This role pays more than
95%
of similar roles. Most pay
$147,500–$236,900
— the shaded band above.
At the midpoint, this role pays about
$504k
versus about
$192k
for comparable roles.
Based on 240 similar postings.
Employer
About Netflix
Netflix is the world''s leading streaming entertainment service, offering a vast library of TV series, films, documentaries, and original content to subscribers in over 190 countries. Industry: Streaming Entertainment & Media
Netflix currently has
117 open roles
on FindRole.
Listed pay typically runs
$388,000–$619,000
across 113 roles with salary data.
As a senior systems engineer on the Decisioning & Optimization team at Netflix Ads, you will build and scale core ad decisioning infrastructure, focusing on real-time ranking, scoring, bidding, and pacing under strict latency constraints. You’ll develop ML model serving infrastructure for dozens of concurrent models with sub-20ms P99 inference, partner with Science and Platform teams to deploy algorithms into the serving stack, and create simulation frameworks for offline validation before live rollout. Additionally, you will contribute to goal-based delivery optimization by dynamically allocating budget across demand channels and enhance operational excellence through reliability, observability, and deployment automation. Ideal candidates have 7+ years of experience in building distributed systems at scale, with a focus on ad serving technologies and ML model serving infrastructure.