Lead Machine Learning Engineer, Recommendation Systems - Remote

Overview

Launch Potato is a profitable digital media company that reaches over 30M+ monthly visitors through brands such as FinanceBuzz, All About Cookies, and OnlyInYourState. As The Discovery and Conversion Company, our mission is to connect consumers with the world’s leading brands through data-driven content and technology. Headquartered in South Florida with a remote-first team spanning over 15 countries, we’ve built a high-growth, high-performance culture where speed, ownership, and measurable impact drive success.

In Short

• Hiring a Machine Learning Engineer (Recommendation Systems)
• Build the personalization engine for our portfolio of brands
• Design, deploy, and scale ML systems for real-time recommendations
• Work on systems serving 100M+ predictions daily
• Impact engagement, retention, and revenue at scale
• Own modeling, feature engineering, data pipelines, and experimentation
• Drive business growth through optimized recommendation systems
• Enhance data processing pipelines for efficiency and reliability
• Collaborate with product, engineering, and analytics teams
• Implement monitoring systems for model reliability

Requirements

• 7+ years building and scaling production ML systems
• Experience with ML systems serving 100M+ predictions daily
• Strong background in ranking algorithms
• Proficiency with Python and ML frameworks
• Skilled with SQL and modern data warehouses
• Familiarity with distributed computing
• Track record of improving business KPIs via ML
• Experience with A/B testing platforms

Benefits

• Accelerate your career by owning outcomes
• Work with a global team of high-performers
• High-growth, high-performance culture
• Opportunity to make a measurable impact
• Diverse and inclusive team environment