Natural Language Processing (NLP) Research Engineer

Key Skills

Apache Hadoop, C Programming, C++, Data science techniques, Java Programming, Machine learning techniques, MapReduce, Python Programming, PyTorch, R Programming, Scala Programming, SQL, TensorFlow

Job Description

Why Work at Lenovo

• Here at Lenovo, we believe in smarter technology for all, so we spend our time building a society that’s brighter and more inclusive. And we go big. No, not big—huge. 
• We’re a US$60 billion revenue Fortune Global 500 company serving customers in 180 markets around the world. Focused on a bold vision to deliver smarter technology for all, we are developing world-changing technologies that power (through devices and infrastructure) and empower (through solutions, services and software) millions of customers every day and together create a more inclusive, trustworthy and sustainable digital society for everyone, everywhere. 

The one thing that’s missing? Well… you...

Description and Requirements

• Lenovo (HKSE: 992) (ADR: LNVGY) is a US$60 billion revenue Fortune Global 500 company serving customers in 180 markets around the world. Focused on a bold vision to deliver smarter technology for all, we are developing world-changing technologies that power (through devices and infrastructure) and empower (through solutions, services and software) millions of customers every day and together create a more inclusive, trustworthy and sustainable digital society for everyone, everywhere. To find out more visit https://www.lenovo.com,and read about the latest news via our StoryHub.

• Master or PhD degree in Computer Science, Mathematics, Statistics, Electronic Engineering or other related fields.
• Demonstrable proficiency in at least one programming language such as Python, Java, C++.
• Strong hands-on ability, proficient in NLP related deep learning framework?PyTorch?TensorFlow?PaddlePaddle?
• Knowledge in NLP-related algorithms and methods such as Word2Vec?FastText?LSTM?BERT?ALBERT?RoBERTa.
• Project experience on building components for NLP-based products is preferred, 1 year hands-on working experience is preferred.
• Strong team management and communication skills.