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.
51 - 200 employees
Founded 2015
📱 Media
👥 B2C
Lead ML Engineer, Recommendation Systems
September 9
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.
51 - 200 employees
Founded 2015
📱 Media
👥 B2C
📋 Description
• Design, deploy, and scale ML systems powering real-time recommendations across Launch Potato brands • 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 and continuous improvement
🎯 Requirements
• You’ve shipped large-scale ML systems into production that power personalization at scale • 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 • Experience with modeling, feature engineering, data pipelines and production monitoring • Experience setting up experimentation infrastructure (MLflow, W&B)
🏖️ Benefits
• Remote-first team spanning over 15 countries (LATAM remote) • High-growth, high-performance culture focused on ownership and measurable impact • Opportunity to accelerate your career by owning outcomes and driving impact • Diverse, inclusive team and Equal Employment Opportunity employer
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