Position Summary
As an NLP R&D Engineer you will have the key responsibility including but not limited to of researching and applying the latest trends in Natural Language Processing to our big data sets comprising of 120+ million patent documents and more. Responsibilities include planning and management of ETL statistical & textual analysis pipeline while creating meaningful features in our different products for our clients and stakeholders. The successful candidate also have a chance to lead and build up the team capabilities within PatSnap.
Key Qualifications
The successful candidate should have significant experience in the following areas:

? Master or Ph.D, research direction is Natural Language Processing
? Domain Knowledge in Natural Language Processing / Machine Learning / Data Mining
? Deep understanding in at least 3 of the following: Sentiment Analysis, Entity Extraction, Natural Language Understanding
? Strong knowledge on deep learning for NLP
? Experience with Word Disambiguation and Word Embeddings
? Experience with open-source NLP toolkits such as CoreNLP, OpenNLP, NLTK, Gensim, LingPipe, Mallet, etc.
? Strong understanding of text pre-processing and normalization techniques, such as tokenization, POS tagging and parsing and how they work at a low level.
? Proficiency with common used programming languages such as C, C++, Python, Java and R
? Expertise in producing, processing, evaluating and utilizing training data
? Knowledge of Software Engineering best practices and standards
? Experience working with engineers and product managers
? Ability to present research progress to senior management


The successful candidate will also have the following attributes:

? Growing & Open Mindset
? Leadership, ownership and good work ethics
? Discipline and an attention to details

Proficiency in both English and Chinese a plus
Education

Here at PatSnap we believe that academic credentials are as valuable as action focused experience. Show us what you can do.
PatSnap is an equal opportunity employer.

PatSnap is a disruptive market leading provider of intellectual property
analytics, for analysing technology trends, accelerating innovation, market
planning, competitor intelligence and maximising returns on existing and new
IP assets. It is used by over 3000 organisations globally including Nasa, GE,
Lego, Vodafone, Ferrari, Siemens, Xiaomi and China Mobile. The company is
backed by world class venture capital firms such as Sequoia, Summit
Partners, Shunwei and Vertex Ventures. With an impressive revenue growth
rate of 1078% from 2014 to 2016, PatSnap was ranked 44 on “Deloitte
Technology Fast 500”.
智慧芽是一家全球領(lǐng)先的知識產(chǎn)權(quán)信息服務(wù)(SaaS)提供商，基于專利大數(shù)據(jù)，
幫助分客戶析和了解最新技術(shù)發(fā)展趨勢并加速創(chuàng)新、獲取競爭對手情報、科學(xué)
進行市場布局以及實現(xiàn)知識產(chǎn)權(quán)價值最大化，提高企業(yè)核心競爭力。目前全球
已有超過3000 多機構(gòu)和企業(yè)成為智慧芽的客戶，如美國宇航局、通用、樂高、
沃達豐、法拉利、西門子、小米、中國移動等。智慧芽得到了包括紅杉、頂峰
投資、順為、淡馬錫祥峰基金等世界頂級風險投資機構(gòu)的青睞和投資。2014～
2016 年，智慧芽的營業(yè)收入以超過1078%的增長率快速發(fā)展，被評為德勤亞太
區(qū)高科技高成長500 強企業(yè)，并獲得第44 位的優(yōu)質(zhì)排名。