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. And AI is the core in all the above efforts. With this mission, we are looking for passionated engineers of all levels who will build large language models / foundation models together with us to shape this new future of Robotics & AI. You will work on a lean team without boundaries. Your influence will be on every single product that is shipped, without boundaries as well.
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.
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.
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.
What do we provide:
A fun, supportive and engaging environment
Opportunity to make significant impact on transportation revolution by the means of
advancing autonomous driving
Opportunity to work on cutting edge technologies with the top talent in the field
Competitive compensation package
Snacks, lunches, and fun activities
