ML Engineer at Netflix

Compensation

$466,000 – $750,000/yr

Type: Full-time

Description

Netflix is seeking an experienced ML Engineer to join their Decisioning & Optimization team. This role involves building and operating end-to-end ML model serving infrastructure for real-time ad decisioning, optimizing features, and ensuring reliable model performance. The ideal candidate will have extensive experience in ML infrastructure, particularly in advertising contexts, and possess strong programming skills.

Required Skills

Software Engineering
ML Infrastructure
Model Serving
Java
Python
Scala
Multi-threading
Memory Management
Performance Optimization

Additional Information

Required Previous Experiences: 7+ years of software engineering experience
3+ years focused on ML infrastructure, model serving, or ML platform work in an ads or real-time decisioning context
Preferred Qualifications: Ads domain experience: ranking models, bid scoring, reserve pricing, yield optimization, dynamic allocation across guaranteed and non-guaranteed inventory
Experience with auction mechanics: multi-stage ranking, bid shading, bid prediction, marketplace competition dynamics
Built or improved budget pacing and delivery control systems
Built simulation or counterfactual testing platforms for marketplace or auction systems
Experience with A/B testing infrastructure for model rollouts: online experiments, holdout groups, interference-aware evaluation in marketplace settings
Familiar with CTV constraints: server-side ad insertion, live event ad serving at scale, burst traffic patterns
JVM ecosystem