Community

Home >

Jobs >

Principal Applied Scientist - Feeds and AI

Beijing, China (On-site)

Principal Applied Scientist - Feeds and AI

1 Day ago • 5 Years + • Artificial Intelligence • Undisclosed

About the job

11 skills required for this role

Add these skills to join the top 1% applicants for this job

cpp

algorithms

python

data-science

data-analytics

user-experience-ux

innovation

cross-functional

performance-analysis

team-management

Job Description

Microsoft's Feeds and AI team is seeking a Principal Applied Scientist to enhance and optimize recommendation algorithms within their content ecosystem (MSN and Microsoft Start). Responsibilities include algorithm development and enhancement for content quality, focusing on improving user engagement and relevance. This role involves working with cross-functional teams, optimizing existing algorithms using advanced machine learning techniques (including generative AI), performing data analysis to identify improvement opportunities, and building systemic solutions to optimize user experience. Innovation in NLP, LLMs, and recommender systems is key. The ideal candidate will have a Master's degree in a related field, 5+ years of experience in recommender systems or related areas, strong programming skills in Python, and excellent communication and teamwork skills.

Must have:

Master's degree in relevant field
5+ years experience in recommender systems
Strong Python programming skills
Excellent communication & teamwork
Algorithm development & optimization
Data analysis & modeling

Good to have:

Experience with C#, C++
Generative AI/LLM expertise

Perks:

Industry leading healthcare
Educational resources
Product & service discounts
Savings and investments
Maternity and paternity leave
Generous time away
Giving programs
Networking opportunities

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

View Full Job Description

Upload your resume, increase your shortlisting chances by 80%