Applied Scientist 2 at Microsoft

Taipei, , Taiwan -

Full Time

Start Date

Immediate

Expiry Date

01 Apr, 26

Salary

0.0

Posted On

01 Jan, 26

Experience

2 year(s) or above

Remote Job

Yes

Telecommute

Yes

Sponsor Visa

Skills

Statistics, Predictive Analytics, Research, Problem Solving, Data Preparation, Feature Development, Solution Deployment, Performance Monitoring, AI Techniques, Quality Improvement, Efficiency Improvement, Reliability, Collaboration, Communication, Ads Systems, Recommendation Systems

Industry

Software Development

Description

Overview Microsoft is innovating rapidly in advertising to grow its share of this market by providing the advertising industry with the state-of-the-art online advertising platform and service. Bing Ads algorithm team is at the core of this effort, working on the following research & development: Selection(recall), Relevance, User Response Prediction (Click Prediction and Conversion prediction), Autobidding, Large Language Model and Large Scale Machine Learning & Serving System. The team is a world-class R&D team of passionate and talented scientists and engineers who aspire to solve challenging problems and turn innovative ideas into high-quality products and services that can help hundreds of millions of users and advertisers, and directly impact our business. Microsoft’s mission is to empower every person and every organization on the planet to achieve more. As employees we come together with a growth mindset, innovate to empower others, and collaborate to realize our shared goals. Each day we build on our values of respect, integrity, and accountability to create a culture of inclusion where everyone can thrive at work and beyond. Starting January 26, 2026, Microsoft AI (MAI) employees who live within a 50- mile commute of a designated Microsoft office in the U.S. or 25-mile commute of a non-U.S., country-specific location are expected to work from the office at least four days per week. This expectation is subject to local law and may vary by jurisdiction. Responsibilities Bridge research and production to bring state-of-the-art AI solutions into Bing Ads, translating long-term innovation into scalable product improvements. Drive end-to-end enhancements across data preparation, feature development, solution deployment, and performance monitoring to improve ad relevance and system efficiency. Analyze performance rigorously using offline and online testing methodologies, validating assumptions and identifying optimization opportunities. Deliver robust, scalable solutions by applying advanced AI techniques and production-grade data processes to improve quality, efficiency, and reliability. Create direct impact for users and advertisers by improving ranking, targeting, and auction outcomes, while documenting insights and decisions to accelerate innovation. Increase Bing Ads revenue responsibly through measurable system and solution improvements, adhering to ethics and privacy policies throughout data handling and deployment. Collaborate and communicate effectively across research, engineering, and product teams; contribute to knowledge transfer, innovation initiatives. Qualifications Required Qualifications: 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. Good design and problem-solving skills. Ability to learn new techniques from textbooks or research papers and apply them to the business problem at hand. Experiences on ads or recommendation system recall and ranking is a good addition. Preferred Qualifications: 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). This position will be open for a minimum of 5 days, with applications accepted on an ongoing basis until the position is filled. 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 with religious accommodations and/or a reasonable accommodation due to a disability during the application process, read more about requesting accommodations.

Responsibilities

The role involves bridging research and production to implement AI solutions in Bing Ads, enhancing ad relevance and system efficiency. Responsibilities include analyzing performance, delivering scalable solutions, and collaborating across teams.