The WWE Platform team is tasked with constructing one of the world's largest distributed systems to enhance Bing search and foster advancements in relevance through advanced deep learning techniques. Deep Learning Service team working on several services to support the whole WWE team to experiment and severing the new DL techniques. this role will be working on deep learning inference service and provide high available service to customers.
Preferred Qualifications
Including the qualifications above
Master’s degree or PhD in Computer Science, Engineering, Mathematics or related fields.
6+ years' experience in designing, developing and maintaining distributed computing platforms. Experience in writing high quality code and conducting code reviews.
Nice to have the experiences in Bing search or other search engine platform services, or other large scale platform services.
Nice to have knowledge for deep learning techniques and frameworks and experiences in LLM prompt engineering.
#WWE
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.
Understand User Requirements
Collaborates with appropriate stakeholders (e.g., relevance customers teams, project manager, other team members, and all other service owners) to determine user requirements for each scenario on the service gaps based on their scenarios.
Design, coding and implementation
Takes part in the discussions for the architecture of products/solutions and creates proposals for architecture by testing design hypotheses and helping to refine code plans. Provides reactions, proposed solutions, and inputs to architects.
Independently creates a clear plan for testing and assuring quality of solutions, and defines success for outcomes of tests (e.g., unit tests).
Writes extensible and maintainable code. Optimizes, debugs, refactors, and reuses code to improve performance and maintainability, effectiveness, and ROI.
Reviews the code from other team members to assure it meets the team's and Microsoft’s quality standards.
Scenario onboarding and online supporting
Collaborates closely with scenario owners to facilitate their onboarding process and offers essential support to ensure their business success.
Delivers efficient toolsets designed to enhance the platform's usability, debugging capabilities, and monitoring functionalities.
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