Machine Learning Engineer - Remote

Overview

As a Machine Learning Engineer at Launch Potato, you will build systems that drive millions in revenue through intelligent personalization and optimization, directly impacting business metrics.

In Short

• Build and deploy ML models serving 100M+ predictions daily
• Develop ranking algorithms that balance relevance, diversity, and revenue
• Implement real-time personalization features with <50ms latency requirements
• Run A/B tests and analyze model performance against business KPIs
• Optimize models for production (latency, throughput, cost)
• Collaborate with product teams to identify new personalization opportunities

Requirements

• 5+ years building production ML systems
• Strong experience with ranking algorithms (collaborative filtering, deep learning, learning-to-rank)
• Proficiency in Python and ML frameworks (TensorFlow/PyTorch)
• Experience with distributed computing (Spark, Ray)
• Track record of shipping models that improve business metrics
• BS/MS in Computer Science, Machine Learning, or related field

Benefits

• Accelerate your career by owning outcomes
• Work in a remote-first team spanning over 15 countries
• Be part of a high-growth, high-performance culture
• Opportunity to work with a global team of high-performers