1 day ago
Base Salary
$466k - $750k/yr
Responsibilities
- Build end-to-end ML model deployment and inference infrastructure for low-latency real-time advertising systems.
- Process extremely large volumes of data using big-data tools such as Spark.
- Productionize predictive models forecasting advertising campaign impressions, reach, clicks, conversions, and ROI.
- Build scalable simulations for demand fluctuations, pricing strategies, and inventory allocation.
- Develop publisher inventory-management systems supporting dynamic pricing, rate cards, product packaging, inventory splits, and yield optimization.
- Collaborate with science, product, engineering, operations, design, and consumer research stakeholders to deploy models at scale.
Requirements
- Experience building end-to-end ML model deployment and inference infrastructure for low-latency real-time ad systems.
- Experience handling extremely large data volumes with big-data tools such as Spark.
- Experience productionizing predictive models for advertising campaign effectiveness.
- Experience building scalable inventory-scenario simulation solutions.
- Understanding of advertising marketplaces and publisher-side inventory-management challenges.
- Preferred experience with Lucene indexes and large-scale indexing.
- Preferred familiarity with ad servers, bidders, yield optimizers, SSPs, DSPs, yield optimization, product recommendation, and dynamic inventory allocation.
- Experience with advertising technology standards such as VAST or OpenRTB is preferred.
- Familiarity with global advertising regulations, Connected TV constraints, or ads industry consortium efforts is preferred.
Benefits
- Annual salary and the option to determine the mix of salary and stock options; no bonuses.
- Health plans, mental health support, a 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 supports accommodation requests during the hiring process and is an equal-opportunity employer.
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).