About XPENG
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 datasets and computational resources.
- Explore novel ways to generate synthetic data to improve 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 experience.Open‑mind, 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 with large language model technologies such as SFT, RLHF, prompt engineering, RAG, etc.Record of publications, innovations or leadership.What We Provide
A fun, supportive and engaging environment.Opportunity to make significant impact on the transportation revolution by advancing autonomous driving.Opportunity to work on cutting‑edge technologies with top talent in the field.Competitive compensation package.Snacks, lunches, and fun activities.Base Salary Range : $148,909 – $252,000 (in addition to bonus, equity and benefits). This range is determined by role, level and location. Compensation is based on location and other factors, including job‑related skills, experience, and relevant education or training.
We are an Equal Opportunity Employer. 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.
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