Machine Learning Engineer

Microsoft Security's Central Fraud and Abuse Risk (CFAR) team is seeking a Machine Learning Engineer to spearhead AI solution development. This role combines technical expertise with innovative problem-solving in cybersecurity. You'll work with cutting-edge technologies and rich datasets to transform cybersecurity and empower users worldwide.

The position offers an opportunity to work on significant challenges in fraud and abuse prevention, leveraging big data processing and machine learning to create industry-leading solutions. You'll be part of a team that values innovation, experimentation, and continuous learning, working alongside talented engineers and data scientists.

The role requires strong technical skills in machine learning, programming, and data science, with a focus on building scalable solutions. You'll be responsible for developing data pipelines, maintaining ML infrastructure, and ensuring system reliability while working in a collaborative environment that encourages growth and innovation.

This is an excellent opportunity for someone passionate about applying AI to real-world security challenges. The position offers competitive compensation ($98,300 - $193,200) and comprehensive benefits, including healthcare, educational resources, and parental leave. Located in Redmond, Washington, you'll be at the heart of Microsoft's innovation center, working on projects that directly impact global cybersecurity.

Join a team that values technical excellence, creative problem-solving, and continuous learning. Your work will directly contribute to Microsoft's mission of transforming cybersecurity and protecting users worldwide. The role offers both technical challenges and growth opportunities, making it ideal for ambitious engineers looking to make a significant impact in the cybersecurity field.