Software Engineer II

Mid • Hybrid • On-site

$98,300 - $193,200/yr

Redmond, WA

Overview

Microsoft Ads Fraud Detection operates at the intersection of Security and Machine learning. We design and develop fraud detection algorithms that run at webscale in real time and protect billions of dollars of revenue from fraudsters. Our algorithms need to run in a high precision/ high recall operating point.

We are always in a race with fraudsters to design new ways to detect fraud. As a Software Engineer II with our team, you'll be responsible for designing and building infrastructure for Machine Learning models at Internet Scale from various data sources. You will develop our next generation Machine Learning tools and models for inference, analysis and anomaly detection. You will keep Security First mind set and design secure-by-design systems.

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.

Qualifications

Required Qualifications:

Bachelor's Degree in Computer Science or related technical field AND 2+ years technical engineering experience with coding in languages including, but not limited to, C, C++, C#, Java, or Python
- OR equivalent experience.
Experience in training and inferencing Machine Learning models from scratch at web scale.

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 Qualifications:

Bachelor's Degree in Computer Science or related technical field AND 4+ years technical engineering experience with coding in languages including, but not limited to, C, C++, C#, Java, JavaScript, or Python
- OR Master's Degree in Computer Science or related technical field AND 2+ years technical engineering experience with coding in languages including, but not limited to, C, C++, C#, Java, JavaScript, or Python
- OR equivalent experience.
Experience in infrastructure design in Fraud or Risk related areas or Recommendation systems

Software Engineering 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 April 24, 2025.

#FraudDetection #MachineLearning #MicrosoftAI

Responsibilities

Train production machine learning models that fight fraud from the ground up.
Ideate and develop tools for scalable data analysis, anomaly detection that act as a force multiplier.
Develop our next generation fraud detection service to run fraud detection algorithms at scale across various business components.
Strive for continuous performance optimization and Security resilience for all infrastructure components for team.

Microsoft

Microsoft is a global technology company that focuses on empowering every person and organization to achieve more. With a mission to deliver the core infrastructure and foundational technologies for Microsoft's online businesses, including Bing, MSN, Office 365, Xbox Live, Teams, OneDrive, and the Microsoft Azure platform, the company is dedicated to powering the 'Intelligent Cloud' mission. Microsoft values respect, integrity, and accountability, and fosters a culture of inclusion where employees can thrive. The company is committed to continuous improvement and collaboration to drive innovation and provide high-quality results to customers. With a diverse and inclusive workforce, Microsoft is an equal opportunity employer.