Senior ML Engineer Recommendation Systems

@ Launch Potato

Overview

Launch Potato is a profitable digital media company reaching 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 using data-driven content and technology.

Headquartered in South Florida with a remote-first team spanning over 15 countries, we foster a high-growth, high-performance culture where speed, ownership, and measurable impact drive success.

About the Role

The Senior ML Engineer Recommendation Systems will build the personalization engine behind our portfolio of brands. You will design, deploy, and scale ML systems serving 100M+ predictions daily and directly contribute to engagement, retention, and revenue growth.

Key Responsibilities

• Build and deploy ML models for real-time personalization.
• Enhance data processing pipelines using Spark, Beam, or Dask.
• Design ranking algorithms balancing relevance, diversity, and revenue.
• Run statistically rigorous A/B tests and monitor model performance.
• Collaborate with product, engineering, and analytics teams.

Required Skills & Experience

• 5+ years of production ML systems experience.
• Experience deploying systems with 100M+ daily predictions.
• Expertise in ranking algorithms such as collaborative filtering and deep learning.
• Proficiency in Python, TensorFlow or PyTorch, SQL, and modern data warehouses.
• Familiarity with distributed computing and LLM/AI Agent frameworks.

Outcomes and Impact

Your work will drive business growth through enhanced personalization impacting millions of user journeys and key business KPIs.

Key skills/competency

• Machine Learning
• Recommendation Systems
• Personalization
• Ranking Algorithms
• Python
• TensorFlow
• Data Pipelines
• A/B Testing
• Distributed Computing
• Cloud Data Warehouses