Netflix posts up to $900K for ad decisioning engineer
Netflix is hiring a senior Distributed Systems Engineer for its Decisioning & Optimization team with a listed salary range of $499,000 to $900,000 per year. The role focuses on architecting real-time ad decisioning systems, scaling infrastructure for serving high-performance machine learning models for ads, and designing real-time pacing systems for ad budget delivery. The position requires over 10 years of experience in distributed systems and at least 3 years in the advertising domain.
Key Takeaways
- The job is based in New York, New York, with responsibilities covering architecture reviews and capacity planning.
- Netflix wants the engineer to architect and evolve real-time ad decisioning optimization paths.
- The role includes scaling ads model-serving infrastructure for high-performance ML models.
- The position calls for 10+ years in distributed systems and backend services, plus 3+ years in the ads domain.
Why It Matters
Netflix is signaling that ad decisioning is a core infrastructure problem, not just a media-sales layer. The listing ties together real-time ad serving, ML model serving, and pacing systems for budget delivery, which suggests the company is investing in the control plane behind ad operations. For the broader streaming stack, the role shows how ad-supported video now depends on low-latency distributed systems and applied machine learning. Watch for whether Netflix posts more jobs around Decisioning & Optimization or adjacent ad-tech infrastructure.
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