Principal ML Engineer, Ad Performance
Job Description
Launch Potato, a thriving digital media company reaching over 30M+ monthly visitors, is seeking a Principal ML Engineer to lead their ad performance initiatives. As The Discovery and Conversion Company, they connect consumers with leading brands through data-driven content and technology.
The role demands a seasoned ML expert with 10+ years of experience in designing and deploying large-scale machine learning systems, particularly in personalization. The ideal candidate will have demonstrated expertise through patents, publications, or significant product impact, and possess mastery across multiple ML domains including deep learning, causal inference, multi-armed bandits, and graph-based models.
As Principal ML Engineer, you'll establish the technical vision for personalization at Launch Potato, solving complex ML challenges and influencing strategy across teams. Key responsibilities include defining company-wide personalization architecture, implementing cutting-edge ML solutions, and leading cross-functional initiatives that directly impact business KPIs. You'll also serve as a technical mentor to senior ML engineers and represent the company's technical brand externally.
The position offers a competitive compensation package ranging from $160,000 to $250,000 per year, with additional profit-sharing bonuses. Based in South Florida but operating remote-first with a team spanning 15+ countries, Launch Potato has cultivated a high-growth, high-performance culture where speed, ownership, and measurable impact drive success.
This role presents an exceptional opportunity for a seasoned ML professional to make a significant impact in a rapidly growing digital media company. The position combines technical leadership, strategic thinking, and hands-on implementation while working with cutting-edge ML technologies and techniques. If you're passionate about pushing the boundaries of personalization technology and leading technical innovation, this role offers the perfect platform to accelerate your career while driving meaningful business outcomes.
Responsibilities For Principal ML Engineer, Ad Performance
- Define company-wide personalization strategy and architecture, driving alignment across all ML teams
- Solve critical technical challenges such as cold start, real-time learning, and exploration/exploitation tradeoffs
- Design and implement advanced ML solutions using cutting-edge techniques
- Create and enforce ML architecture patterns, design standards, and reusable infrastructure
- Lead multi-quarter, cross-functional initiatives that redefine how personalization impacts business KPIs
- Act as technical mentor to senior ML engineers
- Represent Launch Potato's technical brand externally
- Champion privacy-preserving personalization, responsible AI practices, and adaptive learning systems
Requirements For Principal ML Engineer, Ad Performance
- Expertise building ML systems with deep expertise in large-scale personalization
- Recognized industry expertise through patents, publications, or significant product impact
- Proven success architecting ML platforms serving billions of predictions in production
- Demonstrated track record of 0→1 innovation in personalization or recommender systems
- Mastery across multiple ML domains including deep learning, causal inference, multi-armed bandits, and graph-based models
- 10+ years designing, developing, and deploying large-scale machine learning systems
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