Principal Applied Scientist

6 days ago

مصر, Egypt Microsoft Full time

Principal Applied Scientist

**Responsibilities**:
**Responsibilities**

Microsoft is innovating rapidly in the advertising space to grow its share of this market by providing the ad industry with the state-of-the-art online advertising platform and service. Microsoft's advertising team is at the core of this effort, responsible for research & development of all the algorithmic components in our paid search advertising technology stack, including:

- User/query intent understanding, contextual targeting, user targeting
- Creative Quality Modeling (Clickbait, Perceived/Actual Relevance, Image Quality, Policies etc.)
- User response (click, wins & conversion) prediction using large scale machine learning algorithms
- Auction Optimization
- Advertising metrics and measurement
- Data mining and analytics
- Experimentation infrastructure including tools for configuring and launching experiments, dashboard, live marketplace monitoring, and diagnosis.

We are looking for a highly skilled Principal Applied Scientist or Machine Learning Scientist to incubate technologies from end to end to make product impact. They will play a key role in driving algorithmic improvements to online and offline systems, developing, and delivering robust and scalable solutions, making direct impacts on both users' and advertisers' experience, and continually increasing the revenue for Microsoft Ads. They will heavily use the recent advances in grid or cloud computing infrastructure to harness huge volume of data for solving many of the above-mentioned problems and leverage LLM’s for many of the problems. The Microsoft Advertising Marketplace 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.

**Qualifications**:
**Required Qualifications**:

- Outstanding expertise and hands-on 7-10 years of experience in machine learning, deep learning, NLP, computer vision and/or statistics
- 3+ years’ experience in software development
- Knowledge of C#, C++, Java or Python with 2-3 years of experience
- MS/PhD degree in CS/EE or related areas is preferred
- Passionate, self-motivated
- Effective communication skills, both verbal and written
- Familiarity with distributed data processing/analysis and modeling paradigm.

**Preferred Qualifications**:

- Experience with computational advertising.
- Research experience (publications) in the following areas is preferred statistical machine learning, deep learning, data mining, causal inference, information retrieval, game theory, mechanism design, optimization.

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