A Moving Experience.

Cerence is a global leader in creating cutting-edge AI-powered solutions that make our driving experiences safer, more productive, and more enjoyable. We provide the technology behind the world's most popular car brands, enabling drivers and passengers to interact with their vehicles in new and exciting ways. Our focus on innovation and commitment to quality has helped us build a reputation as one of the most trusted and respected companies in the industry. With a team of talented and passionate people from around the world, we're always pushing the boundaries of what's possible, and we're proud to be at the forefront of the next generation of in-car technology. Join us and help shape the future of mobility.

We are seeking an exceptional Generative ML Engineer with a profound understanding of Large Language Models (LLMs) and a strong background in Automatic Speech Recognition (ASR) or Text-to-Speech (TTS) systems. You will play a pivotal role in integrating cutting-edge LLM technology into our ASR or TTS solutions.

This role reports to the Platform & Core Technology organization.

But that's not all! As a Cerence team member, you'll also:

• Architect, design, and implement state-of-the-art generative AI models for ASR or TTS applications through the proficient use of LLMs.

• Leverage your expertise to effectively train, fine-tune, and optimize LLMs, shaping them for optimal accuracy, naturalness, and performance within ASR or TTS domains.

• Collaborate closely with cross-functional teams comprising data scientists, software engineers, and domain experts. By understanding their requirements, you will collaboratively develop customized ASR or TTS solutions that leverage the prowess of LLMs.

• Innovate and enhance existing ASR or TTS models by integrating the power of LLMs, 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, ASR, TTS, and language modeling, actively incorporating new techniques, technologies, and best practices to continually enhance the overall performance of our systems.

Who you are:

• Extensive experience and demonstrated mastery in developing Large Language Models, ideally relating them seamlessly with either Automatic Speech Recognition (ASR) or Text-to-Speech (TTS) applications.

• 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 ASR or TTS 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.

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.