Machine Learning Engineer 5 - Ads Signals & Targeting

Netflix
Panama
Workplace: RemoteFull timeUSD 466,000 - 750,000 annuallyFunction: Data Science & Machine LearningSkills: ["Cross-functional collaboration","Privacy-mindedness"]

Build and deploy low-latency machine learning models that power ads signals, identity resolution, and behavioral/contextual audience targeting. Create end-to-end inference and deployment infrastructure for real-time ad systems, engineering large-scale data pipelines and audience features. Partner across science, product, engineering, operations, design, and consumer research to productionize models at scale while maintaining privacy and ensuring brand safety in ad serving.

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FursaFursa
Netflix
Netflix
5 months ago

Machine Learning Engineer 5 - Ads Signals & Targeting

✓ Verified Job

Canonical indexed version, validated from employer's careers page.

Source: Company careers pageValidated by: Fursa AI
Last checked: 9 hours agoStatus: Live

Job Summary

Build and deploy low-latency machine learning models that power ads signals, identity resolution, and behavioral/contextual audience targeting. Create end-to-end inference and deployment infrastructure for real-time ad systems, engineering large-scale data pipelines and audience features. Partner across science, product, engineering, operations, design, and consumer research to productionize models at scale while maintaining privacy and ensuring brand safety in ad serving.
Location: Panama
Workplace: Remote
Employment Type: Full time
Job Function: Data Science & Machine Learning

Key Responsibilities

  • •Design and build low-latency ML inference infrastructure for real-time ad delivery.
  • •Develop models and systems for identity resolution and ads targeting, including lookalike expansion.
  • •Engineer user and contextual signal features for audience targeting on ad platforms.
  • •Work with large-scale data to support model training and continuous refinement at scale.
  • •Partner with cross-functional teams to productionize and deploy models while upholding privacy and brand-safety goals.

Pay and Benefits

Salary: USD 466,000 - 750,000 annually
Equity and Bonus:Equity
Perks:Health Insurance401kEquityPaid Leave

Key Requirements

  • •Experience building end-to-end ML model deployment and inference infrastructure for low-latency real-time ad systems.
  • •Experience building ML models for ads targeting and lookalike expansion.
  • •Proficiency in Java, C++, Python, or Scala with a solid understanding of multi-threading and memory management.
  • •Experience handling extremely large datasets using big data tools like Spark.
  • •Ability to collaborate cross-functionally to productionize and deploy models at scale.
Experience:Machine learningAdvertisingReal-time systemsIdentity resolutionConnected TV
Skills:Cross-functional collaborationPrivacy-mindedness
Tech Stack:JavaC++PythonScalaSpark

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
Glassdoor
Glassdoor: 4.1
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