Cerence Inc.
Principal AI Researcher, LLM
Aachen, DE · Principal
Sponsorship not specifiedDetected 63 days ago
PythonMachine LearningLLMsCybersecurityElectrical EngineeringResearchLeadershipProblem Solving
About the role
- We bring together diverse backgrounds and varied skill sets with the shared goal of advancing the next generation of transportation user experiences.
Responsibilities
- Design and implement architectures that use state-of-the-art generative AI models for dialog, destination entry, search and many other domains.
- Leverage your expertise to effectively optimize the use of LLMs through prompting or fine-tuning, shaping them for optimal accuracy, naturalness, and performance.
- Collaborate closely with cross-functional teams comprising data scientists, software engineers, and domain experts. By understanding their requirements, you will collaboratively develop customized solutions that leverage the prowess of LLMs.
- 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.
Requirements
- Possess strong analytical thinking, problem-solving capabilities, and a collaborative mindset, ensuring you can thrive within our fast-paced and innovative environment.
- Do you have a passion for pushing the boundaries of innovation?
- Are you excited about AI's potential to improve the human experience?
- Extensive experience and demonstrated mastery in developing Large Language Models, ideally relating them seamlessly with either Dialog implementations, Virtual Assistants, Automatic Speech Recognition (ASR), Visual processing, or Text-to-Speech applications.
- Exceptional programming skills in Python along with a strong ability to implement complex machine learning algorithms.
- Annual bonus opportunity
- Insurance coverage (medical, dental, vision, life, and disability)
- Paid time off
- Paid holidays
- Company contribution to the RRSP (Registered Retirement Savings Plan)
- Equity awards for certain positions and levels
- Remote and/or hybrid work available depending on the position
- Following workplace security protocols and training programs to familiarize with the ways to maintain a safe workplace.
Nice to have
- Advanced degree (Ph.D. preferred) in computer science, electrical engineering, or a related field.
Compensation
- We offer a generous compensation and benefits package (in addition to the base salary), including:
Benefits
- We offer a generous compensation and benefits package (in addition to the base salary), including:
- All compensation and benefits are subject to the terms and conditions of the underlying plans or programs, as applicable, and may be amended, terminated, or replaced from time to time.
Company info
- 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
- 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:
- Adhering to company's compliance and regulations.
- Encouraging to follow a zero tolerance for workplace violence.
Visa & Work Authorization
- ping, pregnancy, national origin, ancestry, religion, physical or mental disability, medical condition, marital status, citizenship status, sexual orientation, protected military or veteran status, genetic information an
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This listing is sourced directly from Cerence Inc.'s careers page and normalized into a canonical job model.