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New York, NY, USAKey job responsibilities
* Rapidly design, prototype and test advanced security analysis and repair techniques in a high-ambiguity environment, making use of both quantitative and business judgment.
* Collaborate with software engineers and security engineers to integrate successful experiments into large scale production services.
* Report results in a scientifically rigorous way.
* Interact with security engineers and related domain experts to dive deep into the types of challenges that need innovative solutions.
- 3+ years of building machine learning models for business application experience
- PhD, or Master's degree and 6+ years of applied research experience
- Experience programming in Java, C++, Python or related language
- Experience with neural deep learning methods and machine learning
- Experience with modeling tools such as R, scikit-learn, Spark MLLib, MxNet, Tensorflow, numpy, scipy etc.
- Experience with large scale distributed systems such as Hadoop, Spark etc.
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