Software Engineer 5 - Forecasting & Simulation

Netflix

Los Gatos, California, United States of America
Base: $388,000.00 - $558,000.00; bonus/equity: no ...
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Building sophisticated ads forecasting systems
High performance ad server simulation
Handling data at extremely large volumes
** Netflix is seeking a Software Engineer for its Forecasting & Simulation team to build sophisticated advertising systems that integrate machine learning and high-performance simulations. The ideal candidate will have experience in handling large data volumes and developing cloud-based applications, particularly in the advertising space. **

Job Summary

  • The Ads Inventory Management & Forecasting team is dedicated to developing and maintaining E2E inventory forecasting, underwriting and simulation systems.
  • Netflix offers a unique compensation structure where employees choose how much of their total compensation they want in salary versus stock options annually.
  • Full-time salaried employees are immediately entitled to flexible time off and comprehensive benefits including health plans and a 401(k) Retirement Plan.

Matching Summary

Match Score: 75

** Netflix is seeking a Software Engineer for its Forecasting & Simulation team to build sophisticated advertising systems that integrate machine learning and high-performance simulations. The ideal candidate will have experience in handling large data volumes and developing cloud-based applications, particularly in the advertising space. **

Salary

Base: $388,000.00 - $558,000.00; Bonus/Equity: No bonuses; annual salary vs stock options choice; Benefits: Health Plans, 401(k) match, Stock Option Program, 35 days PTO or flexible time off

Skills & Requirements

Must-have

  • building sophisticated ads forecasting systems
  • high performance ad server simulation
  • handling data at extremely large volumes
  • big data tools like Spark
  • building high-throughput low-latency distributed systems

Nice-to-have

  • understanding of Lucene index
  • productionizing ML models at scale
  • contributed to ads industry technology standard
  • familiarity with legal compliance and ad regulations
  • experience working in CTV space

Key Requirements

  • Professional experience in building ads forecasting systems
  • Proven experience handling large volume data with Spark
  • Experience productionizing ML models and optimization algorithms

Work Rights

Not specified

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