Lead Machine Learning Engineer

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 RoleLead 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 DoLead a team of 3-5 ML engineers building personalization systemsArchitect multi-stage ranking systems (retrieval ? ranking ? re-ranking)Define technical roadmap aligned with business objectivesDrive improvements in model quality, system reliability, and development velocityEstablish best practices for model development and deploymentPartner with product, data science, and engineering teamsContribute hands-on to critical model development (50% coding)What We're Looking For7+ years in ML engineering, 2+ years leading technical teamsDeep expertise in large-scale personalization systemsExperience with modern ML architectures (two-tower, transformer-based, graph neural networks)Strong system design skills for ML infrastructureProven ability to mentor engineers and drive technical decisionsExperience managing stakeholder relationships and project deliveryBS / MS in Computer Science or equivalent experienceNice to HaveExperience in adtech, e-commerce, or content platformsPublished papers or significant ML contributionsExperience with multi-objective optimizationKnowledge of reinforcement learning for personalizationSince 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.

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