Launch Potato
Principal Machine Learning Engineer, Recommendation Systems
Launch Potato, Columbia, South Carolina, United States
Overview
Principal Machine Learning Engineer, Recommendation Systems — Join Launch Potato Role: Principal Machine Learning Engineer, Recommendation Systems at Launch Potato. Get AI-powered advice on this job and more exclusive features. WHO ARE WE?
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. WHY JOIN US?
At Launch Potato, you’ll accelerate your career by owning outcomes, moving fast, and driving impact with a global team of high-performers. 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. 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 Potato’s technical brand externally through speaking engagements, open source contributions, or publications. Champion privacy-preserving personalization, responsible AI practices, and adaptive learning systems. Qualifications
Must have:
Expertis e 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 & Role Details
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. OUTCOMES: Define company-wide personalization strategy and architecture, drive alignment across ML teams; solve technical challenges; design and implement advanced ML solutions; create/enforce architecture patterns; lead cross-functional initiatives; mentor engineers; represent the company externally; champion responsible AI practices. Compensation Details
Total compensation: Base salary is aligned with market rates for the nearest major metro and varies based on Launch Potato’s Levels Framework. Package includes base salary, profit-sharing bonus, and benefits. Future increases are based on company and personal performance, not annual cost-of-living adjustments. Want to accelerate your career? Apply now! EEO Statement:
Launch Potato is committed to a diverse, inclusive team and culture. We are proud to be an Equal Employment Opportunity company. We value diversity, equity, and inclusion. We do not discriminate based on race, religion, color, national origin, gender (including pregnancy, childbirth, or related medical conditions), sexual orientation, gender identity, gender expression, age, protected veteran status, disability status, or other legally protected characteristics. Seniority level
Director Employment type
Full-time Job function
Engineering and Information Technology Advertising Services
#J-18808-Ljbffr
Principal Machine Learning Engineer, Recommendation Systems — Join Launch Potato Role: Principal Machine Learning Engineer, Recommendation Systems at Launch Potato. Get AI-powered advice on this job and more exclusive features. WHO ARE WE?
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. WHY JOIN US?
At Launch Potato, you’ll accelerate your career by owning outcomes, moving fast, and driving impact with a global team of high-performers. 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. 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 Potato’s technical brand externally through speaking engagements, open source contributions, or publications. Champion privacy-preserving personalization, responsible AI practices, and adaptive learning systems. Qualifications
Must have:
Expertis e 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 & Role Details
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. OUTCOMES: Define company-wide personalization strategy and architecture, drive alignment across ML teams; solve technical challenges; design and implement advanced ML solutions; create/enforce architecture patterns; lead cross-functional initiatives; mentor engineers; represent the company externally; champion responsible AI practices. Compensation Details
Total compensation: Base salary is aligned with market rates for the nearest major metro and varies based on Launch Potato’s Levels Framework. Package includes base salary, profit-sharing bonus, and benefits. Future increases are based on company and personal performance, not annual cost-of-living adjustments. Want to accelerate your career? Apply now! EEO Statement:
Launch Potato is committed to a diverse, inclusive team and culture. We are proud to be an Equal Employment Opportunity company. We value diversity, equity, and inclusion. We do not discriminate based on race, religion, color, national origin, gender (including pregnancy, childbirth, or related medical conditions), sexual orientation, gender identity, gender expression, age, protected veteran status, disability status, or other legally protected characteristics. Seniority level
Director Employment type
Full-time Job function
Engineering and Information Technology Advertising Services
#J-18808-Ljbffr