XPENG is seeking a Computer Vision Engineer to design and implement cutting-edge computer vision systems for in-cabin scenarios, focusing on occupant and object detection, human action analysis, and ambience perception.
Requirements
- Hands-on experience in model development (CV/VL models) and algorithm optimization.
- Proficiency in PyTorch or TensorFlow, and experience with data preprocessing techniques.
- Ability to read, interpret, and implement research papers effectively.
- Familiarity with large-scale model pretraining, quantization, or distributed training.
- Experience with edge device deployment or applications in autonomous driving.
- Publications in top-tier conferences (e.g., CVPR, ICCV, NeurIPS) or contributions to open-source projects.
Responsibilities
- Design multimodal (image/video/text) models using state-of-the-art machine learning and neural network algorithms.
- Create and curate training datasets; iteratively refine data based on model performance and project requirements.
- Implement and optimize distributed training frameworks to accelerate model development.
- Collaborate with deployment teams to enable efficient edge and on-device model deployment.
- Stay current with academic research and integrate novel algorithms into production workflows.
- Coordinate cross-functional efforts across teams and departments.
Other
- Master’s or Ph.D. in Computer Science or a related field, with strong expertise in computer vision and machine learning. Open to new graduates.
- Strong collaboration and communication skills.
- Experience coordinating across multiple teams.
