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Do you like working on technology problems which impact people on a global scale? Are you interested in creating brand new collaborative experiences by state-of-the-art machine learning models for a rapidly evolving and expanding machine-learning empowered products? 

Bing multimedia group in web-experiences organization is responsible for developing global image & video feeds, search and browsing experiences in Bing, and also contributes to Windows, Edge, Azure, MSN, etc., which is the largest vertical in Bing to contribute DAU & engagements, we are a global team with offices in Beijing, Suzhou, as well as Bellevue/USA, Canada & Europea, and with flexible work spaces and work time.

Video search team in Bing multimedia group is accountable for all the video products in Microsoft, including Bing video search, and video feeds in Edge browser, Windows, Bing, as well as related-videos that empower all the contents in web-experiences organization, Bing web search results, news feeds, shopping products. Video product is one shinning rapidly growing product in Microsoft, enabled in 100+ markets in the world, we are leveraging state-of-the-art LLM techniques to build modern and future video search products!

We are hiring talented, highly motivated applied scientists with expertise in search engine, and recommendation system, deep learning, natural language processing, information retrieval, computer vision, reinforcement learning, data mining, and large-scale distributed computation.  

Responsibilities

You will be self-driven and accountable for search engine, recommendation system problems, collaborating with partners within the team or distributed globally, leveraging the state-of-the-art models and strategies to improve our metric driven targets. as a member of our team you will design, develop, evaluate & deploy machine learning models, as well as corresponding metrics/measurements, online & offline pipelines, and integrate into production runtimes. You need to closely work together with our top machine learning scientists/researchers nearby and remotely,  build our core machine learning horsepower,  contribute to billion scale machine learning systems, and improve our video products(including video search, video feeds, related videos, etc.) in Microsoft Bing & Windows & Edge, etc...

Qualifications

tracking records of delivering strong impacts in search engine, recommendation system, it’s a plus to have strong experiences in large scale search engine products;

• familiar with common search stack, recommendation algorithms, query, user & content understanding, recall/ranking/exploration models;

-familiar with the roadmaps/strategies to grow search, feeds quality, engagements/users, monetization;

• familiar with e2e machine learning development cycle, from model measurements / training/ evaluation, to optimization/deployment, etc.; 

• Experiences in one of these domains: search engine, recommendation systems, computer vision, deep-learning, natural language processing; 

• Experiences in one of these training frameworks: Pytorch, Tensorflow, etc., and LLM/ChatGPT is a plus;

• Experiences in one of these programming languages: Python, C++, C#, etc.; 

• Experiences in big data mining, familiar with Hadoop/Spark is a plus; 

• Solid Communication/Collaboration skills to work with team members across global; 

• MS/PhD degree in Computer Science or a related discipline. 

Microsoft is an equal opportunity employer. Consistent with applicable law, all qualified applicants will receive consideration for employment without regard to age, ancestry, citizenship, color, family or medical care leave, gender identity or expression, genetic information, immigration status, marital status, medical condition, national origin, physical or mental disability, political affiliation, protected veteran or military status, race, ethnicity, religion, sex (including pregnancy), sexual orientation, or any other characteristic protected by applicable local laws, regulations and ordinances. If you need assistance and/or a reasonable accommodation due to a disability during the application process, read more about requesting accommodations (https://careers.microsoft.com/v2/global/en/accessibility.html) .