Machine Learning Engineer - LLM, AI & Robotics

XPENG is a leading smart technology company at the forefront of innovation, integrating advanced AI and autonomous driving technologies into its vehicles, including electric vehicles (EVs), electric vertical take-off and landing (eVTOL) aircraft, and robotics. With a strong focus on intelligent mobility, XPENG is dedicated to reshaping the future of transportation through cutting-edge R&D in AI, machine learning, and smart connectivity.

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.

• 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.

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