Senior Applied AI Engineer

Security represents the most critical priorities for our customers in a world awash in digital threats, regulatory scrutiny, and estate complexity. Microsoft Security aspires to make the world a safer place for all. We want to reshape security and empower every user, customer, and developer with a security cloud that protects them with end to end, simplified solutions. The Microsoft Security organization accelerates Microsoft’s mission and bold ambitions to ensure that our company and industry is securing digital technology platforms, devices, and clouds in our customers’ heterogeneous environments, as well as ensuring the security of our own internal estate. Our culture is centered on embracing a growth mindset, a theme of inspiring excellence, and encouraging teams and leaders to bring their best each day. In doing so, we create life-changing innovations that impact billions of lives around the world.

As a Senior engineer in our team, you will develop machine learning and data science solutions that evolve with the constantly changing threat landscape and detect patterns of malicious and suspicious behavior. This is a unique opportunity to tackle challenging problems in the fascinating and growing space of cloud security. Your solutions will enable security analyst’s investigations, reducing their burden and increasing their effectiveness. The combination of machine learning, data science with security research and big data analytics creates a unique opportunity to deliver the world’s best security offerings in customer facing products like Azure Sentinel and Azure Defender. Come, explore your passions, pursue your AI and ML aspirations and be a part of our team!

Microsoft’s mission is to empower every person and every organization on the planet to achieve more. As employees we come together with a growth mindset, innovate to empower others, and collaborate to realize our shared goals. Each day we build on our values of respect, integrity, and accountability to create a culture of inclusion where everyone can thrive at work and beyond.

Responsibilities

• Work with other machine learning engineers and data scientists to develop machine learning systems for detecting anomalies, compromise, intrusion, fraud, and cyber-attacks.
• Engage with security teams across the company to identify security scenarios where machine learning/applied statistics can be used and drive the development of solutions to these problems.
• Work across teams in Azure Sentinel, Azure Defender and in other geographies like Israel to drive security solutions.
• Develop scalable data pipelines in Apache Spark that operate across a myriad of security data.
• Contribute to active engagement with the security ecosystem through papers, presentations, and blogs.
• Design data contracts and interfaces with partner teams to enable full end to end security features for customers.
• Partner with DevOps team to integrate into CI/CD pipelines.
• Contribute to active engagement with the security ecosystem through papers, presentations, and blogs. Develop world class data processing systems in Python/C#/Scala using cloud services. 

Qualifications

• Bachelor engineering degree in Computer Science/Data science/Machine Learning/Cyber security and 8+ years of professional experience, or Master engineering degree in Computer Science and 6+ years of professional experience. 
• Strong programming skills in Java/Scala/C# and/or Python, with understanding of cloud architectures and distributed computing.
• Knowledge on, Classification, Prediction, Anomaly Detection, Optimization, Graph based modelling, NLP
• Experience with developing large scale data processing solution in cloud using Apache Spark or similar technologies.
• Proficient in Relational Databases (SQL), Big Data Technologies(PySpark). Azure storage technologies (ADLS, cosmos DB).
• Experience developing high-performance solutions with service-oriented architecture

Other Requirements
Ability to meet Microsoft, customer and/or government security screening requirements are required for this role. These requirements include, but are not limited to the following specialized security screenings:

Microsoft Cloud Background Check:
– This position will be required to pass the Microsoft background and Microsoft Cloud background check upon hire/transfer and every two years thereafter.

• Understanding of AzureML, KQL and LLMs
• Knowledge of working in cloud-computing environment like Azure or AWS or Google Cloud. Azure preferred.
• Problem solving – Ability to clearly understand problems, decompose them into smaller problems; and technical articulation skills so that it is easy for the team to collectively solve.   
• Knowledge of Kuberenetes and its architecture
• Working knowledge of MLOps & LLMOps

Microsoft is an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to age, ancestry, color, family or medical care leave, gender identity or expression, genetic information, marital status, medical condition, national origin, physical or mental disability, political affiliation, protected veteran status, race, religion, sex (including pregnancy), sexual orientation, or any other characteristic protected by applicable laws, regulations and ordinances. If you need assistance and/or a reasonable accommodation due to a disability during the application or the recruiting process, please send a request via the Accommodation request form.

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