Machine Learning Engineer – LLM, AI & Robotics

Job Description

Job Summary:
XPENG is a global leader in intelligent mobility, combining cutting-edge AI, autonomous driving, robotics, and electric vehicle innovation. The company is pioneering advancements in smart mobility with projects spanning electric vehicles (EVs), electric vertical take-off and landing (eVTOL) aircraft, and humanoid robotics. As a Machine Learning Engineer specializing in LLM, AI, and robotics, you will work at the intersection of advanced AI research and real-world applications, helping shape the future of autonomous transportation.

Key Responsibilities:

• Fine-tuning and Optimization: Fine-tune pre-trained large language models (LLMs) for specific robotics and autonomous driving scenarios, including natural conversation, API interaction, and system control.

• Efficient LLM Development: Develop compact, optimized LLM architectures using techniques such as small model training, weight sharing, and quantization, enabling efficient local deployment on robots and in-vehicle systems.

• Multi-modal LLM Systems: Build and maintain robust training and deployment pipelines for both LLMs and multi-modal LLMs that integrate vision, speech, and sensor data for advanced robotics and automotive functions.

• Data Management: Design scalable strategies to handle massive datasets, optimize computational resources, and maximize model performance.

• Synthetic Data Generation: Innovate new methods for generating synthetic datasets to enhance diversity, reduce bias, and improve real-world performance.

• Cross-team Collaboration: Work closely with AI researchers, product managers, and robotics engineers to ensure AI solutions meet both technical and business requirements.

Minimum Qualifications:

• Ph.D. in Computer Science, Artificial Intelligence, or a related field.

• Strong academic and practical background in machine learning, NLP, computer vision, or speech/data processing.

• Proven hands-on experience with LLMs and their applications.

• Proficiency in Python and at least one major deep learning framework (e.g., TensorFlow, PyTorch).

• Strong collaborative skills and excellent written and verbal communication.

Preferred Skills:

• Deep understanding of LLM architecture, training processes, and optimization techniques.

• Experience with SFT (Supervised Fine-Tuning), RLHF (Reinforcement Learning from Human Feedback), prompt engineering, and RAG (Retrieval-Augmented Generation).

• Track record of published research, patents, or leadership in AI projects.

• Familiarity with quantization methods and deployment of AI systems in resource-constrained environments.

What XPENG Offers:

• A dynamic, innovative environment focused on next-generation transportation.

• Opportunity to work on high-impact AI and robotics projects with top-tier talent.

• Competitive compensation: $148,909–$252,000 + bonus, equity, and benefits.

• Supportive workplace culture with onsite perks, meals, and team-building activities.

• The chance to directly contribute to revolutionary advancements in autonomous mobility.

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How to Apply:
Apply directly through XPENG’s official careers page.