About the role
What will you do at 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 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
- The base salary range for this full-time position is $148,909 - $252,000, in
- addition to bonus, equity and benefits. Our salary ranges are determined by
- role, level, and location. 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.
- 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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