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Senior Speech & Language R&D Engineer(m/w/x)
Developing NLU systems and large language model data generation for in-car AI experiences in the automotive sector. Experience with RAG systems and LLM prompting, plus near-native Arabic or French skills required. High degree of project autonomy.
Requirements
- Master's degree in Computer Science, Computational Linguistics, or equivalent
- Strong problem solving and software programming skills
- Experience with machine learning and algorithm implementation
- Experience with RAG systems and LLM prompting
- Near-native Arabic or French language skills
- Proficiency in additional human languages (advantageous)
- Basic knowledge of information security and privacy
- Demonstrated knowledge of information security
Tasks
- Develop and improve NLU systems
- Create new use cases and features
- Enhance the in-car AI experience
- Develop LLM-based data generation methods
- Refine data using LLM techniques
- Maintain dictionaries and grammar rules
- Manage annotations for system performance
- Design methods for defect analysis
- Resolve issues in voice assistant systems
Work Experience
- approx. 4 - 6 years
Education
- Master's degree
Languages
- Arabic – Native
- French – Native
Tools & Technologies
- RAG systems
- LLM
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- Cerence Communications Technology (Shanghai) Co., Ltd.Full-timeOn-siteSeniorUlm
- Cerence GmbH
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Senior Speech & Language R&D Engineer(m/w/x)
Developing NLU systems and large language model data generation for in-car AI experiences in the automotive sector. Experience with RAG systems and LLM prompting, plus near-native Arabic or French skills required. High degree of project autonomy.
Requirements
- Master's degree in Computer Science, Computational Linguistics, or equivalent
- Strong problem solving and software programming skills
- Experience with machine learning and algorithm implementation
- Experience with RAG systems and LLM prompting
- Near-native Arabic or French language skills
- Proficiency in additional human languages (advantageous)
- Basic knowledge of information security and privacy
- Demonstrated knowledge of information security
Tasks
- Develop and improve NLU systems
- Create new use cases and features
- Enhance the in-car AI experience
- Develop LLM-based data generation methods
- Refine data using LLM techniques
- Maintain dictionaries and grammar rules
- Manage annotations for system performance
- Design methods for defect analysis
- Resolve issues in voice assistant systems
Work Experience
- approx. 4 - 6 years
Education
- Master's degree
Languages
- Arabic – Native
- French – Native
Tools & Technologies
- RAG systems
- LLM
About the Company
Cerence Inc.
Industry
Automotive
Description
The company is a global leader in creating unique, moving experiences for the automotive world.
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