Launch Potato
Principal Machine Learning Engineer, Recommendation Systems
Launch Potato, Charlotte, North Carolina, United States, 28245
Overview
Principal Machine Learning Engineer, Recommendation Systems at Launch Potato. Headquartered in South Florida with a remote-first team, the company reaches 30M+ monthly visitors across brands such as FinanceBuzz, All About Cookies, and OnlyInYourState. Location: Charlotte, NC (remote-friendly). Compensation: $160,000 to $250,000 per year, paid semi-monthly. Responsibilities
Establish the technical vision for personalization at Launch Potato, solving the company’s most complex ML challenges and influencing strategy, architecture, and innovation across teams. Define company-wide personalization strategy and architecture, driving alignment across all ML teams. Design and implement advanced ML solutions using cutting-edge techniques (e.g., graph neural networks, causal models, bandit algorithms). Lead multi-quarter, cross-functional initiatives that redefine how personalization impacts business KPIs. Architect ML patterns, design standards, and reusable infrastructure across teams; enforce best practices. Act as technical mentor to senior ML engineers, guiding complex decision-making and scaling team capability. Represent Launch Potato’s technical brand externally through speaking engagements, open source contributions, or publications. Champion privacy-preserving personalization, responsible AI practices, and adaptive learning systems. Requirements
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. Experience and Roles
Your role: Establish the technical vision for personalization at Launch Potato, solving the company’s most complex ML challenges and influencing strategy, architecture, and innovation across teams. Qualifications & Competencies
Visionary Thinking: Defines the future state of ML infrastructure and personalization strategy, balancing technical rigor with product impact. Architectural Excellence: Designs scalable, modular systems that support billions of predictions and enable rapid experimentation. Technical Influence: Builds consensus across teams and stakeholders without direct authority. Expert-Level Execution: Translates research insights into production-ready solutions while maintaining velocity. Mentorship & Leadership: Coaches senior engineers and raises the technical bar for the organization. External Thought Leadership: Represents the company in the ML community and contributes to its reputation. Curious & Forward-Looking: Constantly explores new personalization approaches 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 Potato’s Levels Framework. Includes base salary, profit-sharing bonus, and benefits. Future increases are based on company and personal performance. EEO and Culture
Launch Potato is an Equal Employment Opportunity company. We are committed to diversity, equity, and inclusion and do not discriminate based on race, religion, color, national origin, gender (including pregnancy, childbirth, or related medical conditions), sexual orientation, gender identity or expression, age, veteran status, disability, or other legally protected characteristics.
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Principal Machine Learning Engineer, Recommendation Systems at Launch Potato. Headquartered in South Florida with a remote-first team, the company reaches 30M+ monthly visitors across brands such as FinanceBuzz, All About Cookies, and OnlyInYourState. Location: Charlotte, NC (remote-friendly). Compensation: $160,000 to $250,000 per year, paid semi-monthly. Responsibilities
Establish the technical vision for personalization at Launch Potato, solving the company’s most complex ML challenges and influencing strategy, architecture, and innovation across teams. Define company-wide personalization strategy and architecture, driving alignment across all ML teams. Design and implement advanced ML solutions using cutting-edge techniques (e.g., graph neural networks, causal models, bandit algorithms). Lead multi-quarter, cross-functional initiatives that redefine how personalization impacts business KPIs. Architect ML patterns, design standards, and reusable infrastructure across teams; enforce best practices. Act as technical mentor to senior ML engineers, guiding complex decision-making and scaling team capability. Represent Launch Potato’s technical brand externally through speaking engagements, open source contributions, or publications. Champion privacy-preserving personalization, responsible AI practices, and adaptive learning systems. Requirements
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. Experience and Roles
Your role: Establish the technical vision for personalization at Launch Potato, solving the company’s most complex ML challenges and influencing strategy, architecture, and innovation across teams. Qualifications & Competencies
Visionary Thinking: Defines the future state of ML infrastructure and personalization strategy, balancing technical rigor with product impact. Architectural Excellence: Designs scalable, modular systems that support billions of predictions and enable rapid experimentation. Technical Influence: Builds consensus across teams and stakeholders without direct authority. Expert-Level Execution: Translates research insights into production-ready solutions while maintaining velocity. Mentorship & Leadership: Coaches senior engineers and raises the technical bar for the organization. External Thought Leadership: Represents the company in the ML community and contributes to its reputation. Curious & Forward-Looking: Constantly explores new personalization approaches 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 Potato’s Levels Framework. Includes base salary, profit-sharing bonus, and benefits. Future increases are based on company and personal performance. EEO and Culture
Launch Potato is an Equal Employment Opportunity company. We are committed to diversity, equity, and inclusion and do not discriminate based on race, religion, color, national origin, gender (including pregnancy, childbirth, or related medical conditions), sexual orientation, gender identity or expression, age, veteran status, disability, or other legally protected characteristics.
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