions per day to personalize user experiences at scale. Enhance data processing pipelines (Spark, Beam, Dask) for efficiency and reliability. Design ranking algorithms balancing relevance, diversity, and revenue. Deliver real-time personalization with latency

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