Principal Data Scientist
November 7
Description
• Lead a team of software developers in the design, development, and implementation of large language models (LLMs) for Cerence's software products. • Collaborate with cross-functional teams, including AI researchers, product managers, and engineers, to define requirements and specifications for LLM-based features and functionalities. • Develop and optimize algorithms and techniques for training and fine-tuning large language models, with a focus on accuracy, efficiency, and scalability. • Design and implement software components and modules to integrate LLM capabilities into Cerence's speech recognition and natural language understanding systems. • Conduct thorough testing and validation of LLM-based features to ensure high performance, reliability, and robustness in real-world automotive environments. • Stay updated with the latest advancements in AI and natural language processing (NLP) technologies, and contribute to research and innovation efforts within the company. • Provide technical leadership, mentorship, and guidance to team members, fostering a culture of collaboration, innovation, and continuous learning.
Requirements
• Bachelor's or Master's degree in Computer Science, Artificial Intelligence, or related field • Proven experience in software development, with a focus on AI, machine learning, and natural language processing • Strong proficiency in programming languages such as Python, C/C++, and experience with AI frameworks and libraries (e.g., TensorFlow, PyTorch) • Solid understanding of large language models (LLMs), deep learning architectures, and NLP techniques • Experience with training and fine-tuning large language models using large-scale datasets and distributed computing environments • Excellent problem-solving skills, attention to detail, and ability to work effectively in a collaborative team environment • Strong communication skills and ability to effectively communicate technical concepts to non-technical stakeholders
Benefits
• 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
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