Join to apply for the Lead ML Engineer role at Launch Potato
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Join to apply for the Lead ML Engineer role at Launch Potato
Overview
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.
Responsibilities
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
We’re committed to an equal employment opportunity culture. We value diversity 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.
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