Lead ML Engineer - Remote Eligible

Lead ML 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.

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