Principal Applied Scientist- Feeds and AI
Microsoft
Software Engineering, Data Science
Posted on Dec 25, 2024
Principal Applied Scientist- Feeds and AI
Beijing, China
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Date posted
Dec 25, 2024
Job number
1797897
Work site
Microsoft on-site only
Travel
0-25 %
Role type
Individual Contributor
Profession
Research, Applied, & Data Sciences
Discipline
Applied Sciences
Employment type
Full-Time
Overview
In Feeds and AI team, we’re building MSN, a content powerhouse for every person on the planet to be informed, entertained, and inspired. Microsoft Start is the place for all to read, watch, listen, create, connect with people of shared interests, and experience wonders in the world.
We are looking for a skilled and experienced Principal Applied Scientist to join our team. As Principal Applied Scientist focusing on recommender systems, you will play an important role in enhancing and optimizing our recommendation algorithms within our content ecosystem to achieve product and business growth goals.
Qualifications
- Master's degree in Computer Science, Statistics, Data Science, or related field, with solid background in machine learning, data mining or related applied science.
- 5 years of work experience in recommender systems, search engine, or online advertising, with rich experience on machine learning algorithms, generative AI / LLMs, statistics, data mining techniques, and their application on personalization.
- Excellent problem-solving skills and ability to work in a fast-paced, collaborative environment. Strong communication and teamwork skills, with the ability to effectively present and explain technical concepts to diverse audiences.
- Strong programming skills in Python and experience with other programming languages like C#, C++ is a plus.
Responsibilities
- Algorithm Development and Enhancement for Content Quality in News & Feeds
- Work with cross-functional teams to design, develop, and implement recommendation algorithms to deliver product features and drive user engagement.- Optimize existing recommendation algorithms by analyzing performance metrics and user feedback, incorporating advanced machine learning techniques including generative AI techniques.
- Innovation in the area of NLP, LLM, and recommender system.
- Data Analysis and Modeling
- Perform data analysis to identify patterns, trends, and opportunities to improve the relevance and quality of our recommendation systems.
- Build systemic solutions and models to optimize user experience.
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.