1 day ago
Base Salary
$466k - $750k/yr
Responsibilities
- Build and operate production machine learning systems at scale.
- Productionize machine learning models and partner closely with Data Scientists.
- Develop scalable backend services and distributed data pipelines for advertising measurement.
- Build measurement solutions for Brand Lift, incrementality, attribution, and Measurement Insights.
- Support accurate, privacy-safe, and scientifically rigorous measurement of advertising effectiveness.
Requirements
- Experience building advertising measurement products such as Brand Lift, conversion lift, attribution measurement, advertiser A/B testing, or Measurement Intelligence.
- Experience building and operating production machine learning systems at scale.
- Strong software engineering skills for scalable backend services and data pipelines.
- Proficiency in Java, Python, or Scala.
- Experience with causal inference, experimentation, marketing science, streaming, large-scale data processing, MLOps, model serving, customer-facing analytics platforms, AdTech, or MarTech is preferred.
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.
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).