m********u 发帖数: 3942 | 1 这个职位应该会有出差。。。 感兴趣可以站内或者邮件 [email protected]
Staff Algorithm Engineer-Personalized Search/Recommendation Algorithm&Supply
Chain Optimization&Control Theory&Merchant Date Analysis Platform
Responsibility
1. Responsible for algorithm R&D of Search Technology Team in Seattle &
Hangzhou Office: develop new algorithms for improving search/recommendation
revenue, and quality of the whole e-commerce ecosystem;
2. Responsible for analyzing and predicting buyers & sellers behaviors to
explore key factors underlying the ecosystem: upgrade our personalized
search/recommendation retrieval & ranking algorithms in order to accelerate
the joint Personalized Search/Recommendation Algorithm&Supply Chain
Optimization&Control Theory&Merchant Date Analysis Platform growth of the
buyers, sellers and platform; apply deep learning, reinforcement learning,
user & merchandise embedding, multi-task learning and transfer learning
technology to various search & recommendation problems; build a unfied large
-scale recommendation engine for our marketing activities.
3. Responsible for developing supply-chain related algorithms to help
sellers reduce cost: design algorithms for sales prediction, logistics
prediction, and inventory control; design algorithms based on control theory
and operations research to effectively allocate search traffic for various
business purposes.
4. Responsible for building an intelligent business analysis & decision
platform: design and implement the large-scale data statistics, analysis,
prediction algorithms to help merchants make wiser business decisions, and
to make the operating of the ecosystem more intelligent.
Requirements:
1. Master or PhD degree in computer science, signal processing, control
theory, game theory, operations research, statistics, or equivalent fields;
2. Solid theoretical foundations and industry experiences in machine
learning, personalized search & recommendation, user/seller behavior
modeling, sales prediction, supply chain optimization, marketing algorithm,
large scale data analysis/platforms. Expertise in deep learning,
reinforcement learning, explore & exploit algorithms, control theory is
preferred;
3. Solid programming skills in C++, Java & Python; Experience in distributed
computing environments such as BSP¿MPI¿Parameter Serve,
Tensorflow, Caffe is preferred.
4. Passionate about technology, demonstrated ability to generate new ideas
and innovations; Excellent in self-learning, problem analyzing and solving;
Proactive, strong teamwork spirit and communication skills. | m********u 发帖数: 3942 | | s*******i 发帖数: 406 | 3 求教一下算法工程师到底是做什么的?
设计算法??经典的算法或者结构都是大学实验室出来的吧。
基于理论的构建是基础设施工程师的工作。
这个算法工程师到底和其他工程师有什么区别。一直想了解一下。 |
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