Algorithm Engineer算法工程师

算法工程师

Algorithm Engineer

加入龙旗科技算法研发团队，参与智能终端产品的计算机视觉、深度学习等核心算法研发，用AI技术赋能下一代智能设备

Join the algorithm R&D team at Longcheer Technology to participate in the development of core algorithms such as computer vision and deep learning for smart terminal products, and empower the next generation of smart devices with AI technology.

responsibilities

1. Responsible for the R&D and technical implementation of core computer vision algorithms (image classification, object detection, image segmentation, etc.).

2. Participate in the application development of core deep learning algorithms (CNN, RNN, GAN, etc.) on smart terminal products.

3. Implement deep learning-based object detection and segmentation technologies in industrial images (defect detection, classification, segmentation).

4. Collaborate with the product development team to complete the technical iteration and optimization of core algorithms, driving product development and upgrades.

1.负责计算机视觉核心算法（图像分类、目标检测、图像分割等）的研发和技术落地

2.参与深度学习核心算法（CNN、RNN、GAN等）在智能终端产品上的应用开发

3.实现基于深度学习的目标检测和分割技术在工业图像上的应用（缺陷检测、分类、分割）

4.与产品开发团队协作，完成核心算法的技术迭代与优化，推动产品开发升级

requirements

1. Master's degree or above in Mathematics, Computer Science, Artificial Intelligence, Automation, or a related field.

2. Proficient in at least one programming language such as Python or C++, and familiar with the Linux working environment.

3. Familiar with at least one deep learning framework such as TensorFlow, PyTorch, or Caffe.

4. Deep understanding of core machine learning/deep learning algorithms, and a strong understanding of data structures and algorithm design.

5. Passionate about deep learning, computer vision, and related technologies, and enjoys undertaking challenging technical work.

1.硕士及以上学历，数学、计算机、人工智能、自动化等相关专业

2.精通Python、C++等至少一种编程语言，熟悉Linux工作环境

3.熟悉TensorFlow、PyTorch、Caffe等至少一种深度学习框架

4.深入理解机器学习/深度学习核心算法，对数据结构和算法设计有深刻理解

5.对深度学习、计算机视觉等技术充满激情，乐于完成具有挑战性的技术工作

Bonus Points:

1. Experience in R&D or projects in computer vision and image processing.

2. Award-winning experience in algorithm competitions such as ACM/ICPC, or publication of AI-related papers in top conferences/journals.

3. Experience in projects such as lightweight deployment of large models and embedded AI development.

1.有计算机视觉、图像处理领域的研发或项目经验

2.有ACM/ICPC等算法竞赛获奖经历，或在顶会/顶刊发表AI相关论文

3.有大模型轻量化部署、嵌入式AI开发等项目经验