Netflix
Distributed Systems Engineer 5 - Decisioning & Optimization
Found: Today
This role is based in New York, New York, and involves working on real-time ad decisioning systems.
Compensation:
$388,000.00 - $619,000.00/year
Responsibilities:
- Build and evolve the real-time ad decisioning path including ranking, scoring, bidding, and pacing.
- Develop and operate ML model serving infrastructure.
- Partner with Science and Platform teams to deploy algorithms.
- Implement real-time pacing systems for budget delivery accuracy.
- Contribute to goal-based delivery optimization.
Requirements:
- 7+ years building distributed systems and backend services.
- 2+ years of ads domain experience.
- Experience with ML model serving infrastructure.
- Understanding of ad serving concepts.
Tech stack:
Distributed systems, ML model serving, ad serving technologies.
