Principal Machine Learning Engineer, Ad Performance

OverviewAs 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. Must HaveExpertise building ML systems with deep expertise in large-scale personalizationRecognized industry expertise through patents, publications, or significant product impactProven success architecting ML platforms serving billions of predictions in productionDemonstrated track record of 0→1 innovation in personalization or recommender systemsMastery across multiple ML domains including deep learning, causal inference, multi-armed bandits, and graph-based models Experience10+ years designing, developing, and deploying large-scale machine learning systems with a focus on personalization Your RoleEstablish the technical vision for personalization at Launch Potato, solving the company’s most complex ML challenges and influencing strategy, architecture, and innovation across teams. OutcomesDefine company-wide personalization strategy and architecture, driving alignment across all ML teamsSolve critical technical challenges such as cold start, real-time learning, and exploration/exploitation tradeoffsDesign 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 teamsLead multi-quarter, cross-functional initiatives that redefine how personalization impacts business KPIsAct as technical mentor to senior ML engineers, guiding complex decision-making and scaling team capabilityRepresent Launch Potato’s technical brand externally through speaking engagements, open source contributions, or publicationsChampion privacy-preserving personalization, responsible AI practices, and adaptive learning systems CompetenciesVisionary Thinking: Defines the future state of ML infrastructure and personalization strategy. Balances deep technical rigor with a strong understanding of product impact.Architectural Excellence: Designs scalable, modular systems that support billions of predictions and enable rapid experimentation. Sets high standards for maintainability and performance.Technical Influence: Drives decision-making and builds consensus across teams and stakeholders without direct authority. Provides trusted guidance in ambiguous situations.Expert-Level Execution: Navigates deep technical complexity while maintaining execution velocity. Translates research insights into production-ready solutions.Mentorship & Leadership: Coaches senior engineers, facilitates technical reviews, and raises the technical bar for the entire organization.External Thought Leadership: Represents LP in the ML community and contributes to growing its reputation as a leader in ML innovation.Curious & Forward-Looking: Constantly explores new approaches to personalization and actively prototypes cutting-edge methodologies. Want to accelerate your career? Apply now Since day one, we've been committed to having a diverse, inclusive team and culture. We are proud to be an Equal Employment Opportunity company. We value diversity, equity, and inclusion. #J-18808-Ljbffr