Nuance Senior/Lead NLU Research Engineer in Chengdu, China
At Nuance, we empower people with the ability to seamlessly interact with their connected devices and the digital world around them. We are creating a world where technology thinks and acts the way people do by designing the most human, natural, and intuitive ways of interacting with technology.
Our nimble technology uses analytics and advanced algorithms to transform the inanimate into animate and reduce complicated processes into simple ones.
Join our Mobile team…intelligent systems now ready for the road. We are passionate about developing intelligent interfaces that enable people to talk to their cars, phones, devices, and other smart “things”.
Responsible for cloud NLU development and research and AI/IoT applications, working as a senior or lead engineer.
As a key NLU research and development member for various project’s requests, as well as Nuance’s roadmap: • Deep analysis of customer requirements for realizing NLU on features;
Architecture or module level solution design; • Acquire and accumulate data needed to train NLU models. • Innovate new tech/tools or use existing tools technology or to develop NLU solutions to meet project’s and product need. • Work with development team and QA teams on deliverables and time schedule; • Fluent English to communicate with foreign colleagues of different roles; [Qualifications] Required Skills: - Customer focus; - Native speaker of Chinese; - Strong Natural Language Understanding (NLU) and statistical / semantic language modeling (SLM) theoretical and practical experiences; - Team player and can be a leader; - Coach young engineers; - Good listener and communicator; - Self-motivated, strong ownership spirit and positive "can-do" attitude, well organized, and result-driven; - Self-learner, with sense of initiative, and perseverance to deliver high quality work. Preferred Skills: - Good background in speech and language technologies, and rich speech and language application experiences in automotive and mobile phone industries;
Advanced user of Unix/Linux and Windows platforms. - Engineering practices in design, coding with Java or C/C++ or Python, and testing.
Education: Master degree or above in Computational Linguistics, Computer Science, Information technology or a comparable field.
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External Company URL: www.nuance.com