Principal Machine Learning Engineer, Recommendation Systems
Job Description
Launch Potato, a thriving digital media company reaching over 30M+ monthly visitors, is seeking a Principal Machine Learning Engineer to lead their recommendation systems initiatives. As The Discovery and Conversion Company, they connect consumers with leading brands through data-driven content and technology.
The role offers an exceptional opportunity for a seasoned ML expert to establish the technical vision for personalization at Launch Potato. With a base salary range of $160,000 to $250,000, this remote position comes with profit-sharing bonuses and competitive benefits. The ideal candidate will bring 10+ years of experience in designing and deploying large-scale machine learning systems, with deep expertise in personalization.
Key responsibilities include defining company-wide personalization strategy, solving complex technical challenges, and implementing cutting-edge ML solutions. You'll lead multi-quarter initiatives, mentor senior ML engineers, and represent Launch Potato's technical brand externally. The role requires mastery across multiple ML domains including deep learning, causal inference, and graph-based models.
Headquartered in South Florida with a remote-first team spanning over 15 countries, Launch Potato has built a high-growth, high-performance culture where speed, ownership, and measurable impact drive success. They operate major brands like FinanceBuzz, All About Cookies, and OnlyInYourState, providing a platform for significant technical innovation and impact.
This is an ideal opportunity for a technical leader who can balance deep technical rigor with strong product understanding, design scalable systems serving billions of predictions, and drive decision-making across teams. The role offers the chance to shape the future of personalization technology while working with a global team of high-performers in a remote-first environment.
Responsibilities For Principal Machine Learning 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 across teams
- 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 Machine Learning 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
Benefits For Principal Machine Learning Engineer, Recommendation Systems
- Profit-sharing bonus
- Competitive benefits
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