XPeng Motors is known for its electric cars and the leading autonomous driving technology. As a technology driven company, we are also developing advanced humanoid robots for various applications in industries. With this mission, we are looking for passionate engineers of all levels who will build large language models / foundation models together with us to shape this new future of Robotics & AI. Your influence will be on every single product that is shipped, without boundaries as well. Hit Apply below to send your application for consideration Ensure that your CV is up to date, and that you have read the job specs first. Job Responsibilities Fine-tune the pre-trained LLM on particular use cases in Humanoid Robots and Autonomous Driving Cars, e.g. chat, API calling, 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. Explore novel ways to generate synthetic data to improve the data diversity & quality. D in Computer Science or related fields. Solid background in machine learning, natural language processing (NLP), computer vision, speech, or data. Strong python programming skills & software development, and strong experience with any relevant tools. Deep understanding of language model modern architectures, 'under the hood' LLM training knowledge, quantization techniques, etc. Familiarity with large language models (LLMs) relevant technologies, such as SFT, RLHF, prompt engineering, RAG, etc. Opportunity to work on cutting edge technologies with the top talent in the field. The base salary range for this full-time position is $148,909 - $252,000, in addition to bonus, equity and benefits. The range displayed on each job posting reflects the minimum and maximum target for new hire salaries for the position across all US locations. Within the range, individual pay is determined by work location and additional factors, including job-related skills, experience, and relevant education or training. It is our policy to provide equal employment opportunities to all qualified persons without regard to race, age, color, sex, sexual orientation, religion, national origin, disability, veteran status or marital status or any other prescribed category set forth in federal or state regulations.