Senior Speech & Language R&D Engineer

A Moving Experience.

Cerence Inc. (Nasdaq: CRNC and www.cerence.com ) is the global industry leader in creating unique, moving experiences for the automotive world. Spun out from Nuance in October 2019, Cerence is a new, independent company that has quickly gained traction as a leader in the automotive voice assistant space, working with all of the world’s leading automakers – from Ford and Fiat Chrysler to Daimler, Audi and BMW to Geely and SAIC – to transform how a car feels, responds and learns. Its track record is built on more than 20 years of industry experience and leadership and more than 500 million cars on the road today across more than 70 languages.

As Cerence looks to the future and continues an ambitious growth agenda, we need someone to join the team and help build the future of voice and AI in cars.

• 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

• 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