
Principal Machine Learning Engineer, Recommendation Systems at Launch Potato. . Location: Mississauga, Canada (remote). WHO ARE WE?. . 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.. . 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 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.. . OUTCOMES. . . 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 Potato’s technical brand externally through speaking engagements, open source contributions, or publications. . Champion privacy-preserving personalization, responsible AI practices, and adaptive learning systems. . . COMPETENCIES. . . Visionary 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. . . 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 applicable legally protected characteristics.