Lead ML Engineer at LP Careers Page

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Lead ML Engineer at LP Careers Page. . Location: LATAM (remote). WHO ARE WE?. . Launch Potato is a digital media company. with a portfolio of brands and technologies. As The Discovery and Conversion Company, Launch Potato's mission is to be the most innovative, tech-enabled media company connecting consumers to the world's leading brands.. . The company is headquartered in . vibrant downtown Delray Beach, Florida. , with a unique international team across over a dozen countries. Launch Potato's success comes from a diverse, energetic culture and a high-performing, entrepreneurial team. . 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 make your impact in a profitable, high-growth company? 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.