计算机视觉工程师（厦门）

美图影像研究院(MT Lab)专注于计算机视觉、深度学习与计算机图形学等前沿算法的研究与应用。我们为美图产品提供核心技术支持。团队汇聚顶尖人才，致力于推动影像技术的突破，让科技与艺术美好交汇。

MT Lab focuses on R&D of cutting-edge algorithms in CV, deepearning, and computer graphics. We provide core technicalsupport for Meitu products.Our team of top talent is dedicated to advancing imagingtechnology, beautifully merging science and art.

岗位名称：计算机视觉工程师

工作地点：厦门

涉及技术方向：深度学习／计算机视觉／图像视频处理, 如图像和视频的检测、识别、分割、编辑、重建、3D视觉、计算成像、图像生成、AIGC、多模态等

岗位职责:

● 理论创新：研究领域最新技术，提出新idea，撰写技术专利或论文

● 算法设计：针对实际应用场景，设计算法并提升其效果/效率/鲁棒性

● 落地实现：核心代码实现，输出demo或SDK，根据产品反馈迭代优化

任职要求:

● 计算机/电子信息/数学相关专业，基础扎实，硕士及以上学历

● 熟练掌握C/C++/Python至少一种，工程实现能力强

● 熟悉常用CV库和深度学习框架（PyTorch/TensorFlow/Caffe等）

● 对计算机视觉和人工智能研究和落地有热情

Title: Computer Vision Engineer

Location:Xiamen

Core Technical Domains​:

Deep learning, computer vision, and image & video processing, with specific focus on technologies including but not limited to: image/video detection, recognition, segmentation, editing, reconstruction, 3D vision, computational imaging, image generation, AIGC, and multimodality.

Key Responsibilities:

1、Theoretical Innovation

● Conduct in-depth research on cutting-edge technologies within the domain, proactively propose innovative concepts and solutions, and be responsible for drafting technical patents or academic papers.

2、Algorithm Design

● Target specific practical application scenarios, design tailored algorithms, and conduct systematic optimization to enhance the algorithms' performance, operational efficiency, and robustness.

3、Implementation & Deployment

● Develop core code, deliver demos or SDKs, and continuously optimize based on product feedback.

Qualifications:

● Master's degree or above in Computer Science, Electronic Information Engineering, Mathematics, or other related disciplines. Demonstrate solid foundational knowledge in relevant fields (e.g., machine learning, computer graphics)

● Possess proficiency in at least one programming language from C/C++ or Python, with excellent engineering implementation capabilities and a proven track record of delivering high-quality code.

● Have a comprehensive understanding of common Computer Vision (CV) libraries and be well-versed in deep learning frameworks (e.g., PyTorch, TensorFlow, Caffe), with the ability to apply them to practical technical tasks.

● With a strong passion for the research, development, and practical application of computer vision and artificial intelligence technologies.