Rarefied talent in big data technology and analytics

Software Engineer, Machine Learning

Facebook

Job Description

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.

Responsibilities

  • 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)

Requirements

  • 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

Interested in this position?
Job Location
1 Hacker Way
Menlo Park, CA 94025
Company Website
Additional Job Details
Employment Type:
Full Time
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