Description
Summary
Microsoft AI are looking for a talented Applied Scientist at their Beijing office. This role sits at the heart of semantic search across Microsoft, powering the leading embedding models that generate the core vector representations and help on all Bing index content across web content, fresh, multimedia, ads and impact on multiple stacks from retrieval to ranking.
About the Role
The Full Body Vectorization (FBV) Team is the engine powering semantic search across Microsoft. We own and operate the leading embedding models that generate the core vector representations and help on all Bing index content across web content, fresh, multimedia, ads and impact on multiple stacks from retrieval to ranking. We are now building Next-Generation Search Engine and Grounding system to lead the technical wave and improve the quality of Search, Copilot and all kinds of tools benefit from AI. As an Applied Scientist, you will apply state-of-the-art Research/ Industry Innovation s to benefit on Search/ Grounding quality with measurable business impact. You will explore big bets with mature thinking, ability to drive the direction from idea to the product ship on production. You will collaborate with product, algo and engineering partners across the world with clear communication to push the project move further.
Accountabilities
- Apply state-of-the-art Research/ Industry Innovation s to benefit on Search/ Grounding quality with measurable business impact.
- Explore big bets with mature thinking, ability to drive the direction from idea to the product ship on production.
- Collaborate with product, algo and engineering partners across the world with clear communication to push the project move further.
The Candidate we're looking for
Experience:
- 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.
Technical skills:
- Prior experience with Research, Applied Science, Search / Recommedation or other solid experience on deep model training.
- Experience with common machine learning, deep learning frameworks and concepts, using use of LLMs, prompting.
- Experience in pytorch or tensorflow.
Personal attributes:
- Solid coding ability for online system maintain/ update and feature change.
- Be sensitive to data. Help review design/ experiments/ pipelines with your expertise.
Benefits
- 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.
- 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.