同花顺图像算法工程师【AIME计划】

岗位职责：
【AIME计划】同花顺正在寻找在AI领域具有潜力的顶尖人才，培养未来的技术领军人，创立AIME计划-算法专场招聘，拥有全方位的人才培养，配备丰富的前沿技术资源，获得行业领先的百万级别薪酬（80-130w），进入同花顺国家级博士后工作站。
【专场报名方式】：登陆同花顺校招官网即可报名，内推码【PR6921】可免简历筛选直通笔试，面试快人一步
【offer】：AIME计划发放正式岗位offer，可提前进入公司实习。
【岗位职责】：
负责图像算法的研发和落地，包括生成算法、3D人脸重建算法、2D虚拟人驱动算法、美颜美型算法、风格迁移算法、人像分割算法。
                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                
岗位要求：
1、硕士及以上学历，博士优先，有顶会文章发布优先。模式识别、数字图像处理、数字信号处理或计算机相关专业。
2、能够跟踪算法的最新学术进展，具备较强的论文算法复现能力。
3、具备丰富的图像相关算法经验，对相关算法原理有较深的理解，有相关算法效果在产品端完成落地优先。
4、熟悉tensorflow、keras、pytorch、caffe等主流深度学习框架中的一种或多种。
5、熟练使用python、c++中任意一种编程语言。
6、敢于尝试新方法、新思路，乐于沟通交流，具备团队协作能力和项目承压能力。
base：
杭州

薪资：
800-1000/天

投递链接：
点击此处，立即投递