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Lead ML Engineer at Launch Potato. . Location: Toronto, 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.. YOUR ROLE. . Lead a team of ML engineers building next-generation personalization and optimization systems. You'll balance hands-on technical work with team leadership, driving both technical excellence and business impact. This role requires someone who can architect complex systems while mentoring others and collaborating across organizations.. . What You'll Do. . . Lead a team of 3-5 ML engineers building personalization systems. . Architect multi-stage ranking systems (retrieval → ranking → re-ranking). . Define technical roadmap aligned with business objectives. . Drive improvements in model quality, system reliability, and development velocity. . Establish best practices for model development and deployment. . Partner with product, data science, and engineering teams. . Contribute hands-on to critical model development (50% coding). . . What We're Looking For. . . 7+ years in ML engineering, 2+ years leading technical teams. . Deep expertise in large-scale personalization systems. . Experience with modern ML architectures (two-tower, transformer-based, graph neural networks). . Strong system design skills for ML infrastructure. . Proven ability to mentor engineers and drive technical decisions. . Experience managing stakeholder relationships and project delivery. . BS/MS in Computer Science or equivalent experience. . . Nice to Have. . . Experience in adtech, e-commerce, or content platforms. . Published papers or significant ML contributions. . Experience with multi-objective optimization. . Knowledge of reinforcement learning for personalization. . 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.