Senior Computer Vision Engineer
Senior Computer Vision Engineer
On-siteOn-siteFull-time$180k – $280k / year
About this role
Senior Computer Vision Engineer
Senior Computer Vision Engineer
at XPeng Motors Full Time
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.
We are seeking a talented Computer Vision / Machine Learning Engineer to join our global team. In this role, you will develop and optimize multi-modal models and computer vision systems, driving performance, efficiency, and real-world deployment. The ideal candidate has hands-on experience with multi-modal model training and optimization, a strong foundation in computer vision, and solid C++ engineering skills.
Key Responsibilities
Research and implement multi-modal large models (image-text, image-audio, etc.) training, fine-tuning, and inference optimization strategies, continuously improving model performance, efficiency, and generalization ability.
Design and optimize computer vision models and algorithms (e.g., detection, classification, segmentation, feature extraction) to support real-world applications.
Collaborate with cross-functional teams (product, engineering, data) to translate research into scalable, reliable, and production-ready solutions.
Use C++ to implement and optimize models and systems, including deployment, performance tuning, and integration, ensuring low latency and high throughput.
Stay up to date with advances in computer vision and multi-modal AI, and apply new methods to improve model performance and product impact.
Contribute to technical discussions, code reviews, and knowledge sharing to improve code quality and engineering best practices.
Minimum Qualifications
Master’s or Ph.D. in Computer
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