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A digital media company in Veracruz, Mexico is seeking a dedicated Machine Learning Engineering Lead to guide a team of engineers in creating advanced personalization systems. The successful candidate will have over 7 years of experience in ML engineering and 2 years in a leadership role, with a strong background in system design and mentoring. This position emphasizes both hands-on technical skills and team leadership to drive business impact and ensure quality. Competitive opportunities for growth are available.
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.
At Launch Potato, you'll accelerate your career by owning outcomes, moving fast, and driving impact with a global team of high-performers.
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.
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).
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?
Since day one, we've been committed to having a diverse, inclusive team and culture.
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.