Jeff Dean

Experience

1. Chief Scientist, Google Deepmind and Google Research

   Google

   Aug 1999 — Present

   Co-designer and co-implementor of five successive generations of Google’s crawling indexing and query retrieval systems for covering 100X to growth in number of documents searched, number of queries handled per second, and frequency of updates to the system. Co-designer and implementor of the initial version of Google\'s advertising serving system. Co-designer and implementor of MapReduce, a system for simplifying the development of large-scale data processing applications on large clusters of machines. Co-designer and implementor of BigTable, a large-scale semi-structured storage system used underneath approximately 50 Google products. Designer and developer of the initial version of Google\'s AdSense for Content product involving both the production serving system as well as work on developing and improving the quality of ad selection algorithms based on the contents of pages. Co-designer and implementor of many aspects of the production system design for Google Translate, a statistical machine translation system, especially a system that provides distributed high-speed access to very large language models (too large to fit in memory on a single machine). Implemented many low-level libraries used throughout Google’s code base. Developer of several internal tools for improving productivity in Google’s software development environment. Designed and implemented initial production serving system for Google News. Co-designer and implementor of Spanner, a large-scale globally distributed storage system used for several important products at Google. Co-designer and implementor of system for large-scale distributed neural network training. System has been used to make signficant improvements in image understanding, speech recognition and natural language processing applications. Co-founder and leader of Google\'s deep learning research and engineering team. Substantial involvement in Google’s engineering hiring process.

Skills

• Web Services
• Software Development
• Mapreduce
• Artificial Intelligence
• Software Engineering
• Parallel Computing
• Machine Learning
• Recommender Systems
• Scalability
• Text Mining
• Big Data
• Data Mining
• C++
• Programming
• Algorithms
• Linux
• Computer Science
• Distributed Systems
• Software Design
• Information Retrieval
• Cloud Computing
• Databases