Senior ML Engineer - Real-Time Ad Inventory Forecasting

Netflix, Inc.; Los Gatos (CA); On-site; USD 466,000 - 750,000; Full time

Benefits offered by this job

Comprehensive health plans

401k retirement plan with employer match

Stock option program

Disability programs

Flexible spending accounts

Paid leave of absence programs

Job summary

Netflix, Inc. is seeking an experienced individual to build end-to-end ML model deployment infrastructure for low-latency real-time advertising systems. Responsibilities include handling large volumes of data and productionizing models for campaign effectiveness. Salary ranges from $466,000 to $750,000, reflecting candidate expertise and market indicators.

The role offers comprehensive benefits, including health plans, life and serious injury benefits, stock options, and more.

Qualifications

• Experience in building ML model deployment and inference infrastructure for low-latency real-time ad systems.
• Experience handling large volumes of data with big-data tools like Spark.
• Experience with productionizing predictive models for advertising campaign effectiveness.

Responsibilities

• Build end-to-end ML model deployment and inference infrastructure for real-time advertising systems.
• Handle data at large volumes with big-data tools.
• Productionize predictive models for advertising campaign effectiveness.

Skills

Building ML model deployment infrastructure

Handling large data with Spark

Productionizing predictive models

Building simulation solutions for inventory forecasting

Understanding advertising marketplace

Lucene indexing

Familiarity with ad tech systems

Industry standards contribution (VAST, OpenRTB)

Legal compliance in ad-tech

Experience in CTV space

Tools

Spark

Job description

Netflix, Inc. is seeking an experienced individual to build end-to-end ML model deployment infrastructure for low-latency real-time advertising systems. Responsibilities include handling large volumes of data and productionizing models for campaign effectiveness. Salary ranges from $466,000 to $750,000, reflecting candidate expertise and market indicators.

The role offers comprehensive benefits, including health plans, life and serious injury benefits, stock options, and more.