Principal AI Researcher, LLM

Summary

Cerence is seeking a Principal AI Researcher, LLM to design and implement architectures using state-of-the-art generative AI models for various domains like dialog and search. The role involves optimizing LLMs through prompting or fine-tuning for accuracy and performance, collaborating with cross-functional teams, and enhancing existing models for resource-constrained platforms. Candidates should have extensive experience in LLM development, ideally with Dialog, Virtual Assistants, ASR, Visual processing, or Text-to-Speech, and strong Python programming skills.

Must Have

• Design and implement architectures using state-of-the-art generative AI models.
• Optimize LLMs through prompting or fine-tuning for accuracy and performance.
• Collaborate with cross-functional teams to develop customized LLM solutions.
• Research and enhance existing models by integrating LLMs for optimal performance.
• Stay abreast of advancements in generative AI, dialog, and language modeling.
• Extensive experience in developing Large Language Models.
• Experience with Dialog implementations, Virtual Assistants, ASR, Visual processing, or Text-to-Speech applications.
• Advanced degree (Ph.D. preferred) in computer science, electrical engineering, or a related field.
• Exceptional programming skills in Python.
• Strong ability to implement complex machine learning algorithms.
• Strong analytical thinking, problem-solving capabilities, and a collaborative mindset.

Perks

• 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

Your Impact:

• 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.
• Research, innovate and enhance existing 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, dialog 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 Large Language Models, ideally relating them seamlessly with either Dialog implementations, Virtual Assistants, Automatic Speech Recognition (ASR), Visual processing, or Text-to-Speech 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.
• Possess strong analytical thinking, problem-solving capabilities, and a collaborative mindset, ensuring you can thrive within our fast-paced and innovative environment. What we offer

We offer a generous compensation and benefits package (in addition to the base salary), including:

• 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

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.