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Senior Applied Scientist (NLP/Search/RAG)

Microsoft

Microsoft

Software Engineering
Posted on Dec 17, 2024

Senior Applied Scientist (NLP/Search/RAG)

Beijing, China

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Date posted
Dec 17, 2024
Job number
1794546
Work site
Up to 50% work from home
Travel
0-25 %
Role type
Individual Contributor
Profession
Research, Applied, & Data Sciences
Discipline
Applied Sciences
Employment type
Full-Time

Overview

Senior Applied Scientist (NLP/Search/RAG)

Microsoft AI Organization aims to the best user experience for Web Search, Advertisement, Cloud, and Enterprise services. The Search Experience Group in Microsoft AI has more than 400 scientists and engineers, working on various NLP/Multi-modal techniques and applications.

We're looking for passionate and experienced engineers and scientists to help us on our mission of employing deep learning to understand all the data on the web - the largest store of information in human history. With this understanding we power end-user experiences across a variety of NLP/Multi-modal related areas, especially
- RAG System powered by LLMs
- Generative answers with LLMs
- Build up the world-class AI systems with novel NLP techniques and engineering excellence.
- Explore cutting-edge AI technology and deliver both research and production impact.

Qualifications

Required Qualifications:

- Experiences in applying deep learning, LLM, RAG techniques and drive E2E AI product development.
- 5+ years of working experience in NLP/search related areas.
- Passionate and self-motivated. Good communication skills, both verbal and written.

Preferred Qualifications:

- Master, advanced degree and/or industry experience

- Good experience in LLM post-train, finetuning

- Experience in RAG system

- Solid problem-solving skills, and ability to work independently

Responsibilities

- Drive core technologies and E2E production delivery by leveraging State-of-Art AI technologies (especially LLMs).
- Address challenges in products through Deep Learning and Reinforcement Learning approaches and transfer novel ideas to production applications.
- Development of deep learning models for Microsoft AI scenarios, including generative search and answers, knowledge experience, et al.
- Pushing the envelope on deep learning by: (1) Defining problems and establishing metrics (2) Gathering training data at scale (3) Exploring model design and architecture (3) Exploring learning objectives and tasks


Benefits/perks listed below may vary depending on the nature of your employment with Microsoft and the country where you work.
Industry leading healthcare
Educational resources
Discounts on products and services
Savings and investments
Maternity and paternity leave
Generous time away
Giving programs
Opportunities to network and connect

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 and/or a reasonable accommodation due to a disability during the application process, read more about requesting accommodations.