Overview

As a Senior Data 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.

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.

Starting 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.

Responsibilities

• Visual Intelligence Development: Build and deploy SOTA machine learning models for image classification, object detection, and video action recognition to power Bing's multimedia features.
• Multimodal & 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.
• Scale & Optimization: Design robust feature-engineering pipelines to process billions of images and videos, ensuring low-latency inference in production services.
• Strategic Leadership: Embody Microsoft’s values by Creating Clarity in complex AI problems and Generating Energy across cross-functional teams of engineers and PMs.
• Responsible AI: Ensure all visual models adhere to strict Security, Privacy, and GDPR standards, specifically focusing on content moderation and bias detection in multimedia.

Qualifications Required 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.

• Mastery of Python and deep learning frameworks such as Py Torch or Tensor Flow.

• 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.

Preferred Qualifications:

• PhD focused on Computer Vision, Video Analytics, or Multimodal Learning.
• Experience with big data tools like Spark/Py Spark and Azure Machine Learning.
• Publications in top-tier venues such as CVPR, ICCV, or ACM Multimedia.

This 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. If you need assistance with religious accommodations and/or a reasonable accommodation due to a disability during the application process, read more about requesting accommodations.