Fine-tune the pre-trained LLM on particular use cases in Humanoid Robots and Autonomous Driving Cars, e.g. chat, API calling, etc. Work on efficient LLMs (e.g. small LLMs, weight sharing, model quantization, etc.) that can be deployed locally in Robots and Cars. Develop and maintain the LLM (including multi-modal LLM) training and deployment pipelines that could scale to massive production. Work on efficient and effective ways to leverage large scale dataset and computational resource. Explore novel ways to generate synthetic data to improve the data diversity & quality. Communicate and align with different teams on product needs across the company

Minimum Skill Requirements: Ph.D in Computer Science or related fields. Solid background in machine learning, natural language processing (NLP), computer vision, speech or data. Experience in working with LLMs Strong python programming skills & software development, and strong experience with any major deep learning framework. Open-minded, collaborative and excellent communication skills Preferred Skill Requirements: Deep understanding of language model modern architectures, ‘under the hood’ LLM training knowledge, quantization techniques, etc. Familiarity of large language models (LLMs) relevant technologies, such as SFT, RLHF, prompt engineering, RAG, etc. Record of publications, innovations or leadership