Are you excited about working on web services service traffic at web scale across ~100 languages and ~200 regions? Are you interested in researching and shipping on the state-of-the-art DL based NLP models? Are you passionate about tackling this fundamental problem at web scale which impacts millions of users?
\nIf you answered yes to any of these questions, then Microsoft Bing’s RAI Defensives team could be right fit for you. The team is focused on keeping Bing safe for our customers by detecting queries and content that require due diligence for the best user experience. All this using the state-of-the-art deep learnt models.
\nWe are looking for a talented, energetic, creative, and passionate software engineer/applied sciences manager with experience in building/shipping high-quality software solution for cutting edge web scale problems.
\nMicrosoft’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.
\nStarting January 26, 2026, Microsoft AI (MAI) employees who live within a 50-mile commute of a designated Microsoft office in the U.S. or 25-mile commute of a non-U.S., country-specific location are expected to work from the office at least four days per week. This expectation is subject to local law and may vary by jurisdiction.
\nThe Principal Applied Science Manager role involves building and managing a team of high-caliber software engineers and applied researchers. The manager will ensure product and development excellence, career development of the team and establishing a strong culture of trust, collaboration & inclusion. Additionally, this role will require to work closely with various organizations in Microsoft AI, including Copilot and Edge.
\nA suitable candidate is expected to have experience of delivering reliable & scalable distributed services with a good understanding of data science fundamentals.
\nResponsibilities
\nQualifications
\nPreferred Qualifications
\nXML job scraping automation by YubHub
","url":"https://yubhub.co/jobs/job_b6778f6d-e95","directApply":true,"hiringOrganization":{"@type":"Organization","name":"Microsoft","sameAs":"https://microsoft.ai","logo":"https://logos.yubhub.co/microsoft.ai.png"},"x-apply-url":"https://microsoft.ai/job/principal-applied-science-manager-2/","x-work-arrangement":"hybrid","x-experience-level":"senior","x-job-type":"full-time","x-salary-range":null,"x-skills-required":["Software engineering","Applied research","Data science","Deep learning","NLP","Web services","Distributed systems","Team management","Communication","Collaboration","Problem solving","Prioritization"],"x-skills-preferred":["Publication creation","Conference presentation","Research program participation","Live production system development","Product deployment"],"datePosted":"2026-04-24T12:10:11.168Z","jobLocation":{"@type":"Place","address":{"@type":"PostalAddress","addressLocality":"Hyderabad"}},"employmentType":"FULL_TIME","occupationalCategory":"Engineering","industry":"Technology","skills":"Software engineering, Applied research, Data science, Deep learning, NLP, Web services, Distributed systems, Team management, Communication, Collaboration, Problem solving, Prioritization, Publication creation, Conference presentation, Research program participation, Live production system development, Product deployment"},{"@context":"https://schema.org","@type":"JobPosting","identifier":{"@type":"PropertyValue","name":"YubHub","value":"job_c9975749-904"},"title":"Senior Applied Scientist","description":"As a Senior Applied Scientist in the Multimedia Team, you will redefine how millions of users discover, consume, and create visual content. You will be at the heart of Bing Visual Search, Bing Image Creator, and our vast video indexing engine. Your mission is to build intelligent systems that understand the deep semantics of pixels and frames, enabling world-class image and video experiences that are fast, relevant, and inspiring.
\nMicrosoft’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.
\nStarting January 26, 2026, Microsoft AI (MAI) employees who live within a 50-mile commute of a designated Microsoft office in the U.S. or 25-mile commute of a non-U.S., country-specific location are expected to work from the office at least four days per week. This expectation is subject to local law and may vary by jurisdiction.
\nResponsibilities\nVisual Intelligence Development: Build and deploy SOTA machine learning models for image classification, object detection, and video action recognition to power Bing’s multimedia features.
\nMultimodal & Generative AI: Lead the development of multimodal embeddings that align text and visual data, and leverage Generative AI (e.g., DALL-E, MAI models) to enhance content creation tools.
\nScale & Optimization: Design robust feature-engineering pipelines to process billions of images and videos, ensuring low-latency inference in production services.
\nStrategic Leadership: Embody Microsoft’s values by Creating Clarity in complex AI problems and Generating Energy across cross-functional teams of engineers and PMs.
\nResponsible AI: Ensure all visual models adhere to strict Security, Privacy, and GDPR standards, specifically focusing on content moderation and bias detection in multimedia.
\nQualifications\nRequired Qualifications: Bachelor’s Degree in Statistics, Econometrics, Computer Science, Electrical or Computer Engineering, or related field AND 5+ 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 4+ years related experience (e.g., statistics, predictive analytics, research) OR Doctorate in Statistics, Econometrics, Computer Science, Electrical or Computer Engineering, or related field AND 2+ year(s) related experience (e.g., statistics, predictive analytics, research) OR equivalent experience.
\nMastery of Python and deep learning frameworks such as PyTorch or TensorFlow. Proven track record in Computer Vision (CV) or Multimedia Understanding, including work with large-scale visual datasets. Experience building and deploying live production systems at scale.
\nPreferred Qualifications: PhD focused on Computer Vision, Video Analytics, or Multimodal Learning. Experience with big data tools like Spark/PySpark and Azure Machine Learning. Publications in top-tier venues such as CVPR, ICCV, or ACM Multimedia.
\nThis position will be open for a minimum of 5 days, with applications accepted on an ongoing basis until the position is filled. Microsoft is an equal opportunity employer. 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.
\nXML job scraping automation by YubHub
","url":"https://yubhub.co/jobs/job_c9975749-904","directApply":true,"hiringOrganization":{"@type":"Organization","name":"Microsoft","sameAs":"https://microsoft.ai","logo":"https://logos.yubhub.co/microsoft.ai.png"},"x-apply-url":"https://microsoft.ai/job/senior-applied-scientist-14/","x-work-arrangement":"hybrid","x-experience-level":"senior","x-job-type":"full-time","x-salary-range":null,"x-skills-required":["Python","PyTorch","TensorFlow","Computer Vision","Multimedia Understanding","Large-scale visual datasets","Live production systems"],"x-skills-preferred":["PhD in Computer Vision","Video Analytics","Multimodal Learning","Spark/PySpark","Azure Machine Learning","CVPR","ICCV","ACM Multimedia"],"datePosted":"2026-03-08T22:14:34.671Z","jobLocation":{"@type":"Place","address":{"@type":"PostalAddress","addressLocality":"Noida"}},"employmentType":"FULL_TIME","occupationalCategory":"Engineering","industry":"Technology","skills":"Python, PyTorch, TensorFlow, Computer Vision, Multimedia Understanding, Large-scale visual datasets, Live production systems, PhD in Computer Vision, Video Analytics, Multimodal Learning, Spark/PySpark, Azure Machine Learning, CVPR, ICCV, ACM Multimedia"}]}