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Research Engineer-Automatic Speech Recognition, Shanghai, China
Overview:
Nuance Automotive specializes in conversational AI technologies for car manufacturers, helping them deliver unique user experiences to their customers. With the Dragon Drive platform, Nuance offers a deeply integrated hybrid solution that can be customized to become an OEM-branded smart automotive assistant which seamlessly integrates into the user’s connected ecosystem. Dragon Drive powers more than 200 million cars on the road today across more than 40 languages, creating conversational experiences for Toyota, Audi, BMW, Daimler, Fiat, Ford, GM, Hyundai, SAIC, and more.
Summary: Responsible for ASR development and research, as well as AI related topics.
Responsibilities:
- ASR research and development for various project’s requests as well as Nuance’s roadmap.
- Analysis of customer requirements for realizing ASR solutions on features.
- Develop algorithms for wake-up word recognition.
- Use existing tools technology or innovate new tech/tools to develop ASR solutions to meet project’s need.
- Work with application development engineers and QA teams within the scope of one or more customer projects to realize the project deliverables.
- Develop demos and products on various HW/SW platforms like android, Linux, QNX devices.
- Development and maintenance of relevant processes for the use in production on key projects at Nuance.
Qualifications
Required Skills:
- Solid development skills in C/C++ and rich experience on the code optimization.
- Understanding of distributed systems, data structures and algorithms.
- Knowledge in machine learning & statistics area.
- Native speaker of Chinese.
- Ability to manage tasks and deliverables for simultaneous projects.
- Ability to work well both independently and within a team.
Preferred Skills:
- Team work spirit.
- Fluent English communication, good communication skills.
- Accomplished coder – can realize research ideas effectively.
Education: MS/PhD degree in Computer Science, Engineering, Math or equivalent
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