Senior Machine Learning Engineer, Recommendation Systems

Há 5 dias


Porto Alegre, Brasil Launch Potato Tempo inteiro

OverviewSenior Machine Learning Engineer, Recommendation Systems — Join Launch Potato to build personalization systems powering real-time recommendations across millions of user journeys. Launch Potato is a profitable digital media company reaching 30M+ monthly visitors. We connect consumers with leading brands through data-driven content and technology. We are remote-first with teams in 15+ countries. Must Have5+ years building and scaling production ML systems with measurable business impact Experience deploying ML systems serving 100M+ predictions daily Strong background in ranking algorithms (collaborative filtering, learning-to-rank, deep learning) Proficiency with Python and ML frameworks (TensorFlow or PyTorch) SQL experience and familiarity with modern data warehouses (Snowflake, BigQuery, Redshift) plus data lakes Familiarity with distributed computing (Spark, Ray) and LLM/AI Agent frameworks Track record of improving business KPIs via ML-powered personalization Experience with A/B testing platforms and experiment logging best practices Your RoleYou will drive business growth by building and optimizing the recommendation systems that personalize experiences for millions of users daily. You’ll own modeling, feature engineering, data pipelines, and experimentation to make personalization smarter, faster, and more impactful. OutcomesBuild and deploy ML models serving 100M+ predictions per day to personalize user experiences at scale Enhance data processing pipelines (Spark, Beam, Dask) with efficiency and reliability improvements Design ranking algorithms that balance relevance, diversity, and revenue Deliver real-time personalization with latency



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