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A leading automotive technology firm in Aachen is seeking a Senior Research Engineer to innovate AI-powered Natural Language Understanding systems. In this role, you will develop and enhance NLU systems, focusing on cutting-edge machine learning techniques. The ideal candidate holds a Master's degree in a relevant field, possesses strong programming skills, and is experienced in machine learning. This position emphasizes collaboration within a dedicated global team, contributing to groundbreaking advancements in automotive AI.
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.
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.
AsCerencelooks to the future and continues an ambitious growth agenda,we need someonetojointheteam and help build the future of voice and AI in cars. This is an exciting opportunity to joinCerence’spassionate, dedicated, global team and be a part of meaningful innovation in a rapidly growing industry.
Cerence is firmly committed to Equal Employment Opportunity (EEO) and to compliance with all federal, state and local laws that prohibit employment discrimination on the basis of age, race, color, gender, gender identity, gender expression, sex, sex stereotyping, pregnancy, national origin, ancestry, religion, physical or mental disability, medical condition, marital status, citizenship status, sexual orientation, protected military or veteran status, genetic information and other protected classifications. Cerence Equal Employment Opportunity Policy Statement.
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