Description of the Job
A Moving Experience.
Principal Duties:
. Create, put into practice, and refine language-specific and polyglot machine learning models for a variety of languages, with a particular emphasis on seq2seq models and classifiers.
. Create and improve solutions that use these models to address difficult text normalization and classification issues in text-to-speech scenarios.
. Work together with cross-functional teams to comprehend business needs and provide excellent outcomes.
. Research and keep abreast of the most recent developments in machine learning and natural language processing.
. Mentor and advise language specialists and junior engineers, offering technical leadership and encouraging an environment of lifelong learning.
Requirements: 
. a master's or doctoral degree in computer science, machine learning, artificial intelligence, or a similar discipline.
. 4+ years of practical machine learning expertise, specializing on natural language processing.
. shown proficiency with transformers, seq2seq models, and other cutting-edge NLP structures.
. strong Python programming abilities and knowledge of machine learning frameworks like PyTorch, TensorFlow, or others.
. familiarity with and knowledge of the difficulties posed by multilingual NLP applications.
. strong grasp of statistical techniques, algorithms, and machine learning concepts.
. Outstanding critical and creative thinking abilities as well as problem-solving abilities.
.  Excellent communication abilities and the capacity to function well in a cooperative team setting.
Preferred Requirements:
. knowledge of MLOps procedures and resources.
. text-to-speech experience.
. competence in a language other than English.
Cerence Inc. (Nasdaq: CRNC and www.cerence.com) is the world leader in the automobile sector for developing distinctive, poignant experiences.  After splitting from Nuance in October 2019, Cerence is a brand-new, independent business that has rapidly established itself as a pioneer in the automotive voice assistant market. It has partnered with all of the top automakers in the world, including Ford, Fiat Chrysler, Daimler, Audi, BMW, Geely, and SAIC, to revolutionize the way a car feels, reacts, and learns.  More than 500 million automobiles on the road today, in more than 70 languages, and more than 20 years of industry expertise and leadership have all contributed to its impressive track record.We need someone to join the team and contribute to the development of voice and AI in automobiles as Cerence looks to the future and pursues an ambitious expansion goal.  Joining Cerence's enthusiastic, committed, international team and contributing to significant innovation in a quickly expanding sector is an exciting opportunity.
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:
. observing workplace security procedures and participating in training courses to get knowledgeable about how to keep a safe workplace.
. reporting any questionable behavior in accordance with security protocols.
. having regard for company security protocols in order to enable their efficacy.
. following the rules and restrictions set out by the firm.
. promoting a zero tolerance policy for violence in the workplace.
. fundamental understanding of data privacy and security regulations (e.g., how to handle and secure data).
. Use internal training programs to demonstrate your understanding of information security.