We (Bing Multimedia Team) are on a mission to reinvent image and video search in LLM era and make Bing the best place to search, create and consume media content.
Bing Multimedia team at Microsoft AI is responsible for all aspects of image and video related system, data and ML, and experience includes image search, video search, visual search, Bing image creator (generative AI tool), Bing SERP image and video enrichment including image/video answers, entity image/video, algo rich caption image etc. We own E2E stack from index to ranking to experience, and work closely with platform team and other Bing team to deliver delightful and quality media experience to user across Bing, and drive monetization and revenue.
We are an interdisciplinary team of data and applied scientists, engineers (ux and infrastructure) and product managers, learning from each other, and collaborating to create the best models/infra/experience and ultimately best products.
We are looking for a **Principal Applied Scientist** and technical leader who will work directly under VP of Bing Multimedia, and excited about defining and executing AI technical roadmap to redefine next generation of media search system in the LLM era, and make Bing the best place to search, consumes and create media content. In particular, we are looking for candidates who:
Are passionate about the role that advances the state of the art, develop and integrates cutting-edge AI technologies into Image and Video searches, and shapes strategic innovations
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.
**Responsibilities**
+ Drive product innovation by leveraging and innovating state of art solutions to reinvent image and video search in LLM era and achieve competitive differentiations and user delight as well as business feasibility.
+ Collaborate effectively across team/org/discipline to define AI technical roadmap and drive alignment and shape Stategic direction on next generation image and video search product.
+ Oversee AI technical roadmap execution and anticipates future needs as well as potential issues, and drives forward-looking, scalable solutions to deliver product impact at a global level.
+ Develop tools, methods, and models at a fundamental level to address long-term industry challenges.
+ Commit to a customer-oriented focus by acknowledging customer needs and perspectives, validating customer perspectives, focusing on broader customer context, and serving as a trusted advisor.
+ Conduct thorough technical review across existing AI technical stack and identify opportunities to improve.
**Qualifications**
**Required Qualifications:**
+ Bachelor's Degree in Statistics, Econometrics, Computer Science, Electrical or Computer Engineering, or related field AND 8+ years related experience (e.g., statistics, predictive analytics, research)
+ OR Master's Degree in Statistics, Econometrics, Computer Science, Electrical or Computer Engineering, or related field AND 6+ years related experience (e.g., statistics, predictive analytics, research)
+ OR Doctorate in Statistics, Econometrics, Computer Science, Electrical or Computer Engineering, or related field AND 5+ years related experience (e.g., statistics, predictive analytics, research)
+ OR equivalent experience.
+ 4+years experience working with large scale information retrieval or AI system and writing and shipping production-quality code.
+ 4+years Experience as a Machine Learning Architect
+ Excellent collaboration skills working across multiple teams to deliver results
+ Expereince with image, video or text search using LLM
**Preferred Qualifications:**
+ 7+ years experience developing and deploying products or systems at multiple points in the product cycle from ideation to shipping.
+ 7+ years experience conducting research as part of a research program (in academic or industry settings).
+ 5+ years experience developing and deploying live production systems, as part of a product team.
+ 3+ years experience presenting at conferences or other events in the outside research/industry community as an invited speaker.
Applied Sciences IC6 - The typical base pay range for this role across the U.S. is USD $161,600 - $286,200 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 $209,600 - $314,400 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 December 30, 2024
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 ) .

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The Product Ads Algorithm & Infrastructure team in Ads Understanding team is hiring an Applied Scientist II. The team is responsible for product ads selection, relevance, modeling, and online infrastructure for serving and experimenting cutting edge algorithms, ranging from natural language processing (NLP) to information retrieval, computer vision, etc. The team leverages heavily on deep learning methodologies to build solutions to meet the Commerce Strategy of Microsoft, where Product Ads is at the center of it! We are looking for a passionate scientist to deliver an amazing shopping experience with our multi-modal models backing it up.Online Advertising is one of the fastest growing businesses on the Internet today, with about $70 billions of a $600 billion advertising market already online. Search engines, web publishers, major ad networks, and ad exchanges are now serving billions of ad impressions per day and generating terabytes of user events data every day. Rapid online advertising growth has created enormous opportunities and technical challenges that demand computational intelligence. Computational Advertising has emerged as a new interdisciplinary field that involves information retrieval, machine learning, data mining, statistics, operations research, and micro-economics, to solve challenging problems that arise in online advertising. The central problem of computational advertising is to select an optimized slate of eligible ads for a user to maximize a total utility function that captures the expected revenue, user experience and return on investment for advertisers. Microsoft is innovating rapidly in this space to grow its share of this market by providing the advertising industry with the state-of-the-art online advertising platform and service. Microsoft Ads Relevance and Revenue (RnR) team is at the core of this effort, responsible for research & development of all the algorithmic components in our advertising technology stack, including:* User/query intent (text and image) understanding, document/ad understanding, user targeting - Relevance modeling, IR-based ad retrieval* User response (click & conversion) prediction using large scale machine learning algorithms - Marketplace mechanism design and optimization, and whole-page experience optimization - Personalization* Innovative new ads products* Network protection, fraud detection, traffic quality measurement* Advertising metrics and measurement, including relevance and ad campaign effectiveness* Data mining and analytics* Supply-demand forecasting* Ad campaign planning and optimization* Experimentation infrastructure including tools for configuring and launching experiments, dashboard, live marketplace monitoring, and diagnosis.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.Required Qualifications:* Bachelor's Degree in Statistics, Econometrics, Computer Science, Electrical or Computer Engineering, or related field AND 2+ years related experience (e.g., statistics, predictive analytics, research)* OR Master's Degree in Statistics, Econometrics, Computer Science, Electrical or Computer Engineering, or related field AND 1+ year(s) related experience (e.g., statistics, predictive analytics, research)* OR Doctorate in Statistics, Econometrics, Computer Science, Electrical or Computer Engineering, or related field* OR equivalent experience.* 2+ years working experience in statistical natural language processing (NLP) with latest deep learning technologies including transformer and LLMs* OR 2+ years working experience in Computer Vision (CV) with latest deep learning technologies including Vision Transformers.* 2+ years working experience with coding in production systems using c++, c#, Jaya or Python.Preferred Qualifications:* Doctorate in Statistics, Econometrics, Computer Science, Electrical or Computer Engineering, or related field* Publication records in ML, NLP, CV areas.* Experience in online advertising.* Experience in parallel or distributed processing, high performance computing, stream computing.Applied Sciences 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-payMicrosoft will accept applications for the role until December 26, 2024Microsoft 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.* Conduct R&D on intelligent search advertising systems to mine and learn actionable insights from large scale data and signals we collect from user queries and online activities, advertiser created campaigns and their performances, and myriad responses from the parties touched by the system in Bing ads paid search ecosystem.* Play a key role in driving algorithmic and modeling improvement to the system (esp. using deep learning techniques)* Analyze performance and identify opportunities based on offline and online testing.* Develop, and deliver robust and scalable solutions* Make direct impact to both user and advertisers experience, and continually increase the revenue for Bing ads.

Microsoft AI (Artificial Intelligence) is looking for a Senior Principal Applied Scientist with expertise in fields like Machine Learning, Reinforcement Learning, Causal Inference, Large Language Models, Natural Language Processing (NLP), Natural Lan Scientist, Principal, Microsoft, Senior, Technology, Business Services

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