- Architect, 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.
- Demonstrate LLM related applications and concepts for automotive users.
- Extensive experience and demonstrated mastery in developing Large Language Models, ideally relating them seamlessly with either Dialog implementations, Virtual Assistants, Automatic Speech Recognition (ASR) or Text-to-Speech (TTS) applications.
- Knowledge of prompt engineering, Large Language Model training and fine-tuning, strong interests on Small Language Model (SLM), vision and other multimodality large models.
- Hands-on experience of Large Language Model application development.
- Master’s degree 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, can-do spirit, team player, ensuring you can thrive within our fast-paced and innovative environment.
TBD