Principal Machine Learning Engineer, Ad Performance As The Discovery and Conversion Company, our mission is to connect consumers with the world\u2019s leading brands through data-driven content and technology. Headquartered in South Florida with a remote-first team spanning over 15 countries, we\u2019ve built a high-growth, high-performance culture where speed, ownership, and measurable impact drive success. Overview We are seeking a Principal ML Engineer to establish the technical vision for personalization at Launch Potato, solving the company\u2019s most complex ML challenges and influencing strategy, architecture, and innovation across teams. Responsibilities Establish the technical vision for personalization and drive company-wide strategy and architecture across 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\u2019s 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. Must have: Recognized industry expertise through patents, publications, or significant product impact. Must have: Proven success architecting ML platforms serving billions of predictions in production. Must have: Demonstrated track record of 0\u20131 innovation in personalization or recommender systems. Must have: 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 & Benefits Total compensation : Base salary is set according to market rates for the nearest major metro and varies based on Launch Potato\u2019s Levels Framework. Your compensation package includes a base salary, profit-sharing bonus, and competitive benefits. Launch Potato is a performance-driven company, which means once you are hired, future increases will be based on company and personal performance, not annual cost-of-living adjustments. Culture & Inclusion We are 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. 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, status as a protected veteran, status as an individual with a disability, or other legally protected characteristics.

#J-18808-Ljbffr