Job Category: Research
Job ID: 880512-143527
Division: Cloud and Enterprise Engineering
Summary
The Azure Cyber Security group is exploring opportunities to leverage machine learning and data mining techniques and apply predictive analytics towards vast amounts of data. This is expected to enhance and automate the classification process, from detection to response, in a very large and continuously increasing scale.
We are looking for a senior applied researcher with a background in machine learning, statistics and data mining. A background in security is an advantage. You will be at the forefront of security research and engineering. You will be challenged to apply machine learning techniques at scale on large data sets and at fast turnaround times. To be successful you will need to demonstrate practical experience using statistical analysis techniques and building advanced predictive models. You will also need to exhibit a strong understanding of software development and an excellent ability to work with the engineering team.
Background
The Azure Cyber Security group will lead Azure Cyber Security strategy and implementation.
In cloud platforms like Azure, Cyber Security is going to be a major differentiator - our customers will use Azure to store and process their precious data only if they are positive that Azure is both secure and trusted. However, with BYOD trend and with users who are used to access everything from everywhere, by making Azure safe and trusted we cannot compromise the user experience or reduce the business benefits, therefore the new generation of security systems must be very smart, dynamic & evolving, holistic and context and business aware in addition to being safe and trustworthy.
Qualifications:
Master in computer science. PhD is a plus.
Strong background in design and implementation of machine learning / data mining.
Demonstrated ability to apply statistical techniques or data mining to solve real problems at scale.
Security background is an advantage
Experience in software product development (C# experience is an advantage) - with the core focus being on mathematical and / or statistical algorithms.
Ability to work independently as well as part of a team.
Autodidactic abilities to ramp up quickly on new technologies
Great people skills, leadership and collaboration
Excellent written and oral communication skills
Job ID: 880512-143527
Division: Cloud and Enterprise Engineering
Summary
The Azure Cyber Security group is exploring opportunities to leverage machine learning and data mining techniques and apply predictive analytics towards vast amounts of data. This is expected to enhance and automate the classification process, from detection to response, in a very large and continuously increasing scale.
We are looking for a senior applied researcher with a background in machine learning, statistics and data mining. A background in security is an advantage. You will be at the forefront of security research and engineering. You will be challenged to apply machine learning techniques at scale on large data sets and at fast turnaround times. To be successful you will need to demonstrate practical experience using statistical analysis techniques and building advanced predictive models. You will also need to exhibit a strong understanding of software development and an excellent ability to work with the engineering team.
Background
The Azure Cyber Security group will lead Azure Cyber Security strategy and implementation.
In cloud platforms like Azure, Cyber Security is going to be a major differentiator - our customers will use Azure to store and process their precious data only if they are positive that Azure is both secure and trusted. However, with BYOD trend and with users who are used to access everything from everywhere, by making Azure safe and trusted we cannot compromise the user experience or reduce the business benefits, therefore the new generation of security systems must be very smart, dynamic & evolving, holistic and context and business aware in addition to being safe and trustworthy.
Qualifications:
Master in computer science. PhD is a plus.
Strong background in design and implementation of machine learning / data mining.
Demonstrated ability to apply statistical techniques or data mining to solve real problems at scale.
Security background is an advantage
Experience in software product development (C# experience is an advantage) - with the core focus being on mathematical and / or statistical algorithms.
Ability to work independently as well as part of a team.
Autodidactic abilities to ramp up quickly on new technologies
Great people skills, leadership and collaboration
Excellent written and oral communication skills