The requirements of MT candidate:
(1) Deep learning experience like LSTM, Tensorflow, RNN, CNN and other neural networks.
(2) Strong developing skills of Python.
(3) Strong working experience of AWS including EC2, EMR, and other deployed and developed experience.
(4) Background of SMT(Statistical Machine Translation) or NMT(Neural Machine Translation) will be preferred.
(5) Experience of word2vec, word alignments, or pos tagging will be preferred.
(6) Better with other NLP(Natural Language Processing) experience.

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先的知識產權信息服務(SaaS)提供商，基于專利大數據，
幫助分客戶析和了解最新技術發(fā)展趨勢并加速創(chuàng)新、獲取競爭對手情報、科學
進行市場布局以及實現知識產權價值最大化，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)質排名。