Launch Potato is a digital media company with a portfolio of brands and technologies. As The Discovery and Conversion Company, Launch Potato is a leading connector of advertisers to customers at all parts of the consumer journey, from awareness to consideration to purchase. The company is headquartered in vibrant downtown Delray Beach, Florida, with a unique international team across over a dozen countries. As a result, the company is always looking for like-minded teammates and partners. You'll develop and deploy models that understand user preferences, optimize content discovery, and personalize experiences at scale. What You'll Do Build and deploy ML models serving 100M+ predictions daily Develop ranking algorithms that balance relevance, diversity,



and revenue Implement real-time personalization features with 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 What We're Looking For 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 Want to make your impact in a profitable, high-growth company?

📌 Virtual Senior Machine Learning Engineer (Naucalpan de Juárez)
🏢 Launch Potato
📍 Naucalpan de Juárez