Senior Research Scientist - AI and Machine Learning (Automotive)

The candidate is expected to contribute to cutting edge research in Artificial Intelligence and Machine Learning applications. The candidate is expected to develop and implement AI and Machine Learning prototypes and solutions for real world problems that are relevant to Nuance and its customers, including user modeling / preference learning, and inference.The candidate is expected to work/collaborate with other members of the group and across Nuance to successfully productize and deploy R&D outcomes.

The position is located in our office in Aachen, Germany. 

Responsibilities:

• The candidate will work with a team of researchers and engineers engaged in state-of-the-art research and development in AI and Conversational Systems.
• The candidate will contribute innovative ideas/solutions to the aforementioned areas, as well as publish within the research community, and work on patents where applicable.
• The candidate will contribute to the software development of technology capabilities and solutions based on artificial intelligence and machine learning techniques and principles.
• The candidate will participate in the testing and integration of these capabilities/solutions in end-to-end systems.
• The candidate will work with other researchers/engineers to transition, productize, and deploy R&D outcomes

Qualifications:

Number of Years of Work Experience: 3+

• Experience in Artificial Intelligence and Machine Learning
• Experience with one or more of the following programming languages: Java, Python, C, or C++.
• Strong software development experience
• Good communication skills in English are essential
• Comfortable working in team settings

Preferred Skills:

• Experience with software development cycles and methodologies
• Experience working with Engineering and Product groups to transition and productize R&D outcomes
• Strong publication record in Artificial Intelligence and Machine Learning as demonstrated by publications in relevant conferences such as AAAI, IJCAI, ICML, etc.
• Ability to contribute to the definition of research agenda and execute on agenda

Education: Master's in Computer Science or equivalent (PhD Preferred)