Principal ML Engineer, Ad Performance
Job Description
Launch Potato, a thriving digital media company, is seeking a Principal ML Engineer to lead their ad performance initiatives. With a reach of over 30M+ monthly visitors through prominent brands like FinanceBuzz and All About Cookies, this role offers an opportunity to make significant impact. As the technical visionary for personalization, you'll architect ML systems serving billions of predictions, implement cutting-edge solutions, and drive innovation across teams. The position requires deep expertise in large-scale personalization, proven success with ML platforms, and mastery of various ML domains including deep learning and causal inference. Based in Quebec, Canada with remote work flexibility, you'll join a high-performance culture spanning 15+ countries. This role combines technical leadership, mentorship, and the chance to shape the future of personalization technology while representing Launch Potato in the broader ML community. The ideal candidate brings 10+ years of experience and a track record of transformative innovation in personalization systems.
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
- 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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