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recruit.html
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<!doctype html>
<html>
<head>
<meta charset='UTF-8'><meta name='viewport' content='width=device-width initial-scale=1'>
<title>recruit</title><link href='https://fonts.loli.net/css?family=Open+Sans:400italic,700italic,700,400&subset=latin,latin-ext' rel='stylesheet' type='text/css' /><style type='text/css'>html {overflow-x: initial !important;}:root { --bg-color:#ffffff; --text-color:#333333; --select-text-bg-color:#B5D6FC; --select-text-font-color:auto; --monospace:"Lucida Console",Consolas,"Courier",monospace; }
html { font-size: 14px; background-color: var(--bg-color); color: var(--text-color); font-family: "Helvetica Neue", Helvetica, Arial, sans-serif; -webkit-font-smoothing: antialiased; }
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<div id='write' class = 'is-node'><h3><a name="旷视上海研究院招聘说明" class="md-header-anchor"></a><span>旷视上海研究院招聘说明</span></h3><p><span>实习生，校招和社招的通道将长期开放。</span></p><p><span>有意向的候选人请投简历至： </span><a href='mailto:weiyichen@megvii.com'><span>weiyichen@megvii.com</span></a><span>，并标明主题“旷视上海研究院工作申请”或者“旷视上海研究院实习申请”。</span></p><h4><a name="目前方向" class="md-header-anchor"></a><span>目前方向</span></h4><p><span>在偏产品的层面，目前侧重于人脸识别，物体检测，跟踪，ReID，图像检索等。同时包括核心技术研究和产品支持。 </span></p><p><span>在偏科研层面，则没有什么限制。 </span></p><h4><a name="招聘要求" class="md-header-anchor"></a><span>招聘要求</span></h4><p><span>下面是对于科研和工程两方面的工作描述。</span></p><p><span>注意研究院并不严格划分这两类岗位，实际工作中可能有混合和调整，分开描述仅便于参考。</span></p><h5><a name="研究员" class="md-header-anchor"></a><span>研究员</span></h5><p><span>职责</span></p><ul><li><span>持续改进视觉核心算法</span></li><li><span>理解商业场景对于算法和数据的需求，推动数据的采集和算法的落地</span></li></ul><p><span>要求</span></p><ul><li><p><span>自学能力强，善于独立思考，沟通表达能力强</span></p></li><li><p><span>具有基础图像处理，机器学习和深度学习知识</span></p></li><li><p><span>使用过深度学习框架（Caffe, TensorFlow,MXNet, PyTorch等）优先</span></p></li><li><p><span>有图形学或者3D视觉背景，使用过OpenGL, Point Cloud Library, Open3D等框架优先</span></p></li><li><p><span>有相关科研经历优先（如有CV/ML顶会论文）-</span></p></li><li><p><span>研究算法的方向包括但不限于</span></p><ul><li><span>3D问题（stereo matching， SLAM，3D重建等）</span></li><li><span>物体（含人脸，行人）检测，识别，属性</span></li><li><span>物体关键点检测和跟踪（人脸，人体，手势等）</span></li><li><span>图像检索</span></li><li><span>神经网络架构优化（压缩，剪枝，搜索等）</span></li><li><span>迁移学习；小样本学习；主动学习</span></li><li><span>对抗生成网络</span></li><li><span>强化学习</span></li></ul></li></ul><h5><a name="算法工程师" class="md-header-anchor"></a><span>算法工程师</span></h5><p><span>职责</span></p><ul><li><span>应用机器学习技术，针对大数据建模，结合业务需求，研发创新产品；</span></li><li><span>结合具体业务实际问题，对算法进行优化；</span></li><li><span>开发支持内部业务的工具和技术平台</span></li></ul><p><span>要求</span></p><ul><li><span>对于涉及到的算法有足够兴趣和了解</span></li><li><span>熟练使用Git</span></li><li><span>能够使用Python实现预定的算法逻辑，并进行调优工作</span></li><li><span>能够使用sklearn、numpy、scipy、matplotlib等常用库</span></li><li><span>熟悉数据可视化优先</span></li><li><span>具备分布式算法设计和实现经验优先</span></li><li><span>具备分布式相关项目经验，分布式系统、分布式存储、分布式数据仓库合作开发项目经验优先（例如Hadoop、Spark、SparkML、Hbase等）优先</span></li><li><span>具备网页前后端技能优先</span></li><li><span>有产品开发经验者优先</span></li></ul></div>
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