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. 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 spanning 15 countries, Launch Potato combines high-growth potential with work flexibility.
The ideal candidate will bring 10+ years of expertise in building large-scale machine learning systems, with a particular focus on personalization and recommender systems. You'll be responsible for establishing the technical vision for personalization across the company, solving complex ML challenges, and driving innovation in areas like real-time learning, cold start problems, and exploration/exploitation optimization.
This position offers a competitive compensation package ranging from $160,000 to $250,000 per year, with additional profit-sharing bonuses. You'll work in a performance-driven culture where your impact directly influences your growth potential. The role combines technical leadership with hands-on implementation, requiring expertise in deep learning, causal inference, multi-armed bandits, and graph-based models.
As Principal ML Engineer, you'll not only architect systems serving billions of predictions but also mentor senior engineers, contribute to the ML community, and help establish Launch Potato as a leader in ML innovation. The position offers a unique blend of technical challenges, leadership opportunities, and the chance to make a significant impact on a rapidly growing digital media platform.
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
Benefits For Principal ML Engineer, Ad Performance
- Profit-sharing bonus
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