Microsoft AI platform is the next generation cloud business positioned to address the growing AI market. We are on the verge of an AI revolution and have a tremendous opportunity to empower our partners and customer to harness the full power of AI responsibly. AML offers a fully managed AI platform to accelerate the research, development, and operations of AI powered intelligent solutions at scale.   

This position with ML Lifecycle Team is responsible for delivering on this promise by enabling a cohesive ML experience leveraging AI Framework, AI infrastructures, and AI semantic aware workflow to power the end-to-end ML lifecycle experience. You will have the opportunity to work with the leading AI research, OSS community, in-house AI research, AI framework and data science community. You will get to influence and integrate with the latest hardware, and distributed infrastructures to provide a turnkey managed experience to power some of the industry's largest AI workloads.  

Responsibilities

• Build, deliver, and support high-quality distributed services, infrastructures, and components to power the ML experience.  
• Partner with the company's Data Science community and across the industry to inspire, learn, and streamline their ML experience.  
• Partner effectively with functional leader counterparts (EN, PM, Design) across AML and outside of our division (e.g., Bing, Office) to ensure ongoing alignment, engineering dependencies, and build solutions for other groups.   
• Provide technical leadership, vision, and manage relationships and requirements with downstream platform teams.   
• Drive product execution with clarity, including translating abstract problem statement into a high-quality product strategy and design.  
• Lead, attract, grow, and retain strong talent.  

Qualifications

• A Bachelors or Master’s degree in Computer Science, or a related field, or equivalent alternative education, skills, and/or practical IT work experience is required. 
• 10+ years of hands-on engineering experience (both as engineer and manager) working through the full product cycle from initial architecture design to final product delivery and support.   
• 5+ years of leadership experience, with demonstrated ability to lead, motivate, and build results-oriented large (10+) development teams.    

Preferred Qualifications:   

• Experience in building large scale GA service and platform.   
• Experience with AI platforms, frameworks, and data science is preferred but not required.  
• Experience with shipping software in SaaS model.   
• Experience working for international corporations (like Microsoft) is preferred.    
• Demonstrated ability to create a supportive work environment for career and personal development.   
• Excellent interpersonal, verbal, and written English communication skills, including communication with executives overseas.   
• Strong negotiation and conflict resolution skills.   

#AIPlatform# 

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.

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

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.