Applied Scientist at Microsoft

Beijing, Beijing, China -

Full Time

Start Date

Immediate

Expiry Date

06 Mar, 26

Salary

0.0

Posted On

06 Dec, 25

Experience

5 year(s) or above

Remote Job

Yes

Telecommute

Yes

Sponsor Visa

Skills

Deep Learning, Machine Learning, NLP, Retrieval, Search, LLM, Model Optimization, Data Quality, Coding, Mentoring, Collaboration, Experimentation, Statistical Analysis, Predictive Analytics, Research, Communication

Industry

Software Development

Description

Overview 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. 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 Apply state-of-the-art Research/Industry Innovations to benefit on Search/Grounding quality with measurable business impact. Exploration on 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 Solid coding ability for online system maintain/update and feature change. Qualifications Required Qualifications: Bachelor'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 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. 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 is a bonus. Ability to communicate technical details clearly across organizational boundaries. Preferred Qualifications: 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 3+ years 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. #MicrosoftAI 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.

Responsibilities

The role involves applying state-of-the-art research and industry innovations to enhance search and grounding quality with measurable business impact. Additionally, the scientist will collaborate with various partners globally and mentor junior team members.