Principal AI Scientist

A Moving Experience. Your Impact Architect, design, and implement state-of-the-art Generative AI models (auto-regressive, diffusion, Discrete Diffusion, Hybrid SSM etc ) and advance the SOTA. Leverage your expertise to effectively train, fine-tune, and optimize models that impact LLMs (Multimodal & Multilingual), shaping them for optimal accuracy, naturalness, and performance. Collaborate closely with cross-functional teams comprising agentic AI scientists, software engineers, and domain experts. By understanding their requirements, you will collaboratively develop customized solutions that leverage the prowess of LLMs/MLLMs. Innovate and enhance existing applications by integrating the power of LLMs/MLLMs, thereby ensuring optimal performance and speed even on resource-constrained platforms. Stay fully abreast of the latest advancements, trends, and research in the realms of Generative AI, Conversational AI, and language modeling, actively incorporating new techniques, technologies, and best practices to continually enhance the overall performance of our systems. What You Bring Extensive experience and demonstrated mastery in developing LLM/MLLMs. Well versed with commercial deployments, post-deployment support, model-profiling and optimization needed for production environments. It would be preferable to be experienced in deploying models in different languages. Advanced degree (Ph.D. preferred) in computer science, electrical engineering, or a related field. Exceptional programming skills in Python along with a strong ability to implement complex machine learning algorithms. Proven track-record in developing conversational AI systems, successfully working with diverse elements such as acoustic models, language models, and pronunciation models. Possess strong analytical thinking, problem-solving capabilities, and a collaborative mindset, ensuring you can thrive within our fast-paced and innovative environment. It would be nice to have communication skills needed to evangelise GenAI skills covering EMEA. 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. This is an exciting opportunity to join Cerence’s passionate, dedicated, global team and be a part of meaningful innovation in a rapidly growing industry. EQUAL OPPORTUNITY EMPLOYER 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. All prospective and current Employees need to remain vigilant when it comes to executing security policies in the workplace. This includes: - Following workplace security protocols and training programs to familiarize with the ways to maintain a safe workplace. - Following security procedures to report any suspicious activity. - Having respect for corporate security procedures to allow those procedures to be effective. - Adhering to company's compliance and regulations. - Encouraging to follow a zero tolerance for workplace violence. - Basic knowledge of information security and data privacy requirements (e.g., how to protect data & how to be handling this data). - Demonstrative knowledge of information security through internal training programs.