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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. It's a good opportunity to join us to reach the sky and use our intelligence to help customers across the worlds. We are looking for Senior Applied Scientist who has passion to leverage latest innovations, independently lead the exploration from idea/ design, experiments and landing to the production. We want you have understanding and interest in retrieval/ Search, LLM, Multi-modal, NLP with deep experience on DL/ML.
Job Responsibility:
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
Optimize and implement on productivity & agility, including model training/ inference code, data pipeline/ tools and shipping process.
Mentor and guide young team members grow up as good model not only from technical side, but also the attitude and methodology on work.
Keep learning and can help build sharing team culture with discussion and ideas from innovations
Be sensitive to data. Help review design/ experiments/ pipelines with your expertise.
Drive the data quality improvement
Have solid coding ability for online system maintain/ update and feature change.
Requirements:
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.
Prior experience with Research, Applied Science, Search / Recommendation 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.
Nice to have:
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 3+ years related experience (e.g., statistics, predictive analytics, research)
OR Doctorate 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 equivalent experience.
Solid experience and understanding on Deep model and retrieval.
Solid Research experience and publications.
Familiar with model optimization on training/ inference and GPU side.