Software Engineer, Data Platform
TRM LabsFull Time
Mid-level (3 to 4 years), Senior (5 to 8 years)
The ideal candidate should possess a strong background in data science, particularly with expertise in Large Language Models (LLMs), and a demonstrated ability to design and implement generative AI models for applications such as Rapid Automatic Speech Processing (RAP) or Text-to-Speech (TTS). Experience in training, fine-tuning, and optimizing LLMs for accuracy, naturalness, and performance is essential, along with a commitment to staying current with the latest advancements in generative AI, RAP, TTS, and language modeling.
As a Principal/Senior Data Scientist, you will be responsible for designing and implementing state-of-the-art generative AI models for RAP or TTS using advanced LLMs, collaborating closely with interdisciplinary teams to develop customized solutions, innovating and improving existing models by integrating LLM power, and ensuring optimal performance and speed on resource-constrained platforms.
AI solutions for automotive in-car experiences
Cerence develops AI-powered solutions specifically for the automotive industry, focusing on improving the in-car experience for drivers and passengers. Their products include voice recognition systems and AI-driven assistants that enhance entertainment, connectivity, and safety while driving. Cerence collaborates with major automotive manufacturers to integrate these technologies into vehicles, such as the Mercedes Benz User Experience. Unlike many competitors, Cerence emphasizes a comprehensive approach that includes ongoing support and upgrades, ensuring their technology adapts to trends like smart cities and electric vehicles. The company's goal is to transform transportation and shape the future of mobility through innovative and user-friendly solutions.