Software Engineer, Machine Learning
Facebook is seeking a machine learning engineer to join our engineering team in Menlo Park. The ideal candidate will have industry experience working on a range of classification and optimization problems, e.g. payment fraud, click-through rate prediction, click-fraud detection, search ranking, text/sentiment classification, collaborative filtering/recommendation, or spam detection. The position will involve taking these skills and applying them to some of the most exciting and massive social data and prediction problems that exist on the web.
Develop highly scalable classifiers and tools leveraging machine learning, data regression, and rules based models
Suggest, collect and synthesize requirements and create effective feature roadmap
Code deliverables in tandem with the engineering team
Adapt standard machine learning methods to best exploit modern parallel environments (e.g. distributed clusters, multicore SMP, and GPU)
B.S. Computer Science. M.S. or Ph.D. a plus
A minimum of 5 or more years experience in one or more of the following areas: Fraud prevention engineering, machine learning, large-scale data mining for analytics.
Proven ability to translate insights into business recommendations
Experience with Hadoop/Hbase/Pig or Mapreduce/Sawzall/Bigtable a plus
Expert knowledge developing and debugging in C/C++ and Java on *nix
Experience with scripting languages such as Perl, Python, PHP, and shell scripts
Experience with filesystems, server architectures, and distributed systems