Software Engineer 5 - Ads Forecasting and Simulation

Netflix
New York
Workplace: OnsiteFull timeUSD 388,000 - 558,000 annuallyFunction: Software EngineeringSkills: ["Collaboration","Cross-functional teamwork","Problem-solving"]

Build distributed ads inventory forecasting and simulation systems that help advertisers, agencies, DSPs, and Netflix stakeholders plan, optimize, and traffic campaigns in near real time. Develop high-throughput, low-latency services that account for frequency capping, targeting, publisher policy, and other business constraints. Work with the Science team to productionize ML models and optimization algorithms, enabling experimentation, analytics, scenario planning, and pricing/packaging use cases.

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FursaFursa
Netflix
Netflix
1 month ago

Software Engineer 5 - Ads Forecasting and Simulation

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Source: Company careers pageValidated by: Fursa AI
Last checked: 4 hours agoStatus: Live

Job Summary

Build distributed ads inventory forecasting and simulation systems that help advertisers, agencies, DSPs, and Netflix stakeholders plan, optimize, and traffic campaigns in near real time. Develop high-throughput, low-latency services that account for frequency capping, targeting, publisher policy, and other business constraints. Work with the Science team to productionize ML models and optimization algorithms, enabling experimentation, analytics, scenario planning, and pricing/packaging use cases.
Location: New York
Workplace: Onsite
Employment Type: Full time
Job Function: Software Engineering
Seniority: Mid level

Key Responsibilities

  • •Develop and maintain end-to-end inventory forecasting, underwriting, and simulation systems for the ads platform.
  • •Enable near real-time, data-driven decisioning for advertisers, agencies, DSPs, and Netflix stakeholders using forecasting.
  • •Support experimentation and scenario planning through simulation capabilities for pricing and packaging use cases.
  • •Build and optimize distributed systems for efficiency, scalability, and high computation workloads on growing ads data.
  • •Partner with the Science team to productionize ML models and optimization algorithms.

Pay and Benefits

Salary: USD 388,000 - 558,000 annually
Equity and Bonus:Equity
Perks:Health Insurance401kEquityDisabilityHsaPaid Leave

Key Requirements

  • •Professional experience building sophisticated ads forecasting systems that involve ML models and high-performance ad server simulation with real-world constraints.
  • •Experience handling extremely large-scale data and building high-throughput, low-latency distributed systems using big data tools like Spark.
  • •General understanding of the advertising marketplace with a focus on ad serving flow.
  • •Experience developing cloud-based applications and comfort with modern programming languages (preferably object oriented).
  • •Experience working with cross-functional teams to deliver large and complex projects.
Experience:AdvertisingBig dataMLCTV
Skills:CollaborationCross-functional teamworkProblem-solving
Tech Stack:SparkML modelsLuceneVASTOpenRTBCloud

Company Brief

Netflix
Global subscription streaming service that produces and distributes movies, TV series, and games across multiple devices, operating worldwide with extensive original content and localized offerings.
Industry: Streaming Platforms
Company Size: Enterprise (1,001+ employees)
Revenue: USD 1B+
Growth: Public Company
Valuation: Public Company (Market Cap in USD)
Funding: IPO / Publicly Listed
Headquarters: Los Gatos, United States
Founded: 1997
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Glassdoor: 4.1
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