Apple’s Natural Language Processing Group is responsible for a wide range of text-driven technologies, including auto-correction, Chinese & Japanese input, tokenization, tagging and other solutions that are at the intersection of machine learning and NLP. We deliver intelligent and highly performant technologies driven by various linguistic resources and large scale natural language text data. We are looking for a passionate computational linguist to build tools and pipelines to help create and improve our language data to enable better machine learning models and user experiences on all Apple platforms.
The Natural Language Processing group is looking for a computational linguist to design and develop tools and infrastructures for building structured lexical data, doing linguistic analysis, and help with statistical modeling and harness the potential of our big data by applying big data tools, such as Hadoop or Spark to large quantities of textual data. You will be a key member of a team that is responsible for delivering the natural language intelligence behind Chinese and Japanese keyboard input on Apple’s platforms, and will be working closely with engineers from a number of other teams at Apple. The ideal candidate has experience and passion with language data and the ability to help create, categorize, audit, and improve the data. The ideal candidate should also be a team player who thrives in a fast paced environment with rapidly changing priorities.
BS in Computational Linguistics, Computer Science or an equivalent field
Strong programming, debugging, scripting skills.
Proficiency in Python.
Good knowledge of basic CS algorithms and data structures, including time and space complexity analysis, optimization, etc.
Excellent organization and communication skills.
Linguistic knowledge (morphology, syntax, semantics) and fluency in Chinese or Japanese.
Experience In NLP Is Highly Preferred.
Prior experience in developing scalable distributed systems with Spark and Hadoop ecosystem is a plus.
Industrial experience applying machine learning techniques to NLP problems that involve large-scale data
How to apply:
Please mention NLP People as a source when applying
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