Launch Potato
Principal Machine Learning Engineer, Ad Performance
Launch Potato, Denver, Colorado, United States, 80285
Overview
Principal Machine Learning Engineer, Ad Performance — 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. Total Compensation:
Base salary is $160,000 to $250,000 per year, paid semi-monthly. Compensation includes base salary, profit-sharing bonus, and competitive benefits. Future increases are based on company and personal performance. 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. Lead multi-quarter, cross-functional initiatives that redefine how personalization impacts business KPIs. Solve critical 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 across teams. 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: 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 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, balancing rigor with product impact. Architectural Excellence: Designs scalable, modular systems supporting billions of predictions and rapid experimentation. Technical Influence: Drives decision-making and 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: Explores new personalization approaches and prototypes cutting-edge methodologies. About the Company and Equal Opportunity
Launch Potato is a diverse, inclusive workplace and an Equal Employment Opportunity employer. We do not discriminate based on race, religion, color, national origin, gender (including pregnancy and related conditions), sexual orientation, gender identity or expression, age, disability, or other protected characteristics.
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Principal Machine Learning Engineer, Ad Performance — 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. Total Compensation:
Base salary is $160,000 to $250,000 per year, paid semi-monthly. Compensation includes base salary, profit-sharing bonus, and competitive benefits. Future increases are based on company and personal performance. 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. Lead multi-quarter, cross-functional initiatives that redefine how personalization impacts business KPIs. Solve critical 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 across teams. 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: 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 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, balancing rigor with product impact. Architectural Excellence: Designs scalable, modular systems supporting billions of predictions and rapid experimentation. Technical Influence: Drives decision-making and 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: Explores new personalization approaches and prototypes cutting-edge methodologies. About the Company and Equal Opportunity
Launch Potato is a diverse, inclusive workplace and an Equal Employment Opportunity employer. We do not discriminate based on race, religion, color, national origin, gender (including pregnancy and related conditions), sexual orientation, gender identity or expression, age, disability, or other protected characteristics.
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