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位置: 吳俊逸 > NLP
Job Title: NLP Engineer
by 吳俊逸 2018-04-05 08:47:43, 回應(0), 人氣(123)

Location:             San Jose CA
Duration:             6+ Months Contract (Possibilities of Conversion in FTE)

We are looking for senior resources with AI deep learning and advanced machine learning technologies, who has working experience to apply it to real world applications,

especially in Smart Home devices, Industrial Manufacturing, Robotics, IoT, IIOT etc. We have multiple openings, ideal candidate will take a role involving in one or more the following duties and responsibilities:


Duties and Responsibilities

·         Develop large-scale, effective and measurable AI/machine learning solutions in Natural Language Processing for applications on smart home appliances Improve accuracy and intelligence of our system by applying advanced statistical techniques


Required:

·         High proficiency and expert level knowledge in Java, and familiar with at least one scripting language, i.e. Python.

·         Experience with Natural Language Processing (NLP) techniques, such as speech tagging, word segmentation, named entity recognition, classification and clustering

·         Closely work with AI engineers and product managers on our natural language dialog and Knowledge Graph systems and products

·         Familiar with Java IDEs such as Eclipse or IntelliJ, Java build manager such as Maven or Gradle

·         Experience with test-driven development and good at writing high quality unit tests

·         Familiar with deep learning frameworks, such as TensorFlow, Torch, Caffe, Cuda- Convnet, PaddlePaddle

·         Self-motivated, logical thinker with good business understanding and Communication skills


Preferred:

·         Experience with machine learning and deep learning algorithms, such as CRF, SVM and LSTM

·         Experience with developing question answering or dialog systems (NLU/NLG)

·         Experience with and good knowledge of Unicode for language processing

·         Experience with Knowledge Graph and Knowledge Base

·         Experience with Hadoop, Spark, Scala

·         Advanced degree in Computer Science, Statistics, Linguistics or related field of study or equivalent experience