Data and Applied Scientist 2
2 weeks ago
Online Advertising is one of the fastest growing businesses on the Internet today, with about $70 billion of a $600 billion advertising market already online. Search engines, web publishers, major ad networks, and ad exchanges are now serving billions of ad impressions per day and generating terabytes of user events data every day. We as "Ads Trust Safety" team are responsible for ensuring "Microsoft Ads a safer place for Advertisers, Publishers & End Users". We primarily work on Network protection, Fraud detection, Advertiser Compromise etc. to name a few, with challenges of Handling new & ever evolving Fraud MOs.
**Responsibilities**:
We are looking for an Applied Scientist with deep R&D background to conduct research and development on intelligent search advertising system to mine and learn actionable insights from large scale data and signals we collect from advertiser created campaigns and their performances, and myriad responses from the parties touched by the system in Microsoft ads paid search ecosystem. The person will play a key role to drive algorithmic and modeling improvement to the system, analyze performance and identify opportunities based on offline and online testing, develop and deliver robust and scalable solutions, make direct impact to both user and advertisers experience, and help make Microsoft Ads Safer for Advertisers, Publisher & End Users.
**Qualifications**:
**Required Qualifications**:
4+ software development experience in one of the major programming languages: C++, C#, C, or Python required.
4+ years hands-on experience with PyTorch or Tensorflow.
Strong knowledge and skills in machine learning software development and deep learning.
Research or Industry experience with one or more of following areas LLMs, NLP, IR, CV, RL, large scale machine learning,.
Bachelor degree in computer science or a related field is required.
Excellent problem solving and data analysis skills.
Passionate, self-motivated.
Effective communication skills, both verbal and written.
Strong software design and development skills/experience.
**Preferred Qualifications**:
MS in a machine-learning related area with publications in top tier conferences
Experience in building, deploying, and improving large scale Machine Learning models and algorithms in real-world products.
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