Senior Machine Learning Engineer

Build a first-class machine learning platform from the ground up, managing the entire model lifecycle including feature engineering, training, versioning, deployment, and online serving. Apply expertise to identify and generate features for multiple use cases while developing algorithms using decision trees, neural networks, and Bayesian analysis to improve product performance. Handle low-level systems debugging and performance optimization on large production clusters, ensuring real-time evaluation meets low latency constraints. Collaborate with product managers, data scientists, and engineers to deliver impactful solutions for ad relevance, yield optimization, and demographic inference. Requires 5 years of applied machine learning experience and proficiency in Spark, Python, or Java.