Manager - Site Reliability Engineer, Core
Los Gatos, CA US
As a global company, Netflix's customers come from diverse backgrounds. And each of these backgrounds allow them to experience joy from Netflix in their own unique way. Ultimately, this joy is rooted in our customers' ability to trust Netflix. At Netflix, we earn this trust through our actions every day. And we work hard to continue to build this trust with our customers throughout the world.
The Customer Trust team at Netflix is a central security team that sets a broad strategic vision in the trust and safety space. We execute on that vision through both technical work on the team and cross-functional partnerships, addressing problems related to account takeover, service abuse, customer targeted scams, DDoS and more. We are looking for a Machine Learning engineer to design and implement state-of-the-art machine learning algorithms in distributed frameworks, such as Spark, which detect anomalous fraudulent patterns of at-scale attacks.
The person in this role will focus on advancing our detection capabilities in the customer journey, including analysis of signals and accuracy of detection. In collaboration with other team members, you will be responsible for developing end-to-end pipelines necessary to enhance accuracy of real-time model predictions. You will build a data backend composed of transactional and analytic databases, maintaining data that supports fast and reliable analytics and dive into data to discover hidden patterns and conduct error/deviation analysis. You will collaborate to develop large-scale data modeling experiments, evaluating against strong baselines, and extracting key statistical insights and/or cause and effect relations.
Desired skills and background:
• Passionate about protecting our customers
• Ability to collaborate effectively within and across teams
• Ability to define and execute short and long term technical goals
• Experience in designing and building highly scalable distributed ML models in production (Scala, applied machine learning, proficient in statistical methods, algorithms)
• Experience with analytics (SQL, Presto, Spark, Python, critical thinking)
• Experience working with end-to-end pipelines and/or crowd-sourced data labeling a plus
We are looking for thoughtful security professionals who enable our mission and support our culture of freedom and responsibility. You can learn more about life at Netflix by watching our security talks or exploring our open source work.
The Netflix culture permeates our work environment. It determines who we hire, how we work together, and how we make decisions. It encourages us to bring our best every day while valuing collaboration over individual achievement.
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