2 days ago
Base Salary
$450k - $774k/yr
Responsibilities
- Build scalable platforms and services for advertising measurement products.
- Develop distributed data processing systems and machine learning-powered measurement solutions.
- Build and operate production machine learning systems at scale.
- Productionize machine learning models and partner closely with Data Scientists.
- Build scalable backend services and data pipelines.
- Support measurement products including Brand Lift, Incrementality, Attribution, and Measurement Insights.
- Help deliver 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.
- Experience productionizing machine learning models and partnering with Data Scientists.
- Strong software engineering skills in scalable backend services and data pipelines.
- Proficiency in Java, Python, or Scala.
- Preferred experience with causal inference, experimentation, or marketing science.
- Preferred experience with streaming and large-scale data processing such as Spark or Flink.
- Preferred experience with MLOps, model serving, and production machine learning operations.
- Preferred experience building customer-facing analytics or measurement platforms.
- Preferred experience in the AdTech or MarTech ecosystem.
Benefits
- Comprehensive health plans and mental health support.
- 401(k) retirement plan with employer match.
- Stock option program.
- Disability programs, health savings accounts, and flexible spending accounts.
- Family-forming benefits and life and serious injury benefits.
- Paid leave of absence programs.
- Full-time salaried employees receive flexible time off immediately.
- Annual salary range of $450,000.00–$774,000.00, varying by location, with compensation allocated between salary and stock options at the employee’s choice.
Tech Stack
Categories
Data EngineeringML Engineering
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).