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Machine Learning Engineer 5 - Decisioning & Optimization at Netflix - ApplyBlast

Machine Learning Engineer 5 - Decisioning & Optimization

Netflix

4 months ago

4.1 on Glassdoor

New York, NY

Onsite

Full Time

Senior

0 applicants

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About this role

As an ML Engineer at Netflix, you will build and operate high-performance model serving infrastructure for a real-time ad decisioning system handling 1M+ queries per second. Your role involves optimizing inference pipelines, managing feature serving with sub-10ms latency, and ensuring production reliability for multi-stage ad selection and auction mechanics.

Responsibilities

Build and operate end-to-end ML model serving infrastructure for real-time ad decisioning
Scale inference paths to support concurrent models with strict sub-20ms latency budgets
Design and optimize feature serving paths ensuring online and offline consistency
Productionize scoring models for multi-stage ad selection and integrate outputs into auctions
Build model performance monitoring systems for drift detection and latency profiling