Principal ML Engineer, Recommendation Systems
Job Description
Launch Potato, a thriving digital media company, is seeking a Principal ML Engineer to lead their recommendation systems initiatives. With a reach of over 30M+ monthly visitors through prominent brands like FinanceBuzz and All About Cookies, this role offers an exciting opportunity to shape the future of personalization technology. As a remote-first company 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 large-scale machine learning systems, particularly in personalization and recommendation systems. 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 strategic thinking, requiring expertise in advanced ML techniques like deep learning, causal inference, and graph-based models.
This position offers the chance to work on cutting-edge ML solutions, mentor senior engineers, and represent Launch Potato in the broader technical community. You'll be instrumental in driving innovation while balancing technical excellence with business impact. The role requires someone who can think visually, execute expertly, and lead through influence while maintaining a curious, forward-looking approach to new technologies and methodologies.
If you're passionate about building scalable ML systems that serve billions of predictions and want to work in a fast-paced, remote-first environment where you can make a significant impact, this role presents an exceptional opportunity to advance your career while shaping the future of personalization technology.
Responsibilities For Principal ML Engineer, Recommendation Systems
- 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, Recommendation Systems
- 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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