Security Software Engineer, ML Detection Engineering

About this role

At Netflix, our mission is to entertain the world. Together, we are writing the next episode - pushing the boundaries of storytelling, global fandom and making the unimaginable a reality. We are a dream team obsessed with the uncomfortable excitement of discovering what happens when you merge creativity, intuition and cutting-edge technology. Come be a part of what’s next.


The Team
The Detection Engineering Team is responsible for analyzing high-risk attack paths that could have substantial impact on Netflix and creating focused detections to reduce risk to the business. This is facilitated by partnerships with stakeholder teams, stakeholder domain expertise, and individual contributor creativity. DetEng is part of a larger Detection and Response team which includes Attacker Emulation, Security Incident Response and Threat Intelligence, and Enterprise Governance and Risk.


The Role
We are looking for an experienced candidate to help mature and expand our existing detection frameworks, platforms, and portfolio through the use of machine learning capabilities. The focus of our team is to create and continually improve detections that run on our own platforms to minimize risk to Netflix by proactively surfacing malicious or anomalous behavior to identify attacker presence or activity. We are a tight-knit team that provides value by creating compensating detective controls in order to shorten the time to discovery. Using a risk-based prioritization mindset, we focus our efforts to generate the largest impact and benefits for Netflix.


Desired Background

• You have at least 5 years of experience implementing anomaly detection methods at scale, ideally using ML, with a detection-as-code approach.
• You are passionate about using your software engineering skills in pursuit of reducing risk and improving the security space.
• You have experience working in a continuous integration and continuous delivery, cloud-based environment.
• You are famil...