Launch Potato
Principal Machine Learning Engineer, Ad Performance
Launch Potato, Colorado Springs, Colorado, United States, 80509
Principal Machine Learning Engineer, Ad Performance
Join to apply for the Principal Machine Learning Engineer, Ad Performance role at Launch Potato. Overview
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 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. BASE SALARY: $160,000 to $250,000 per year, paid semi-monthly. Responsibilities
Establish the technical vision for personalization at Launch Potato, solving the companys 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 Potatos technical brand externally through speaking engagements, open source contributions, or publications. Champion privacy-preserving personalization, responsible AI practices, and adaptive learning systems. Qualifications
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. Competencies
Visionary Thinking: Defines the future state of ML infrastructure and personalization strategy with product impact in mind. 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. 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 LP in the ML community and contributes to its reputation. Curious & Forward-Looking: Continuously explores new personalization approaches and prototypes cutting-edge methodologies. Compensation & Benefits
Total compensation includes base salary, profit-sharing bonus, and competitive benefits. Future increases are based on company and personal performance. Equality & Compliance
Launch Potato is 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, or other legally protected characteristics. Job Details
Seniority level: Director Employment type: Full-time Job function: Engineering and Information Technology Industries: Advertising Services We do not include any other job listings in this description. #J-18808-Ljbffr
Join to apply for the Principal Machine Learning Engineer, Ad Performance role at Launch Potato. Overview
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 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. BASE SALARY: $160,000 to $250,000 per year, paid semi-monthly. Responsibilities
Establish the technical vision for personalization at Launch Potato, solving the companys 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 Potatos technical brand externally through speaking engagements, open source contributions, or publications. Champion privacy-preserving personalization, responsible AI practices, and adaptive learning systems. Qualifications
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. Competencies
Visionary Thinking: Defines the future state of ML infrastructure and personalization strategy with product impact in mind. 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. 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 LP in the ML community and contributes to its reputation. Curious & Forward-Looking: Continuously explores new personalization approaches and prototypes cutting-edge methodologies. Compensation & Benefits
Total compensation includes base salary, profit-sharing bonus, and competitive benefits. Future increases are based on company and personal performance. Equality & Compliance
Launch Potato is 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, or other legally protected characteristics. Job Details
Seniority level: Director Employment type: Full-time Job function: Engineering and Information Technology Industries: Advertising Services We do not include any other job listings in this description. #J-18808-Ljbffr