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招聘 | 微软应用科学家招聘!

招聘 | 微软应用科学家招聘!

4月前


MLNLP社区是国内外知名的机器学习与自然语言处理社区,受众覆盖国内外NLP硕博生、高校老师以及企业研究人员。
社区的愿景是促进国内外自然语言处理,机器学习学术界、产业界和广大爱好者之间的交流和进步,特别是初学者同学们的进步。

点击阅读原文访问官方申请链接!简要信息如下图所示:

Overview

Want to work on an area in developing AI technologies in Microsoft Bing? Get excited when you think about new search technologies in the era of large language models? If you think you have the competency and passion to work with some smart people building the cutting-edge AI technology projects. Our Search Applied Science team is looking for motivated and talented individuals at various career stages of their careers to work on the latest AI innovation and multiple user scenarios like search, recommendation, etc.

Responsibilities

As an Applied scientist, you will play a critical role in the team. You will need to understand the design, code and features of many different scenarios and AI innovation, quickly come up to speed and deliver ideas/model via this intuitiveness, attention to detail and responsiveness. You must be able to have deep understanding in model training, sensitivity to data and enthusiasm to AI techniques. You should be able to analyze the problem/data, design the algo/model with correct metrics and drive the plan independently. You must have good partnership and influencing skills to be able to work across multiple teams.

Qualifications

1. A BS/MS or PhD degree in Engineering, Computer Science, Mathematics or related field.
2. Expertise or solid experience in machine learning, data mining, NLP, or deep model training frameworks (e.g., Pytorch).
3. Experience in large language models, information retrieval, or recommendation is a big plus.
4. At least 2+ years of experience programming in Python, C++/C# and/or other computer programming languages preferred.
5. Ability to derive creative and innovative solutions by thinking "outside the box".

Benefits/perks

Benefits/perks listed below may vary depending on the nature of your employment with Microsoft and the country where you work.

1. Industry leading healthcare

2. Educational resources

3. Discounts on products and services

4. Savings and investments

5. Maternity and paternity leave

6. Generous time away

7. Giving programs

8. Opportunities to network and connect


关于我们

MLNLP 社区是由国内外机器学习与自然语言处理学者联合构建的民间学术社区,目前已经发展为国内外知名的机器学习与自然语言处理社区,旨在促进机器学习,自然语言处理学术界、产业界和广大爱好者之间的进步。
社区可以为相关从业者的深造、就业及研究等方面提供开放交流平台。欢迎大家关注和加入我们。

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来源:机器学习算法与自然语言处理

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