XPENG · 1 day ago
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. The role involves fine-tuning pre-trained LLMs for use cases in Humanoid Robots and Autonomous Driving Cars, developing and maintaining training and deployment pipelines, and collaborating across teams on product needs.
AutomotiveAutonomous VehiclesElectric VehicleManufacturing
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
Qualification
Required
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
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
Benefits
Competitive compensation package
Snacks, lunches, and fun activities
Company
XPENG
XPeng is a leading Chinese Smart EV company that designs, develops, manufactures, and markets Smart EVs that appeal to the large and growing base of technology-savvy middle-class consumers.
Funding
Current Stage
Public CompanyTotal Funding
$7.8BKey Investors
China CITIC BankVolkswagen GroupAgricultural Bank of China
2025-08-18Post Ipo Debt· $1.39B
2023-07-26Post Ipo Equity· $700M
2022-04-27Post Ipo Debt· $1.14B
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