微软北京、苏州 强力内推,大量HC,发我邮箱 492684076@qq.com,有发必回,HC很多
发送地址:492684076@qq.com
邮件标题:微软内推+地点+岗位+姓名+电话
邮件标题:微软内推+地点+岗位+姓名+电话
邮件附件:简历附件
面试基本流程:HR聊 + 1轮电话技术面试 + 4/5轮现场技术面试
欢迎有后端或者算法工作经验的朋友加入AI platform, 部门直推,流程非常快, 其他部门也可以内推
目前团队base北京或者苏州均可。
Job JD
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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
Preferred Qualifications:
Design and deployment of new backend services, distributed systems, public APIs
Passionate about running services for developers and end users with high availability and reliability, at scale, and delivering innovative solutions to our customers
Professional experience with Docker and Kubernetes technologies
Deep learning framework (e.g., PyTorch, TensorFlow) mechanism and implementation
GPU/CUDA programming
Microsoft is an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to age, ancestry, color, family or medical care leave, gender identity or expression, genetic information, marital status, medical condition, national origin, physical or mental disability, political affiliation, protected veteran status, race, religion, sex (including pregnancy), sexual orientation, or any other characteristic protected by applicable laws, regulations and ordinances.
Benefits/perks listed below may vary depending on the nature of your employment with Microsoft and the country where you work.
希望大家都能拿到好offer
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