Facebook is seeking Machine Learning Engineers to join our New Feeds engineering team. This team is focusing on helping every user on Facebook to discover interesting content by connecting them to the right topic and right pages. As one of the largest Machine Learning systems in the world, we are building end-to-end product like topic following and page connections. The ideal candidate will have industry experience working on a range of classification and optimization problems, deep learning, recommendation algorithms and content understanding e.g. post classification, entity extraction. The position will involve taking these skills and developing state-of-the-art ML algorithms to power those products.
* 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)
* MS degree in Computer Science or related quantitative field or Ph.D. degree in Computer Science or related quantitative field
5+ years of experience in one or more of the following areas: machine learning, recommendation systems, pattern recognition, data mining or artificial intelligence
Proven ability to translate insights into business recommendations
Experience with Hadoop/HBase/Pig or MapReduce/Sawzall/Bigtable
Knowledge developing and debugging in C/C++ and Java
Experience with scripting languages such as Perl, Python, PHP, and shell scripts
* Experience with filesystems, server architectures, and distributed systems
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