Senior Applied Scientist at Microsoft

Suzhou, Jiangsu, China -

Full Time

Start Date

Immediate

Expiry Date

26 Feb, 26

Salary

0.0

Posted On

28 Nov, 25

Experience

5 year(s) or above

Remote Job

Yes

Telecommute

Yes

Sponsor Visa

Skills

Algorithm Development, Machine Learning, Generative AI, NLP, LLM, Data Analysis, Recommendation Systems, Statistics, Predictive Analytics, Problem Solving, Python, C#, C++, Collaboration, User Engagement, Performance Metrics

Industry

Software Development

Description

Algorithm Development and Enhancement for ranking algorithms 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. 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. 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. Minimum of 3 years of professional experience in recommender systems, search engines, or online advertising, with strong expertise in machine learning algorithms, generative AI and large language models (LLMs), statistics, and data mining techniques applied to personalization. Proven problem-solving abilities and a track record of thriving in fast-paced, collaborative environments. Excellent communication and teamwork skills, with the ability to clearly articulate complex technical concepts to a variety of audiences. Proficient in Python programming, with additional experience in languages such as C# or C++ considered a plus. 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.

Responsibilities

Develop and enhance ranking algorithms for News & Feeds, collaborating with cross-functional teams to implement recommendation algorithms. Optimize existing algorithms by analyzing performance metrics and user feedback to improve user engagement.