算法研究员求职简历

算法研究员求职简历模板使用便捷-高效-实用，高效提升求职效率，做高质量简历就用锤子简历。

.resume_main[data_color] .skill_item .skill_slider span::before{background-color:${color};} .resume_main[data_color] .skill_slider s i{background-color:${relative_skill_color};} .resume_main[data_color] .skill_style_01.skill_item .skill_slider s {border-color:${relative_skill_color};} .resume_main[data_color] .skill_style_01.skill_item .skill_slider s i{background-color:${relative_skill_color};} .resume_main[data_color] .skill_style_04.skill_item .skill_slider[data_level="average"] i,.resume_main[data_color] .skill_style_07.skill_item .skill_slider[data_level="average"] i{box-shadow:24px 0 0 ${relative_skill_color}, 48px 0 0 #ccc, 72px 0 0 #ccc, 96px 0 0 #ccc, 120px 0 0 #ccc;} .resume_main[data_color] .skill_style_04.skill_item .skill_slider[data_level="good"] i,.resume_main[data_color] .skill_style_07.skill_item .skill_slider[data_level="good"] i{box-shadow:24px 0 0 ${relative_skill_color}, 48px 0 0 ${relative_skill_color}, 72px 0 0 #ccc, 96px 0 0 #ccc, 120px 0 0 #ccc;} .resume_main[data_color] .skill_style_04.skill_item .skill_slider[data_level="advanced"] i,.resume_main[data_color] .skill_style_07.skill_item .skill_slider[data_level="advanced"] i{box-shadow:24px 0 0 ${relative_skill_color}, 48px 0 0 ${relative_skill_color}, 72px 0 0 ${relative_skill_color}, 96px 0 0 #ccc, 120px 0 0 #ccc;} .resume_main[data_color] .skill_style_04.skill_item .skill_slider[data_level="expert"] i,.resume_main[data_color] .skill_style_07.skill_item .skill_slider[data_level="expert"] i{box-shadow:24px 0 0 ${relative_skill_color}, 48px 0 0 ${relative_skill_color}, 72px 0 0 ${relative_skill_color}, 96px 0 0 ${relative_skill_color}, 120px 0 0 #ccc;} .resume_main[data_color] .skill_style_08.skill_item .skill_slider[data_level="average"] i{box-shadow:9px 0 0 ${relative_skill_color}, 18px 0 0 ${relative_skill_color}, 27px 0 0 ${relative_skill_color}, 36px 0 0 ${relative_skill_color}, 45px 0 0 ${relative_skill_color},54px 0 0 #ccc,63px 0 0 #ccc,72px 0 0 #ccc,81px 0 0 #ccc;} .resume_main[data_color] .skill_style_08.skill_item .skill_slider[data_level="good"] i{box-shadow:9px 0 0 ${relative_skill_color}, 18px 0 0 ${relative_skill_color}, 27px 0 0 ${relative_skill_color}, 36px 0 0 ${relative_skill_color}, 45px 0 0 ${relative_skill_color},54px 0 0 ${relative_skill_color},63px 0 0 #ccc,72px 0 0 #ccc,81px 0 0 #ccc;} .resume_main[data_color] .skill_style_08.skill_item .skill_slider[data_level="advanced"] i{box-shadow:9px 0 0 ${relative_skill_color}, 18px 0 0 ${relative_skill_color}, 27px 0 0 ${relative_skill_color}, 36px 0 0 ${relative_skill_color}, 45px 0 0 ${relative_skill_color},54px 0 0 ${relative_skill_color},63px 0 0 ${relative_skill_color},72px 0 0 #ccc,81px 0 0 #ccc;} .resume_main[data_color] .skill_style_08.skill_item .skill_slider[data_level="expert"] i{box-shadow:9px 0 0 ${relative_skill_color}, 18px 0 0 ${relative_skill_color}, 27px 0 0 ${relative_skill_color}, 36px 0 0 ${relative_skill_color}, 45px 0 0 ${relative_skill_color},54px 0 0 ${relative_skill_color},63px 0 0 ${relative_skill_color},72px 0 0 ${relative_skill_color},81px 0 0 #ccc;} .resume_main[data_color] .hobby_item .hobby_item_con .hobby_item_list a.alifont{border-color:${relative_hobby_color};color:${relative_hobby_color}; } /* �� */ .resume_main[data_color] .resume_cover .cover_html svg [data-svg="fill"] {fill:${color};} .resume_main[data_color] .resume_cover .cover_html svg [data-svg="stroke"] {stroke:${color};} .resume_main[data_color] .resume_letter .letter_html svg [data-svg="fill"] {fill:${color};} .resume_main[data_color] .resume_letter .letter_html svg [data-svg="stroke"] {stroke:${color};} .resume_main[data_color] .resume_letter .letter_html svg [data-fill="fill"] {fill:${color};} .resume_main[data_color] .resume_cover[data-type="07"] .resume_cover_avatar{border-color: ${color};} .resume_main[data_color] .resume_cover[data-type="07"] .resume_cover_content{background:${color}} .resume_main[data_color] .resume_cover[data-type="07"] .cover_item_list a.alifont{color: ${color};} .resume_main[data_color] .resume_cover[data-type="08"] .resume_cover_content::after{background:${color}} .resume_main[data_color] .resume_cover[data-type="09"] .resume_cover_content{background:${color}} .resume_main[data_color] .resume_cover[data-type="09"] .cover_item_list a.alifont{color: ${color};} .resume_main[data_color] .resume_cover[data-type="10"]{background-color:${color}} .resume_main[data_color] .resume_cover[data-type="11"] .resume_cover_content{background-color:${color}} .resume_main[data_color] .resume_cover[data-type="14"]{background-color:${color}} .resume_main[data_color] .resume_cover[data-type="15"]{background-color:${color}} .resume_main[data_color] .resume_cover[data-type="19"] .resume_cover_word::before{background-color:${color}} .resume_main[data_color] .resume_cover[data-type="20"]{background-color:${color}} .resume_main[data_color] .resume_letter[data-type="06"]{background-color:${color}} .resume_main[data_color] .resume_letter[data-type="12"]{background-color:${color}}

 头像: 隐藏

编辑

["sex","age","nation","education","marriageStatus","politicalStatus","city","jobYear","mobile","email"]

 基本信息: 女

28岁



本科

未婚

中共党员



4年经验

13800138000

BD@100chui.com

 姓名: 锤子简历

梦想每个人都有，但不是每个人都有勇气去坚信，我有!

 求职意向: 
算法研究员


广州


面议


随时到岗

 教育背景: 2014.09 - 2018.06

锤子简历大学

计算机与信息技术

GPA：3.72/4（专业前10%）
GRE：324

 工作经验

2019年12月 - 至今

锤子简历信息有限公司

算法研究员

优化机器学习、自然语言处理、深度学习算法，通过算法研究实现3个模块部分功能实现：如近义词生成、自动生成报告、搜索排序等任务，3个功能为系统自动化提供了代码支持，提商程序运行效率30%，减少人为操作工作量30%;
设计语言程型，用干语音识别给果的籍说，都助提升了语音识别效果，训给并优化分调檬型，栏型日1值达到96%，能够对有条的句子进行准确分词。构建命名体识别模型，模型F1值达到91%。能有效识别人名、地名、组织机构名等实体用于智能门禁产品中、优化意圈识别样型，意困识别准确率达到98%，能够准确识别客户说话的意困；
使用pandas开发3个回测框架，对技术指标及其组合、网格交易进行回测与调优，使用趋势指标改进传统网格策略，基于VNPY 编写，实盘优于传统网将，提高网格产盖率30%，提高运行效率40%。

2018年3月 - 2019年12月

锤子简历科技有限公司

算法研究员

图像增强处理，支持腾讯会议虚拟背景功能，训练Unct结构的小型实时人像分割网络，在自建测试集上平均精度为98.6%，平均精度为92.3%，实现代化多个方演用干提升分到稳定性与体验补果，调过生法手段设计，提高图像处理稳定性30%；
训练平台设计，训综集成比较流行的ImagcNet预训练模型，打通数据平台，提商数据转化率50%以上，实现一键训练与模型选代、集成部门内在分类、检测、配准、生成任务上的名种SOTA方法至平台，相关样太精度由72.9%提升至81.2%；
通过算法系统优化为开发团队赋能。包括网络络构和训练方法的优秀训练方法与模型、注立工作部门SOP，提商部门工作效率 34%，提升算法人员至少20%的开发速度，减低算法开发门槛，提商算法60%的开发速度，解决长尾需求。

 项目经验

2021年3月 - 2021年11月

项目工程

算法研究员

利用MATLAB软件对任意的采美困像进行预处理(对13个特征占进行加码)，消除假的特征占26个。利用圈像的动统和分叉占作为最终特征点，提取其特征点坐标和方向作为输入向量。并和其他算法的输出特征相比较。预处理增强效率商于其他输出特征32%;
为解决控制系统不稳定的问题，自行设计一种基于PLC的控制系统，以可编程控制器PLC作为设备控制器，通过OPC与加速器控制系统通用软件Iabuicw结合，提商软件控制稳定性32%，得到的数据经过PID相关算法优化，伏化后数据尺寸缩小43%，精准分类率提高13%。

 自我评价: 本人有电工进网作业许可证，对待工作踏实，认真，并且极富工作和团队精神，因此在工作和生活中结交了许多朋友，具有良好的适应性和熟练的沟通技巧。综合素质佳，能够吃苦耐劳，忠诚稳重坚守诚信正直原则，感谢您在百忙之中阅览我的简历，静候佳音！