Applied Machine Learning Backend Engineer (L5), Monitoring & Alerting

Netflix is seeking a Staff-level Applied Machine Learning Backend Engineer to join their Observability Team's Monitoring and Alerting division. This role combines backend engineering with advanced machine learning, focusing on building and maintaining Netflix's AI Ops platform. The position offers an opportunity to work with cutting-edge technologies, processing billions of real-time data points, and implementing innovative solutions using LLMs and Generative AI.

The role is part of Netflix's engineering group that enables real-time monitoring, anomaly detection, and system health management across their global entertainment platform serving 283 million subscribers. You'll be responsible for developing and maintaining critical observability products, implementing ML algorithms for system fault detection, and mentoring junior engineers.

The ideal candidate brings 6+ years of experience in high-scale environments, with expertise in both backend development and machine learning. Proficiency in Java/JVM languages and Python is required, along with experience in distributed computing frameworks like Apache Spark and Kafka. The position offers competitive compensation ($100,000-$720,000), comprehensive benefits, and the opportunity to work remotely while contributing to Netflix's innovative technology stack.

This role is perfect for someone who combines technical expertise with strong collaboration skills and a product mindset. You'll be working in Netflix's unique culture, which emphasizes ownership, innovation, and inclusion, while helping to build the future of entertainment technology through advanced ML and observability solutions.