Machine Learning Engineer (Recommendation Systems) - Remote

Overview

As a Machine Learning Engineer at Launch Potato, you will be responsible for building the personalization engine that powers real-time recommendations across millions of user journeys, impacting engagement, retention, and revenue.

In Short

• Build and scale ML systems for real-time recommendations
• Design ranking algorithms for personalization
• Deploy models serving 100M+ predictions daily
• Optimize data processing pipelines
• Enhance user experience through ML-powered features
• Collaborate with product, engineering, and analytics teams
• Run A/B tests to measure business impact
• Continuously improve model performance post-deployment

Requirements

• 5+ years of experience in building production ML systems
• Strong background in ranking algorithms
• Proficient in Python and ML frameworks
• Experience with SQL and data warehouses
• Familiarity with distributed computing frameworks
• Track record of improving business KPIs
• Experience with A/B testing platforms

Benefits

• Accelerate your career in a high-performance culture
• Work with a global team of high-performers
• Opportunity to impact millions of users
• Remote-first work environment
• Diverse and inclusive company culture