At Microsoft Security, our mission is to transform cybersecurity and empower every user, customer, and developer with a comprehensive, simplified security cloud. Our Central Fraud and Abuse Risk (CFAR) team, fueled by innovation and risk intelligence, leverages unmatched expertise in the fraud and abuse domain, rich datasets, and the brilliance of our engineers and data scientists. We deliver resilient services that set industry standards through cutting-edge technologies and datasets.

We are seeking a talented Machine Learning Engineer to lead the development of AI solutions. In this role, you will focus on data preparation and management, including big data processing, to ensure high-quality datasets for machine learning models. Your expertise will shape innovative projects, leveraging data-driven insights to enhance user experiences and support strategic decision-making.

At CFAR, we continuously adapt to the evolving landscape of fraud and abuse by refining our approaches and staying ahead of emerging threats. Our team thrives on collaboration and a growth mindset, constantly pushing boundaries to create robust solutions. We believe in the power of experimentation and the importance of failing fast to drive innovation. Together, we design effective mitigation strategies and provide unparalleled security and compliance solutions.

Responsibilities

• Collaborate with a cross-disciplinary team of engineers, data scientists, and researchers.
• Develop and maintain data pipelines and dashboards for real-time model monitoring and decision-making.
• Build scalable, reliable, and secure systems with comprehensive monitoring and alerting.
• Produce robust and efficient code, conducting design and code reviews to align with best practices.
• Ensure data integrity, compliance, and system stability through meticulous release management.
• Analyze large-scale data to drive AI advancements and enhance response quality.
• Simplify machine learning infrastructure by streamlining onboarding, debugging issues, and keeping documentation up-to-date.
• Effectively communicate insights to leadership and cross-functional teams through dashboards, reports, and presentations.
• Embody our culture and values.

Qualifications

Required/Minimum Qualifications: 

• Doctorate in Data Science, Mathematics, Statistics, Econometrics, Economics, Operations Research, Computer Science, or related field 
  • OR Master's Degree in Data Science, Mathematics, Statistics, Econometrics, Economics, Operations Research, Computer Science, or related field AND 1+ year(s) data-science experience (e.g., managing structured and unstructured data, applying statistical techniques and reporting results) or consulting experience.
  • OR Bachelor's Degree in Data Science, Mathematics, Statistics, Econometrics, Economics, Operations Research, Computer Science, or related field AND 2+ years data-science experience (e.g., managing structured and unstructured data, applying statistical techniques and reporting results) 
  • OR equivalent experience. 
• 2+ years technical engineering experience with coding in languages including, but not limited to, C, C++, C#, Java, JavaScript, or Python.
• 2+ years of experience in data science or big data processing.

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 Cloud background check upon hire/transfer and every two years thereafter.

Preferred/Additional Qualifications:

• Experience with ML infrastructure, including job schedulers and big data storage.
• Experience with cloud computing platforms such as Azure and AWS.
• Understanding code coverage, data structures, algorithms, multi-threaded and asynchronous programming patterns, and architecting at scale.
• Experience with engineering practices, CI/CD pipelines, and Git.
• 4+ years of experience in building, debugging, and optimizing large, high-performance applications using ML engineering languages and platforms like Python, PySpark, & Scala.
• Master’s degree in data science, Computer Science or related technical field.

Data Science IC3 - The typical base pay range for this role across the U.S. is USD $98,300 - $193,200 per year. There is a different range applicable to specific work locations, within the San Francisco Bay area and New York City metropolitan area, and the base pay range for this role in those locations is USD $127,200 - $208,800 per year.

Certain roles may be eligible for benefits and other compensation. Find additional benefits and pay information here: https://careers.microsoft.com/us/en/us-corporate-pay

Microsoft will accept applications for the role until March 5, 2025.

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.  We also consider qualified applicants regardless of criminal histories, consistent with legal requirements. 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.

Benefits/perks listed below may vary depending on the nature of your employment with Microsoft and the country where you work.