Senior Research Scientist AI - #938530

A Moving Experience.

Opportunity

Are you interested in joining an international team of AI experts to contribute as an expert in Machine Learning to our Speech Generation Technology and Products? Then this is an excellent opportunity for you!

We are looking for a passionate and creative candidate with a strong background in Machine Learning/Deep Learning who wants to contribute to our success.

Principal Duties And Responsibilities

• Design and develop research initiatives in Text-to-Speech synthesis, driving innovation that bolsters naturalness, expressiveness, and efficiency of our AI models.
• Contribute to model training, evaluation, and optimization.
• Build prototypes and turn research code into stable pre-production software.
• Stay at the forefront of AI, monitoring and analyzing contemporary research.
• Act as a participant in team conversations, contributing novel ideas to advance our SOTA.
• Collaborate closely with cross-functional teams to help them integrate advanced TTS solutions into our products and services.
  
  
  

Knowledge, Skills And Qualifications

• Proficiency in AI and the ability to design and execute experiments to advance research objectives.
• Strong problem-solving, analytical, and critical thinking skills, with the ability to adapt to new challenges and technologies.
• Eager to learn about the newest developments in AI and Speech and Language Technology.
• Deep understanding of AI models and architectures, such as LLMs, Diffusion models, GAN, etc.
• Solid programming skills in python (C/C++ or other languages is a plus)
• Ability to work in an international cross-site team of experts. Being a team player and coach to interns and junior researchers.
• Excellent oral and written communication skills in English.
  
  
  

Preferred Skills

• Knowledge of Text-to-Speech (TTS).
• Knowledge of speech processing algorithms, signal processing and natural language processing (NLP).
• Operational languages other than English.
  
  
  

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.