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 the 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 process big datasets, run model training jobs over 100s of GPUs and run model inferencing with high performance.

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:
5+ years software design and development skills/experience
Knowledge in C#, Java, Python and system programing
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 back end 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

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. If you need assistance and/or a reasonable accommodation due to a disability during the application or the recruiting process, please send a request via the Accommodation request form.