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.
Principal Machine Learning Engineer, Recommendation Systems
September 4
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
• Establish the technical vision for personalization at Launch Potato, solving the company’s most complex ML challenges • Define company-wide personalization strategy and architecture, driving alignment across all ML teams • Solve critical technical challenges such as cold start, real-time learning, and exploration/exploitation tradeoffs • Design and implement advanced ML solutions using techniques like graph neural networks, causal models, and bandit algorithms • Create and enforce ML architecture patterns, design standards, and reusable infrastructure across teams • Lead multi-quarter, cross-functional initiatives that redefine how personalization impacts business KPIs • Act as technical mentor to senior ML engineers and guide complex decision-making • Represent Launch Potato externally via speaking, open source, or publications • Champion privacy-preserving personalization, responsible AI practices, and adaptive learning systems
🎯 Requirements
• Expertise building ML systems with deep expertise in large-scale personalization • Recognized industry expertise through patents, publications, or significant product impact • Proven success architecting ML platforms serving billions of predictions in production • Demonstrated track record of 0→1 innovation in personalization or recommender systems • Mastery across multiple ML domains including deep learning, causal inference, multi-armed bandits, and graph-based models • 10+ years designing, developing, and deploying large-scale machine learning systems with a focus on personalization • Ability to represent technical brand externally through speaking engagements, open source contributions, or publications • Commitment to privacy-preserving personalization and responsible AI practices
🏖️ Benefits
• Remote-first team spanning over 15 countries • High-growth, high-performance culture focused on speed and ownership • Equal Employment Opportunity and commitment to diversity, equity, and inclusion
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