Launch Potato
Principal Machine Learning Engineer, Recommendation Systems
Launch Potato, Tulsa, Oklahoma, United States, 74145
Overview
Principal Machine Learning Engineer, Recommendation Systems at Launch Potato. Join to apply for this role at Launch Potato. Get AI-powered advice on this job and more exclusive features. About Launch Potato
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. Compensation
Base salary range: $160,000 to $250,000 per year, paid semi-monthly. Compensation includes a base salary, profit-sharing bonus, and competitive benefits. Future increases are based on company and personal performance. 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 company’s most complex ML challenges and influencing strategy, architecture, and innovation across teams. Responsibilities / Outcomes
Define company-wide personalization strategy and architecture, driving alignment across all ML teams Solve technical challenges such as cold start, real-time learning, and exploration/exploitation tradeoffs Design and implement advanced ML solutions using techniques such as graph neural networks, causal models, and bandit algorithms Create and enforce ML architecture patterns, design standards, and reusable infrastructure Lead multi-quarter, cross-functional initiatives that redefine how personalization impacts business KPIs Mentor senior ML engineers and scale the team capability Represent Launch Potato’s technical brand externally through speaking engagements, open source contributions, or publications Champion privacy-preserving personalization and responsible AI practices Qualifications / Competencies
Visionary Thinking: future state of ML infrastructure and personalization strategy Architectural Excellence: scalable, modular systems for billions of predictions Technical Influence: build consensus across teams Expert-Level Execution: production-ready, scalable solutions Mentorship & Leadership: coach engineers and raise technical standards External Thought Leadership: contribute to ML community Curious & Forward-Looking: prototype cutting-edge methodologies Total Compensation
Base salary is set according to market rates for the nearest major metro. Your package includes base salary, profit-sharing bonus, and benefits. This is a performance-driven environment with future increases tied to performance. Equal Opportunity
Launch Potato is committed to diversity, equity, and inclusion. We are proud to be an Equal Employment Opportunity company. We do not discriminate based on race, religion, color, national origin, gender, sexual orientation, gender identity, age, disability, or other legally protected characteristics.
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Principal Machine Learning Engineer, Recommendation Systems at Launch Potato. Join to apply for this role at Launch Potato. Get AI-powered advice on this job and more exclusive features. About Launch Potato
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. Compensation
Base salary range: $160,000 to $250,000 per year, paid semi-monthly. Compensation includes a base salary, profit-sharing bonus, and competitive benefits. Future increases are based on company and personal performance. 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 company’s most complex ML challenges and influencing strategy, architecture, and innovation across teams. Responsibilities / Outcomes
Define company-wide personalization strategy and architecture, driving alignment across all ML teams Solve technical challenges such as cold start, real-time learning, and exploration/exploitation tradeoffs Design and implement advanced ML solutions using techniques such as graph neural networks, causal models, and bandit algorithms Create and enforce ML architecture patterns, design standards, and reusable infrastructure Lead multi-quarter, cross-functional initiatives that redefine how personalization impacts business KPIs Mentor senior ML engineers and scale the team capability Represent Launch Potato’s technical brand externally through speaking engagements, open source contributions, or publications Champion privacy-preserving personalization and responsible AI practices Qualifications / Competencies
Visionary Thinking: future state of ML infrastructure and personalization strategy Architectural Excellence: scalable, modular systems for billions of predictions Technical Influence: build consensus across teams Expert-Level Execution: production-ready, scalable solutions Mentorship & Leadership: coach engineers and raise technical standards External Thought Leadership: contribute to ML community Curious & Forward-Looking: prototype cutting-edge methodologies Total Compensation
Base salary is set according to market rates for the nearest major metro. Your package includes base salary, profit-sharing bonus, and benefits. This is a performance-driven environment with future increases tied to performance. Equal Opportunity
Launch Potato is committed to diversity, equity, and inclusion. We are proud to be an Equal Employment Opportunity company. We do not discriminate based on race, religion, color, national origin, gender, sexual orientation, gender identity, age, disability, or other legally protected characteristics.
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