Microsoft Ads Fraud Detection team is seeking a Software Engineer II to join their cutting-edge team operating at the intersection of Security and Machine Learning. This role offers an exciting opportunity to protect billions of dollars in revenue by designing and developing fraud detection algorithms that run at webscale in real-time.
As a Software Engineer II, you'll be at the forefront of the constant race against fraudsters, developing new detection methods and building infrastructure for Machine Learning models at Internet Scale. You'll work with various data sources to develop next-generation Machine Learning tools and models for inference, analysis, and anomaly detection, all while maintaining a Security First mindset.
The position is based in Redmond, WA, with a hybrid work arrangement allowing up to 50% work from home. The role offers competitive compensation ranging from $98,300 to $193,200 per year, along with comprehensive benefits including industry-leading healthcare, educational resources, and investment options.
You'll be joining Microsoft, a global technology leader committed to empowering every person and organization to achieve more. The company culture emphasizes growth mindset, innovation, and collaboration, creating an environment where employees can thrive professionally and personally.
The role requires a Bachelor's degree in Computer Science or related field with 2+ years of technical engineering experience, though candidates with equivalent experience will be considered. Strong expertise in machine learning, particularly in training and inferencing models at web scale, is essential.
This is an excellent opportunity for a motivated engineer who wants to make a significant impact in fraud detection and security while working with cutting-edge technology at one of the world's leading tech companies. The role offers both technical challenges and professional growth opportunities in a collaborative, innovative environment.