Launch Potato
Principal Machine Learning Engineer, Recommendation Systems
Launch Potato, Cleveland, Ohio, us, 44101
Principal Machine Learning Engineer, Recommendation Systems
Join to apply for the Principal Machine Learning Engineer, Recommendation Systems role at Launch Potato. Overview Launch Potato is a profitable digital media company that reaches 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 worlds leading brands through data-driven content and technology. Headquartered in South Florida with a remote-first team spanning over 15 countries, weve built a high-growth, high-performance culture where speed, ownership, and measurable impact drive success. Why join us? At Launch Potato, youll accelerate your career by owning outcomes, moving fast, and driving impact with a global team of high-performers. BASE COMPENSATION : $160,000 to $250,000 per year, paid semi-monthly. MUST HAVE : 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
EXPERIENCE : 10+ years designing, developing, and deploying large-scale machine learning systems with a focus on personalization. YOUR ROLE Establish the technical vision for personalization at Launch Potato, solving the companys most complex ML challenges and influencing strategy, architecture, and innovation across teams.
OUTCOMES 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 cutting-edge techniques (e.g., graph neural networks, causal models, 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, guiding complex decision-making and scaling team capability Represent Launch Potatos technical brand externally through speaking engagements, open source contributions, or publications Champion privacy-preserving personalization, responsible AI practices, and adaptive learning systems
COMPETENCIES Visionary Thinking: Defines the future state of ML infrastructure and personalization strategy. Balances deep technical rigor with a strong understanding of product impact. Architectural Excellence: Designs scalable, modular systems that support billions of predictions and enable rapid experimentation. Technical Influence: Drives decision-making and builds consensus across teams and stakeholders without direct authority. Expert-Level Execution: Translates research insights into production-ready solutions. Mentorship & Leadership: Coaches senior engineers and raises the technical bar for the organization. External Thought Leadership: Represents LP in the ML community and contributes to its reputation. Curious & Forward-Looking: Constantly explores new approaches to personalization and prototypes cutting-edge methodologies.
Total Compensation : Base salary is set according to market rates for the nearest major metro and varies based on Launch Potatos Levels Framework. Your compensation package includes a base salary, profit-sharing bonus, and competitive benefits. Launch Potato is a performance-driven company; future increases are based on company and personal performance. Equal Opportunity : We are committed to an inclusive, diverse workforce and an Equal Employment Opportunity company. We value diversity, equity, and inclusion. We do not discriminate based on race, religion, color, national origin, gender, sexual orientation, gender identity, age, disability, or other legally protected characteristics. How to apply : Want to accelerate your career? Apply now. Seniority level Director Employment type
Full-time Job function
Engineering and Information Technology Industries: Advertising Services
#J-18808-Ljbffr
Join to apply for the Principal Machine Learning Engineer, Recommendation Systems role at Launch Potato. Overview Launch Potato is a profitable digital media company that reaches 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 worlds leading brands through data-driven content and technology. Headquartered in South Florida with a remote-first team spanning over 15 countries, weve built a high-growth, high-performance culture where speed, ownership, and measurable impact drive success. Why join us? At Launch Potato, youll accelerate your career by owning outcomes, moving fast, and driving impact with a global team of high-performers. BASE COMPENSATION : $160,000 to $250,000 per year, paid semi-monthly. MUST HAVE : 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
EXPERIENCE : 10+ years designing, developing, and deploying large-scale machine learning systems with a focus on personalization. YOUR ROLE Establish the technical vision for personalization at Launch Potato, solving the companys most complex ML challenges and influencing strategy, architecture, and innovation across teams.
OUTCOMES 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 cutting-edge techniques (e.g., graph neural networks, causal models, 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, guiding complex decision-making and scaling team capability Represent Launch Potatos technical brand externally through speaking engagements, open source contributions, or publications Champion privacy-preserving personalization, responsible AI practices, and adaptive learning systems
COMPETENCIES Visionary Thinking: Defines the future state of ML infrastructure and personalization strategy. Balances deep technical rigor with a strong understanding of product impact. Architectural Excellence: Designs scalable, modular systems that support billions of predictions and enable rapid experimentation. Technical Influence: Drives decision-making and builds consensus across teams and stakeholders without direct authority. Expert-Level Execution: Translates research insights into production-ready solutions. Mentorship & Leadership: Coaches senior engineers and raises the technical bar for the organization. External Thought Leadership: Represents LP in the ML community and contributes to its reputation. Curious & Forward-Looking: Constantly explores new approaches to personalization and prototypes cutting-edge methodologies.
Total Compensation : Base salary is set according to market rates for the nearest major metro and varies based on Launch Potatos Levels Framework. Your compensation package includes a base salary, profit-sharing bonus, and competitive benefits. Launch Potato is a performance-driven company; future increases are based on company and personal performance. Equal Opportunity : We are committed to an inclusive, diverse workforce and an Equal Employment Opportunity company. We value diversity, equity, and inclusion. We do not discriminate based on race, religion, color, national origin, gender, sexual orientation, gender identity, age, disability, or other legally protected characteristics. How to apply : Want to accelerate your career? Apply now. Seniority level Director Employment type
Full-time Job function
Engineering and Information Technology Industries: Advertising Services
#J-18808-Ljbffr