Applied Scientist 2 at Microsoft

Beijing, Beijing, China -

Full Time

Start Date

Immediate

Expiry Date

20 Feb, 26

Salary

0.0

Posted On

22 Nov, 25

Experience

2 year(s) or above

Remote Job

Yes

Telecommute

Yes

Sponsor Visa

Skills

Machine Learning, Generative AI, Data Analysis, Recommendation Algorithms, Python, Statistics, Predictive Analytics, Research, Problem Solving, Collaboration, Communication, C#, C++, Data Mining, Personalization, Statistical Modeling

Industry

Software Development

Description

Designs, develops, and optimizes ranking and recommendation algorithms (e.g., for News & Feeds), incorporating advanced machine learning and generative AI techniques to improve user engagement and product features. Performs deep data analysis to uncover patterns and trends, builds systemic models to enhance recommendation relevance and user experience, and prepares high-quality datasets for ML applications. Applies and improves ML algorithms, prepares and adapts data for scalable AI solutions, and supports deployment, monitoring, and iteration of models in production environments. Works with internal and external product and business groups, contributes to technology transfer, patents, and white papers, and consults on applying advanced concepts to real-world product needs. Maintains academic and professional networks, supports recruiting and mentoring efforts, and contributes to publications and internal knowledge sharing to foster innovation and talent development. Documents research processes and findings, adheres to ethics and privacy standards, and aligns work with team strategy while gaining expertise in key research domains like machine learning, computer vision, and statistical modeling. Bachelor's Degree in Statistics, Econometrics, Computer Science, Electrical or Computer Engineering, or related field AND 2+ 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 1+ year(s) related experience (e.g., statistics, predictive analytics, research) OR Doctorate in Statistics, Econometrics, Computer Science, Electrical or Computer Engineering, or related field OR equivalent experience. Minimum of 2 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 capability to clearly present and explain technical concepts to a variety of audiences. Proficient in Python programming, with additional experience in languages such as C# or C++ considered a plus. Bachelor's Degree in Statistics, Econometrics, Computer Science, Electrical or Computer Engineering, or related field AND 5+ 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. 1+ year(s) experience creating publications (e.g., patents, peer-reviewed academic papers).

Responsibilities

Designs, develops, and optimizes ranking and recommendation algorithms using advanced machine learning techniques. Performs deep data analysis to enhance recommendation relevance and user experience.