Launch Potato
Media • B2C
Launch Potato is South Florida's fastest growing digital media company, founded by a group of young and ambitious individuals with a history of building successful direct-to-consumer digital businesses. Headquartered in Delray Beach, FL, Launch Potato operates with a distributed global team. The company focuses on solving complex problems with smart marketing, great engineering, data science, and fun, emphasizing its commitment to innovation and scalability.
Lead Machine Learning Engineer, Recommendation Systems
September 8
Launch Potato
Media • B2C
Launch Potato is South Florida's fastest growing digital media company, founded by a group of young and ambitious individuals with a history of building successful direct-to-consumer digital businesses. Headquartered in Delray Beach, FL, Launch Potato operates with a distributed global team. The company focuses on solving complex problems with smart marketing, great engineering, data science, and fun, emphasizing its commitment to innovation and scalability.
📋 Description
• Drive business growth by building and optimizing recommendation systems that personalize experience for millions of users daily • Own modeling, feature engineering, data pipelines, and experimentation for personalization • Build 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 <50ms across key product surfaces • Run statistically rigorous A/B tests to measure true business impact • Optimize for latency, throughput, and cost efficiency in production • Partner with product, engineering, and analytics to launch high-impact personalization features • Implement monitoring systems and maintain clear ownership for model reliability
🎯 Requirements
• 7+ 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) • Skilled with SQL and 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 • Technical mastery of ML architecture, deployment, and tradeoffs • Experience setting up experimentation infrastructure (MLflow, W&B) • Strong analytical thinking and experimentation design • Collaborative cross-functional experience with engineers, PMs, and analysts
🏖️ Benefits
• Remote-first team spanning over 15 countries • High-growth, high-performance culture • Diverse, inclusive team and Equal Employment Opportunity
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