Principal ML Engineer, Recommendation Systems - Remote

Overview

Launch Potato is a profitable digital media company that reaches over 30M+ monthly visitors through brands such as FinanceBuzz, All About Cookies, and OnlyInYourState. As The Discovery and Conversion Company, our mission is to connect consumers with the world’s leading brands through data-driven content and technology. Headquartered in South Florida with a remote-first team spanning over 15 countries, we’ve built a high-growth, high-performance culture where speed, ownership, and measurable impact drive success.

In Short

• 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
• Define company-wide personalization strategy and architecture, driving alignment across all ML teams
• Design and implement advanced ML solutions using cutting-edge techniques
• Create and enforce ML architecture patterns, design standards, and reusable infrastructure
• Lead multi-quarter, cross-functional initiatives that redefine how personalization impacts business KPIs
• Act as technical mentor to senior ML engineers

Requirements

• 10+ years designing, developing, and deploying large-scale machine learning systems
• Strong understanding of product impact and technical rigor
• Ability to drive decision-making and build consensus across teams
• Experience in navigating technical complexity while maintaining execution velocity
• Expertise in coaching and mentoring senior engineers
• External thought leadership in the ML community
• Curiosity and a forward-looking approach to personalization

Benefits

• Accelerate your career by owning outcomes and driving impact
• Work in a diverse and inclusive team culture
• Remote-first work environment