Senior Machine Learning Engineer at Microsoft

Senior Machine Learning Engineer Details

Jan. 2, 2019, 11:02 p.m.
Engineering
Individual Contributor
Full-Time
Redmond, WA
Threat Protection team Windows Defender Advanced
The Windows Defender Advanced Threat Protection team (WDATP) is looking for an experienced Machine Learning Engineer to join our Redmond lab. The WDATP team is committed to helping Microsoft customers keep their devices secure against malicious attacks and cybercrime. By continuously gathering and analyzing data, and by working with organizations inside and outside Microsoft, the WDATP stays agile to combat evolving threats. Our mission is to help protect customers and systems with industry-leading proactive protection, advise customers, and engage in valuable partnerships. As an engineer on our Web ML team, you will work with a team of data scientists to design, build, and deploy end-to-end systems for tracking cybersecurity threats across the Internet, including phishing attacks, malware distribution, scams, command and control, and more. You will provide technical guidance and leadership to ensure reliable, maintainable, and performant delivery of security products that provide protection

Lead the evolution of machine learning infrastructure for the team Research and evangelize new technologies Participate in model development Build end-to-end pipelines for turning raw data into protection value for customers Coordinate deployment of pipelines to production with service engineering teams Create tools to enable fast, reproducible, and organized experimentation by model developers
5+ years of professional software engineering experience, including testing and deploying iterative releases of software systems 3+ years of experience applying, implementing, and/or developing machine learning or statistical algorithms Proficiency in C# and/or C++ and SQL Experience with very large-scale data processing and analysis Passion for best practices in building and supporting production systems Advanced knowledge of big data and machine learning technologies, especially in Azure Good understanding of machine learning fundamentals, including measures of accuracy, common linear and non-linear
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