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.
Senior Machine Learning Engineer, Recommendation Systems
September 6
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
• Design, deploy, and scale ML systems that power real-time recommendations across millions of user journeys • 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 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 teams to launch personalization features • Implement monitoring systems and maintain ownership for model reliability • Own modeling, feature engineering, data pipelines, and experimentation workflows
🎯 Requirements
• 5+ 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 experimentation infrastructure (MLflow, W&B) • Experience with feature engineering, data pipelines, and model deployment at scale
🏖️ Benefits
• Remote-first team spanning over 15 countries • High-growth, high-performance culture emphasizing speed, ownership, and measurable impact • Opportunity to accelerate your career by owning outcomes and driving impact • Work with global team of high-performers • Commitment to diversity, equity, and inclusion; Equal Employment Opportunity
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