Software Engineer II

Excited to be a part of Microsoft's leading initiative on AI and ML? Everywhere we look, AI/ML is the buzz. Microsoft is at the forefront of this AI/ML revolution to help enterprises with platforms to make decisions, train models and learn across their product portfolio. If you like challenges and want to develop services to support AI/ML solutions to empower enterprise, organization and AI/ML practitioners to improve their products through AI, then this is your ideal opportunity. We are the AI Platform team in the Cloud and AI platform group and looking for Software Engineer II with distributed systems experience to be part of our team.

We build platforms to handle AI workloads for customers and have a significant business impact on products that ship across all Microsoft groups as well as enterprise customers. One of the key challenges with AI-platforms solutions is how to distribute, manage and connect different compute platforms, handle the provisioning, scheduling of workloads across different platforms and run the user logic in those computes in an efficient way. With the increasing demand and limited supply of GPUs, it becomes critical to handle the workloads to consume the resources efficiently. Our team within AI Platform is trying to build cloud services built on Kubernetes to solve this problem.

The area provides challenges from different fronts. The solution involves large-scale backend services, interacting with multiple types of compute targets, VM, Containers, building UX experience, and Open Source SDK. The scale of jobs being submitted, and computes being created is huge, and it needs to interface with different compute platforms. We need talents with strong system architecture, design, and implementation skills to build a scalable system, as well as experience in state-of-art machine learning practice to understand and design the best experience.

You will be part of a very strong and fun team, developing advanced and practical machine learning platforms. Here, you have the right environment and strong support to drive your favorite features to a solution. You are empowered to influence millions of end users. You will have opportunities to work together with world class developers and researchers to stay in the forefront of advancing technologies, such as machine learning, big data, deep learning, large scale models, GPT-4, OAI, online experimentation, cloud computing. 

Microsoft’s mission is to empower every person and every organization on the planet to achieve more. As employees we come together with a growth mindset, innovate to empower others, and collaborate to realize our shared goals. Each day we build on our values of respect, integrity, and accountability to create a culture of inclusion where everyone can thrive at work and beyond.

In alignment with our Microsoft values, we are committed to cultivating an inclusive work environment for all employees to positively impact our culture every day.

Required Qualifications :

• Bachelor's Degree in Computer Science or related technical field AND 2+ years technical engineering experience with coding in languages including, but not limited to, C, C++, C#, Java, JavaScript, or Python                                                                                                                    OR equivalent experience.
• 1+ years experience in design, development and running high-scale platforms.

Other Requirements:

• Ability to meet Microsoft, customer and/or government security screening requirements are required for this role. These requirements include but are not limited to the following specialized security screenings: Microsoft Cloud Background Check: This position will be required to pass the Microsoft Cloud Background Check upon hire/transfer and every two years thereafter.

Preferred Qualifications:

• Knowledge in web services, distributed systems ,Rest APIs, C#, .NET, Python.
• Experience with test driven software design/development.

Software Engineering IC3 - The typical base pay range for this role across the U.S. is USD $98,300 - $193,200 per year. There is a different range applicable to specific work locations, within the San Francisco Bay area and New York City metropolitan area, and the base pay range for this role in those locations is USD $127,200 - $208,800 per year.

Certain roles may be eligible for benefits and other compensation. Find additional benefits and pay information here:

https://careers.microsoft.com/us/en/us-corporate-pay

Microsoft will accept applications for the role until September 20, 2024.

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.  We also consider qualified applicants regardless of criminal histories, consistent with legal requirements. 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.

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

We are looking for experienced engineers to take the path ahead for services to support machine learning solutions, work on highly distributed platforms with 24x7x365 service availability and tight SLA and build comprehensive and intuitive end-end solutions to delight our customers.

• Work on the architecture, design and development of the core compute services powering AzureML to tackle challenging AI problems using state-of-the-art neural models such as GPT4 and OSS models.
• Develop, test and maintain backend services written in C# hosted on Kubernetes clusters and Docker containers.
• Support multiple consumption of APIs through python SDK, CLI, UX.
• Enhance systems and applications to ensure high stability, efficiency, & maintainability, low latency, tight cloud security.
• Develop and foster a deep understanding of the machine learning systems and concepts and their usage by customers.
• Collaborate closely with engineers, data scientists within the team, internal Microsoft Research teams and external enterprises to build better solutions together.
• Provide vision, expertise, and technical leadership to other team members.  
• Help to grow talent in these areas.

Other:

• Embody our Culture and Values