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Senior Speech & Language R&D Engineer(m/w/x)
Developing NLU systems and LLM-based data generation for in-car AI at automotive voice assistant leader. Experience with RAG systems, advanced prompting, and ML algorithm implementation required. Focus on creating unique, moving experiences for automotive voice assistants.
Anforderungen
- Master's degree in Computer Science, Computational Linguistics, or related field, or equivalent work experience
- Strong problem solving skills with hands-on software programming/scripting experience
- Experience with machine learning techniques and ability to implement and adapt algorithms
- Experience with RAG systems and LLM prompting practices
- Proficiency in additional human languages
- Basic knowledge of information security and data privacy requirements
- Demonstrative knowledge of information security through internal training programs
Aufgaben
- Develop and improve NLU systems
- Create new use cases and features for in-car AI
- Develop LLM-based data generation methods
- Refine data generation processes
- Maintain dictionaries and grammar rules
- Ensure high performance of NLU systems
- Design methods for defect analysis
- Implement resolution strategies for voice assistant systems
Berufserfahrung
- ca. 4 - 6 Jahre
Ausbildung
- Master-Abschluss
Sprachen
- Englisch – verhandlungssicher
Noch nicht perfekt?
- Cerence GmbHVollzeitnur vor OrtSeniorAachen
- Cerence GmbH
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Senior Speech & Language R&D Engineer(m/w/x)
Developing NLU systems and LLM-based data generation for in-car AI at automotive voice assistant leader. Experience with RAG systems, advanced prompting, and ML algorithm implementation required. Focus on creating unique, moving experiences for automotive voice assistants.
Anforderungen
- Master's degree in Computer Science, Computational Linguistics, or related field, or equivalent work experience
- Strong problem solving skills with hands-on software programming/scripting experience
- Experience with machine learning techniques and ability to implement and adapt algorithms
- Experience with RAG systems and LLM prompting practices
- Proficiency in additional human languages
- Basic knowledge of information security and data privacy requirements
- Demonstrative knowledge of information security through internal training programs
Aufgaben
- Develop and improve NLU systems
- Create new use cases and features for in-car AI
- Develop LLM-based data generation methods
- Refine data generation processes
- Maintain dictionaries and grammar rules
- Ensure high performance of NLU systems
- Design methods for defect analysis
- Implement resolution strategies for voice assistant systems
Berufserfahrung
- ca. 4 - 6 Jahre
Ausbildung
- Master-Abschluss
Sprachen
- Englisch – verhandlungssicher
Über das Unternehmen
Cerence GmbH
Branche
Automotive
Beschreibung
The company is a global leader in creating unique, moving experiences for the automotive world, specializing in voice assistant technology.
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