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Applied Scientist 2 (Ads) at Microsoft

Beijing, Beijing, China -

Full Time

Start Date

Immediate

Expiry Date

16 Dec, 25

Salary

0.0

Posted On

17 Sep, 25

Experience

2 year(s) or above

Remote Job

Yes

Telecommute

Yes

Sponsor Visa

Skills

Algorithm Improvements, Collaboration, Machine Learning, User Response Prediction, Auto-bidding, Large Language Model, Relevance, Selection

Industry

Software Development

Description

With rapid growth of advertising market share by the state-of-the-art online advertising platform and service, Microsoft 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), Auto-bidding, 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 for direct business impact. As an Applied Scientist in Microsoft Ads team, you will focus on algorithm improvements and collaborate across different feature teams to deliver the impact for business growth. This opportunity will allow you to accelerate your career growth, develop deep business acumen, and become expert in certain algorithm area. Under the company policy guidance, there is a flexible work opportunity for you to work from home partially). 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.

Responsibilities

As an Applied Scientist in Microsoft Ads team, you will focus on algorithm improvements and collaborate across different feature teams to deliver the impact for business growth. This opportunity will allow you to accelerate your career growth, develop deep business acumen, and become expert in certain algorithm area.