Job Description

Position Overview

• Location Type: Hybrid
• Employment Type: Full time
• Salary: Not specified
• Company: Cerence AI

Cerence AI is a global leader in AI for transportation, specializing in creating AI-powered and voice companions for cars, motorcycles, and more. We enable users to focus on the essentials by providing intuitive and integrated experiences. We work with leading automotive manufacturers like Volkswagen, Mercedes, Audi, Toyota, and other suppliers and tech companies to create safer, more connected, and more enjoyable journeys.

Requirements

• Expertise in Large Language Models (LLMs)
• Experience with Generative AI models
• Strong understanding of Rapid Automatic Speech Processing (RAP) or Text-to-Speech (TTS) technologies
• Ability to train, fine-tune, and optimize LLMs effectively
• Collaboration skills with cross-functional teams (data scientists, software engineers, domain experts)
• Knowledge of the latest advancements in Generative AI, RAP, TTS, and language modeling

Responsibilities

• Design and implement state-of-the-art generative AI models for RAP or TTS applications using LLMs.
• Leverage expertise to train, fine-tune, and optimize LLMs for accuracy, naturalness, and optimal performance in RAP or TTS.
• Collaborate closely with interdisciplinary teams to develop customized RAP or TTS solutions leveraging the power of LLMs.
• Innovate and improve existing RAP or TTS models by integrating LLMs, ensuring optimal performance and speed on resource-constrained platforms.
• Stay up-to-date with the latest advancements, trends, and research in Generative AI, RAP, TTS, and language modeling, incorporating new techniques and best practices.

Application Instructions

• Not specified.

Company Information

Cerence AI has a global team operating worldwide with headquarters in Burlington, Massachusetts, USA, and 16 offices across Europe, Asia, and North America. The company culture is client-focused, collaborative, stimulating, and friendly, offering continuous learning and development opportunities.