Principal Machine Learning Engineer, Ad Performance
Job Description
Launch Potato, a thriving digital media company, is seeking a Principal Machine Learning Engineer to lead their Ad Performance initiatives. This role offers an exciting opportunity to shape the future of personalization technology at a company that reaches over 30M+ monthly visitors. As a remote-first organization headquartered in South Florida with team members across 15+ countries, Launch Potato offers a dynamic, high-performance culture focused on speed and measurable impact.
The ideal candidate will bring 10+ years of expertise in building and deploying large-scale machine learning systems, with a particular focus on personalization. You'll be responsible for establishing the technical vision for personalization across the company, solving complex ML challenges, and influencing strategy and architecture across teams. This role combines deep technical leadership with hands-on implementation of cutting-edge ML solutions.
Key responsibilities include defining company-wide personalization strategy, implementing advanced ML solutions using techniques like graph neural networks and causal models, and leading cross-functional initiatives that directly impact business KPIs. You'll also serve as a technical mentor to senior ML engineers and represent Launch Potato's technical excellence externally.
The position offers a competitive compensation package ranging from $160,000 to $250,000 per year, plus profit-sharing bonuses and benefits. This is an exceptional opportunity for a seasoned ML leader to make a significant impact in a fast-growing, data-driven organization while working with a global team of high-performers.
Responsibilities For Principal Machine Learning 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
- 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 Machine Learning 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
Benefits For Principal Machine Learning Engineer, Ad Performance
- Profit-sharing bonus
- Competitive benefits package
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