
¡Activa las notificaciones laborales por email!
Genera un currículum adaptado en cuestión de minutos
Consigue la entrevista y gana más. Más información
A leading technology company in Mexico, Ciudad de México, is looking for a Machine Learning Engineer to enhance ad performance through scalable ML systems. The role involves optimizing advertising algorithms and collaborating across global teams. Ideal candidates should have extensive ML engineering experience and a passion for maximizing business impact. The company promotes a dynamic and innovative culture, offering a diverse and inclusive workplace.
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.
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.
You bring both the technical depth to design and deploy complex ML systems and the business intuition to know what actually moves KPIs. Specifically:
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.
Want to accelerate your career? Apply now!
We are proud to be an Equal Employment Opportunity company. We value diversity, equity, and inclusion and 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, protected veteran status, disability, or other legally protected characteristics.