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A data-driven technology company is seeking a Machine Learning Engineer to optimize advertising performance through scalable systems. The role involves designing and deploying algorithms to enhance user experience and revenue. Candidates should have 7+ years in software and ML engineering, including experience with advertising systems and proficiency in Python and SQL. The company promotes 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.