Machine Learning Engineer - Recommendation Systems

This role focuses on designing and developing machine learning and deep learning models for high-impact consumer-facing applications such as content personalization and product recommendations. You will work with a broad spectrum of state-of-the-art ML technologies in the area of recommendation systems. You will create metrics and design A/B test plans to evaluate model performance offline and online, communicating impacts to diverse stakeholders. Collaborate with cross-functional teams across architecture, design, and code implementation to deliver scalable solutions. Analyze and extract insights from large, dynamic structured and unstructured data using modern big data technologies, and produce reusable Python code with peer reviews. The role emphasizes production-readiness, performance, and continuous improvement in an agile environment.