
文远知行General Software/Algorithm Engineer - Singapore
任职要求
WeRide (Singapore) is the SEA HQ of Weride. Founded in the silicon valley of US in 2017, WeRide is a smart mobility start-up whose mission is to transform mobility with autonomous driving. We are committed to build better transportation experience that’s safe, efficient, affordable and joyful. We have an elite team of entrepreneurs and technologists who share the same passion and pursue continuous excellence in their work.
WeRide (Singapore) is looking for world class coders to work on transforming mobility by solving some of the most challenging AI and robotics problems. You will work with world-class experts in the field of mobility solutions and advance the state of the art in areas such as computer vision, sensor fusion, machine learning, object tracking, backend/Infrastructure and motion planning.
Requirements
BS/MS/PhD degree in Robotics, Computer Science,…工作职责
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Team Introduction: Data AML is ByteDance's machine learning middle platform, providing training and inference systems for recommendation, advertising, CV (computer vision), speech, and NLP (natural language processing) across businesses such as Douyin, Toutiao, and Xigua Video. AML provides powerful machine learning computing capabilities to internal business units and conducts research on general and innovative algorithms to solve key business challenges. Additionally, through Volcano Engine, it delivers core machine learning and recommendation system capabilities to external enterprise clients. Beyond business applications, AML is also engaged in cutting-edge research in areas such as AI for Science and scientific computing. Research Project Introduction: Large-scale recommendation systems are being increasingly applied to short video, text community, image and other products, and the role of modal information in recommendation systems has become more prominent. ByteDance's practice has found that modal information can serve as a generalization feature to support business scenarios such as recommendation, and the research on end-to-end ultra-large-scale multimodal recommendation systems has enormous potential. It is expected to further explore directions such as multimodal cotraining, 7B/13B large-scale parameter models, and longer sequence end-to-end based on algorithm-engineering CoDesign. Engineering research directions include: Representation of multimodal samples Construction of high-performance multimodal inference engines based on the PyTorch framework Development of high-performance multimodal training frameworks Application of heterogeneous hardware in multimodal recommendation systems 1. Algorithmic research directions include: 2. Design of reasonable recommendation-advertising and multimodal cotraining architectures 3. Sparse Mixture of Experts (Sparse MOE) 4. Memory Network 5. Hybrid precision techniques 团队介绍: Data AML是字节跳动公司的机器学习中台,为抖音/今日头条/西瓜视频等业务提供推荐/广告/CV/语音/NLP的训练和推理系统。为公司内业务部门提供强大的机器学习算力,并在这些业务的问题上研究一些具有通用性和创新性的算法。同时,也通过火山引擎将一些机器学习/推荐系统的核心能力提供给外部企业客户。此外,AML还在AI for Science,科学计算等领域做一些前沿研究。 课题介绍: 大规模推荐系统正在越来越多的应用到短视频、文本社区、图像等产品上,模态信息在推荐系统中的作用也越来越大。 字节实践中发现模态信息能够很好的作为泛化特征支持推荐等业务场景,端到端的超大规模多模态推荐系统的研究具有非常大的想象空间。 期望在算法和工程CoDesign基础上,对多模态Cotrain、7B/13B大规模参数模型、更长序列端到端等方向进一步进行探索。 工程上研究方向包括多模态样本的表征、基于 pytorch 框架的高性能多模态推理引擎、高性能多模态训练框架的构建、异构硬件在多模态推荐系统上的应用;算法上的研究方向包括设计合理的推荐广告和多模态Cotrain结构、Sparse MOE、Memory Network、混合精度等。 1、负责机器学习系统架构的设计开发,以及系统性能调优; 2、负责解决系统高并发、高可靠性、高可扩展性等技术难关; 3、覆盖机器学习系统多个子方向领域的工作,包括:资源调度、任务编排、模型训练、模型推理、模型管理、数据集管理、工作流编排、ML for System等; 4、负责机器学习系统前瞻技术的调研和引入,比如:最新硬件架构、异构计算系统、GPU优化技术的引入落地; 5、研究基于机器学习方法,实现对集群/服务资源使用情况的分析和优化。
请注意,申请此实习岗位需要满足如下条件: 毕业时间:26年底至27年9月之间毕业 面试时间:26年1月开始 入职日期:26年3月-6月 实习时间:一周实习3-5天,至少持续6个月 工作地点:上海市 简历要求:请提供中英双语简历(放在一个文件中) 投递须知: 1 填写简历申请时,请把必填和非必填项都填写完整。提交简历之后就无法修改了哦! 2 学校的英文全称请准确填写。 3 校招信息请参考校园招聘申请手册:https://amazonexteu.qualtrics.com/CP/File.php?F=F_55YI0e7rNdeoB6e Amazon is seeking a talented System Development Engineer Intern to help us to build a big data analysis system, which will be served for Amazon Devices group. As a System Development Engineer intern, you will specialize in building web user interface for data analysis and visualization, develop robust and scalable back-end system on AWS that works seamlessly with the web applications that will be used by our internal customers and external partners. You will bring your expertise and ideas in the areas of web programming, user interface design, data processing and visualization, web application and AWS architecture to help our fast-paced devices production projects. If you're interested in web programming, big data, AWS, Amazon Devices, enjoy to build a whole new system, collaborate with smart people, come and join us. We need you: -Proficiency in at least one programming language (Python, Java, C++, or Golang). -Strong foundation in data structures, algorithms, and computer networks. -Basic understanding of one frontend frameworks such as React or Vue. -Experience with cloud-based development on AWS. Understanding of Generative AI, Large Language Models (LLMs), or experience in related application development.