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Senior Speech & Language R&D Engineer(m/w/x)
Description
In this role, you will leverage advanced machine learning techniques to enhance NLU systems, create innovative features for an exceptional in-car AI experience, ensure top performance, and resolve system defects.
Let AI find the perfect jobs for you!
Upload your CV and Nejo AI will find matching job offers for you.
Requirements
- •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
Education
Work Experience
approx. 4 - 6 years
Tasks
- •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
Languages
English – Business Fluent
- Cerence GmbHFull-timeOn-siteSeniorAachen
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Senior Speech & Language R&D Engineer(m/w/x)
The AI Job Search Engine
Description
In this role, you will leverage advanced machine learning techniques to enhance NLU systems, create innovative features for an exceptional in-car AI experience, ensure top performance, and resolve system defects.
Let AI find the perfect jobs for you!
Upload your CV and Nejo AI will find matching job offers for you.
Requirements
- •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
Education
Work Experience
approx. 4 - 6 years
Tasks
- •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
Languages
English – Business Fluent
About the Company
Cerence GmbH
Industry
Automotive
Description
The company is a global leader in creating unique, moving experiences for the automotive world, specializing in voice assistant technology.
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