1 month ago
Base Salary
$466k - $750k/yr
Responsibilities
- Build end-to-end machine learning model deployment and inference infrastructure for low-latency real-time ad systems.
- Develop machine learning models for ads targeting and lookalike audience expansion.
- Design and build user and contextual signals and audience-targeting features for advertising platforms.
- Handle extremely large data volumes using big data tools such as Spark.
- Collaborate with science, product, engineering, operations, design, and consumer research stakeholders to productionize and deploy models at scale.
Requirements
- Proficiency in Java, C++, Python, or Scala, with a solid understanding of multithreading and memory management.
- Experience building end-to-end ML model deployment and inference infrastructure for low-latency real-time ad systems.
- Experience building machine learning models for ad targeting and lookalike expansion.
- Professional experience designing and building user and contextual signals and audience-targeting features for ad platforms.
- Experience handling data at extremely large volumes with big data tools such as Spark.
Benefits
- Comprehensive health plans, mental health support, 401(k) retirement plan with employer match, stock option program, disability programs, health savings and flexible spending accounts, family-forming benefits, and life and serious injury benefits.
- Paid leave programs; full-time salaried employees receive flexible time off immediately.
- Netflix generally provides annual salary with compensation allocated between salary and stock options.
Tech Stack
Categories
About Netflix
Netflix builds and operates a global streaming service for TV series, films, games, and live programming, and produces original content through its in-house studio. It serves consumers in 190+ countries via subscription and ad-supported plans on internet-connected devices. Founded in 1997 and headquartered in Los Gatos, California, Netflix is a public company traded on NASDAQ (NFLX).