Our team works on problems related to machine learning, deep learning, natural language processing, multi-arm bandit, optimization, information retrieval, and auction theory, among others. Our work entails building large-scale machine learning systems for ad matching, filtration, ranking, and multi objective optimization, and several other ML-driven business problems. You will design, implement, analyze, tune complex algorithms and ML systems and the supporting infrastructure for operating on la…
Responsibilities
We are a team of applied scientists working on machine learning components in the whole sponsored search stack. We're looking for sound understanding and insight into productionizing machine learning models in large-scale systems, an ability to pick up new technical areas, as well as a commitment to developing, delivering, and supporting algorithms in production.
Original Posting
This role is sourced from Microsoft. Apply on Microsoft careers page