
¡Activa las notificaciones laborales por email!
Genera un currículum adaptado en cuestión de minutos
Consigue la entrevista y gana más. Más información
A digital media company is seeking a Machine Learning Engineer to enhance ad performance through scalable ML systems. You will collaborate with global teams to build and optimize algorithms, ensuring high engagement and revenue. Candidates should have 5+ years in software development and ML, with expertise in ad systems, and strong skills in Python and SQL. Join a fast-paced and inclusive team to drive measurable impact in the tech landscape.
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.
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!
Since day one, we are 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.