Facebook Software Engineer, Search Ranking in Menlo Park, California
Facebook's mission is to give people the power to share, and make the world more open and connected. Through our growing family of apps and services, we're building a different kind of company that helps billions of people around the world connect and share what matters most to them. Whether we're creating new products or helping a small business expand its reach, people at Facebook are builders at heart. Our global teams are constantly iterating, solving problems, and working together to make the world more open and accessible. Connecting the world takes every one of us—and we're just getting started.
Facebook Search puts people and their stories at the center. It lets you tap into the global conversation about something that's happening in the world, and helps you find people’s stories and their perspectives. People use Facebook search over 1.5B times a day, searching over 1.5 billion people and trillion pieces of shared content, e.g. posts, photos, videos, and links. The goal of the search ranking/NLP team is to assist the users to complete their intents, and to provide the most relevant and personalized set of results for these intents and unlock this wealth of information that exists on Facebook. We develop ranking algorithms that are a three way optimization between the query, searcher, and the content. We are investing and growing in almost every area that generates signals and contributes to this optimization – query and intent understanding, natural language processing, deriving ranking features from Facebook graph, content and user engagement. We use state of the art machine learning algorithms to combine thousands of these features into the production ranking models to generate the relevant search results at scale.
Indexing and feature engineering for people, entities, posts, photos, videos and more
Trending topics detection and ranking.
Natural language processing for query and document understanding at Facebook scale.
Machine learning infrastructure and platform for search ranking.
Ranking quality evaluation and data analysis.
Large-scale backend services and product integration
MS in Computer Science or related technical field with 5+ years of applied ranking or machine learning experience, or PhD in Computer Science or related technical field
Background in Machine Learning
Programming experience in C, C++, Java or Python
Experience with Information Retrieval, Ranking Systems, Recommendation Systems or Artificial Intelligence
Knowledge of map-reduce/Hadoop
Knowledge of distributed systems
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