Senior Speech & Language R&D Engineer

We are seeking a highly motivated Senior Research Engineer to design, develop, and maintain next-generation AI-powered Natural Language Understanding (NLU) systems for the automotive and mobility markets. This role involves working with cutting-edge machine learning to deliver exceptional in-car AI experiences. Responsibilities include developing and improving NLU systems, creating new use cases, developing LLM-based data generation methods, maintaining dictionaries and grammar rules, and designing defect analysis methods.

Must Have

• Develop and improve NLU systems
• Develop new use cases and features for in-car AI
• Develop LLM based data generation and data refinement methods
• Develop and maintain dictionaries, grammar rules, and annotations
• Design and implement efficient methods for defect analysis and resolution
• Master's degree in Computer Science, Computational Linguistics, or related field
• Strong problem solving skills
• Hands-on software programming/scripting experience
• Experience with machine learning techniques
• Ability to implement and adapt existing algorithms
• Experience with RAG systems
• Experience with LLM prompting practices

Good to Have

• Proficiency in additional human languages

A Moving Experience.

Opportunity: We are seeking a highly motivated Senior Research Engineer to join our team in designing, developing, and maintaining the next generation AI-powered Natural Language Understanding (NLU) systems for the automotive and mobility markets. In this role, you will have the opportunity to work with cutting-edge machine learning techniques to deliver an exceptional in-car AI experience for our customers.

Daily Functions / Responsibilities:

• Develop and improve NLU systems, including the development of new use cases and features to enhance the in-car AI experience for our customers
• Develop LLM based data generation and data refinement methods.
• Develop and maintain dictionaries, grammar rules, and annotations to ensure that our NLU systems meet the highest standards of performance
• Design and implement efficient methods for defect analysis and resolution for a complex AI-powered voice assistant system

Requirements:

• A Master's degree in Computer Science, Computational Linguistics, or a related field, or equivalent work experience
• Strong problem solving skills with hands on software programming/scripting experience.
• Experience with machine learning techniques and the ability to implement and adapt existing algorithms
• Experience with RAG systems and LLM prompting practices
• Proficiency in additional human languages is a plus, as it will enable you to work effectively with our global team and better serve our international customers