2021微软Azure Machine Learning热招资深开发工程师，机会难得，速砸简历！

候选人最好是海外留学或985/211的正规全日制本科或硕士毕业后知名公司工作满3年以上，有编程建模竞赛得奖，leetcode排名或个人技术兴趣项目等。英文要听说读写熟练。工作认真负责，积极主动，能够快速学习，解决问题，团队合作能力良好。并且请确保在过去一年内，您没有在微软中国面试失败过，而且没有其他微软员工已帮您做过内部推荐。谢谢。

微软的标准面试流程是：如果简历合格，会有一小时电话面试，若通过，会再二三轮技术面试，如通过，会有1-2轮一线经理面试，然后二线经理面试，最后人力资源。每轮一个小时（视频，共享桌面，用编辑器写代码），社招面试主要关于数据结构，算法和之前项目经验，解决问题能力。务必好好准备（大多数候选人都失败在这里了），可以在谈面试日期时留出几天准备。

若满足上述条件，英文简历请发至邮箱chliu at microsoft dot com.

Microsoft’s vision for Azure Machine Learning http://azure.com/ml is to make machine learning technology accessible to every enterprise, data scientist, developer, information worker, consumer, and device, anywhere in the world. Traditional data analysis tools are no longer sufficient to draw rich insights from terabytes and petabytes of data.

We are building the Azure Machine Learning service that will make it easy for all data scientists and AI developers to create and deploy robust, scalable, and highly available machine learning solutions in the cloud. We are using the best of open-source ecosystem and innovation from inside the company and the latest breakthroughs in research and bringing them to everyone, not just companies specializing in AI and ML.

We are looking for software engineers who is passionate about designing and building a machine learning platform for on-premises, cloud, and hybrid environments. You will have an opportunity to design and scale advanced machine learning and statistical techniques to work on “big data” using a highly available distributed infrastructure. The successful candidate will bring a live-site oriented mindset, an iterative approach to services development, and an understanding of “big data” problems and solutions.

Responsibilities
This position is for an engineer focused on powering the Azure Machine Learning Services effort. As a software engineer in our organization, you'll be responsible for building the services that allow data scientists and developers to build, train, validate, deploy, and inference their machine learning models. You will be creating services to allow our customers to run model training jobs over 100s of GPUs, profile and optimize model and run model inferencing with high performance.

You will have chance to work on the design and implementation of AI software stack for existing and emerging hardware accelerators, parallel compilers, distributed runtimes, SDK for large-scale training and inferencing, and deep learning frameworks, domain libraries and tooling.

We value passion, creativity, and desire to learn new complex technical areas, agility and accountability while pivoting a team towards greater result. You will be responsible for fully understanding requirements and providing solutions that match the needs.


Qualifications
Basic Qualifications:

3+ years software design and development skills/experience (including but not limited to areas of distributed compute, UX, big data, ML model development)
Solid skills in at least one of the following programming languages: C#, Java, Python, Golang or C++
Bachelor’s degree or higher in computer science or related areas
Good communication skills, both verbal and written
Great cross-team collaboration skills
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