Launch Potato
Principal ML Engineer, Recommendation Systems
Launch Potato, Columbus, Ohio, United States, 43224
Overview
Principal ML Engineer, Recommendation Systems at
Launch Potato . This role focuses on establishing the technical vision for personalization and leading ML initiatives across teams to improve recommender systems and related personalization capabilities. 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
10+ years designing, developing, and deploying large-scale machine learning systems with a focus on personalization. Expertise building ML systems with deep expertise in large-scale personalization; recognized industry impact 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. Compensation
Base compensation ranges from $160,000 to $250,000 per year, paid semi-monthly. Total compensation includes base salary, profit-sharing bonus, and benefits. Future increases are based on company and personal performance. About Launch Potato
Launch Potato is a profitable digital media company reaching over 30M+ monthly visitors via brands such as FinanceBuzz, All About Cookies, and OnlyInYourState. We connect consumers with world-leading brands through data-driven content and technology. Headquartered in South Florida with a remote-first team spanning over 15 countries. Why Join Us
You’ll accelerate your career by owning outcomes, moving fast, and driving impact with a global team of high-performers. We are an Equal Employment Opportunity employer. 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, veteran status, disability status, or other legally protected characteristics.
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Principal ML Engineer, Recommendation Systems at
Launch Potato . This role focuses on establishing the technical vision for personalization and leading ML initiatives across teams to improve recommender systems and related personalization capabilities. 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
10+ years designing, developing, and deploying large-scale machine learning systems with a focus on personalization. Expertise building ML systems with deep expertise in large-scale personalization; recognized industry impact 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. Compensation
Base compensation ranges from $160,000 to $250,000 per year, paid semi-monthly. Total compensation includes base salary, profit-sharing bonus, and benefits. Future increases are based on company and personal performance. About Launch Potato
Launch Potato is a profitable digital media company reaching over 30M+ monthly visitors via brands such as FinanceBuzz, All About Cookies, and OnlyInYourState. We connect consumers with world-leading brands through data-driven content and technology. Headquartered in South Florida with a remote-first team spanning over 15 countries. Why Join Us
You’ll accelerate your career by owning outcomes, moving fast, and driving impact with a global team of high-performers. We are an Equal Employment Opportunity employer. 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, veteran status, disability status, or other legally protected characteristics.
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