Sobre

• 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.
• 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 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.