Jobs

Come and join the team of researchers responsible for the key innovations behind the Microsoft anti-spam and the Microsoft anti-phishing technology as we embark on a new and exciting challenge: building a unified user reputation system. The Technology Care & Safety team's research team is looking for a strong applied researcher to take intellectual lead in designing, prototyping, and evaluating user reputation systems. Our goal is a new trust model on the Internet. We envision a time when Internet users will not accept anything new onto their computers without first consulting a reputation service to ask the question: "Can I trust this interaction will meet my expectations?" first for safety and later, ideally, for content as well. Our reputation systems will cover nearly every type entity on the Internet: people, web sites, web content, newsgroups, MSN Groups and Spaces, e-commerce and banking sites, IM chat, VOIP connections, email messages & attachments, senders of email, online or downloadable applications, plug-ins, and binary objects. Our reputation services will be queried by user applications, server applications, operating systems, & other services.

Our team is a small group of applied researchers who report into the Technology Care & Safety team in MSN. Our mission is to:

• Conduct applied research in the Safety space with a focus on data mining and machine learning
• Provide thought leadership and advanced prototypes for existing and emerging safety problems
• Maintain a strong intellectual property portfolio
• Balance and long-term thinking with quick and flexible response

An ideal candidate will have a research background in reputation systems or data mining/machine learning (PhD or ABD ideal) but will also have a strong desire to get their ideas into products and see their innovations help millions of people be safer every day. An ideal candidate will also have strong implementation skills and be able to build prototypes, carefully evaluate the ideas in the prototypes, and clearly communicate the results of the evaluations to our product dev teams. Particular areas of research interest include: social networks, user modeling, relational learning, mining data-streams, learning in adversarial settings, collaborative filtering, adaptive web sites, etc. Practical skill in Internet technology (web, e-mail, etc.) or anti-spam and anti-phishing are also very desirable.

Contact:
To apply, please send e-mail to:
jasw@microsoft.com with "KDNuggets Job Application" in the subject line.