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Lead ML Engineer, Ad Performance at LP Careers Page. . Location: LATAM (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. . We turn audience attention into action through data, machine learning, and relentless optimization.. . Are you a Machine Learning Engineer with a passion for bridging technical expertise and business acumen? Do you thrive in building scalable, reliable systems that directly move revenue? If you’re eager to collaborate globally, face challenges head-on, and make substantial impact, we’re looking for you to join our dynamic team.. . In this role, you’ll work at the intersection of advertising algorithms, personalization, and optimization… building the ML software and infrastructure that drives ad performance and user engagement at scale.. . MUST HAVE. . You bring both the technical depth to design and deploy complex ML systems and the business intuition to know what actually moves KPIs. Specifically:. . . 7+ years of software development and ML engineering, including 3+ years focused on advertising systems. . Proven experience optimizing ad performance using both mature models and emerging ML technologies. . Expertise in one or more ML areas: Recommendation Systems, Advertising Algorithms, NLP, or CV. . Proficiency with Python, SQL, and modern ML frameworks (TensorFlow, PyTorch). . Familiarity with distributed data processing (Spark, Ray) and cloud infrastructure (AWS/GCP). . Strong analytical problem-solving skills with a proven track record of delivering measurable results. . Excellent communication, teamwork, and project management skills. . . YOUR ROLE. . Your mission: Elevate Launch Potato’s advertising performance by building scalable, production-ready ML systems that optimize revenue while enhancing user experience. You’ll collaborate across teams to design, deploy, and refine algorithms that improve ad targeting, relevance, and efficiency at global scale.. . OUTCOMES. . . Develop and scale advertising algorithms that optimize engagement and revenue simultaneously. . Apply cutting-edge ML approaches (e.g., reinforcement learning, deep learning for ranking) to improve ad performance. . Build scalable infrastructure to support real-time ad decisioning across millions of requests per day. . Conduct rigorous experiments (A/B and multivariate tests) to measure model impact on business KPIs. . Continuously improve ETL pipelines and monitoring systems to ensure reliable ad delivery. . Collaborate with global teams across product, data, and engineering to launch high-impact ad features. . Stay ahead of emerging technologies and integrate them into our ML stack when they create competitive advantage. . . COMPETENCIES. . . Impact-Oriented. : You align ML systems to business outcomes and measure what matters. . Technical Builder. : You write clean, production-ready code and architect scalable systems. . Collaborative. : You work seamlessly with global teams and communicate complex ideas clearly. . Resilient & Determined. : You don’t shy from challenges and drive projects through to impact. . Curious Innovator. : You keep pace with ML/AI trends and creatively apply them to advertising. . Analytical Problem-Solver. : You break down complex systems and find data-driven solutions. . .  . 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.