6 days ago
Base Salary
$466k - $750k/yr
Responsibilities
- Build end-to-end machine learning model deployment and inference infrastructure for low-latency, real-time advertising systems.
- Develop machine learning models for ad targeting and lookalike audience expansion.
- Design and build user and contextual signals and audience-targeting features for advertising platforms.
- Process 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.
- Support privacy-conscious, relevant ad experiences and advertiser outcomes.
Requirements
- Professional 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.
- Proficiency in Java, C++, Python, or Scala, with a solid understanding of multithreading and memory management.
- Experience handling extremely large data volumes with big-data tools such as Spark.
- Preferred experience with data privacy, governance, security concepts, Privacy by Design, machine-learning-based ad targeting, and connected-TV advertising constraints.
Benefits
- Comprehensive health plans and 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 of absence programs.
- Full-time salaried employees are immediately entitled to flexible time off.
- Full-time hourly employees accrue 35 days annually for vacation, holidays, and sick paid time off.
Tech Stack
Categories
About Netflix
Netflix is one of the world’s leading entertainment services offering TV series, films, games and live programming across a wide variety of genres and languages. Members can play, pause and resume watching as much as they want, anytime, anywhere, and can change their plans at any time.