Machine Learning Engineer - LLM, AI & Robotics
XPENGUnited States14 days ago
Full-timeEngineering, Information Technology
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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
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.
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
- Ph.D in Computer Science or related fields.
- Solid background in machine learning, natural language processing (NLP), computer vision,
- Experience in working with LLMs
- Strong python programming skills & software development, and strong experience with any
- Open-minded, collaborative and excellent communication skills
- 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.
- A fun, supportive and engaging environment
- Opportunity to make significant impact on transportation revolution by the means of
- Opportunity to work on cutting edge technologies with the top talent in the field
- Competitive compensation package
- Snacks, lunches, and fun activities
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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