Machine Learning Scientist 5 - Ad Ranking

Netflix
United States
Workplace: RemoteFull timeUSD 466,000 - 750,000 annuallyFunction: Data Science & Machine LearningEducation: phdSkills: ["Communication","Collaboration","Business acumen"]

Design and implement machine learning and optimization algorithms for ad personalization, improving ad quality and performance across Netflix’s ad-supported tier. Build, train, and evaluate models on large-scale production data and develop online/offline evaluation frameworks to measure impact. Partner with product teams on optimization objectives and trade-offs, and communicate experiment results to both technical and non-technical stakeholders.

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FursaFursa
Netflix
Netflix
4 months ago

Machine Learning Scientist 5 - Ad Ranking

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Last checked: 20 hours agoStatus: Live

Job Summary

Design and implement machine learning and optimization algorithms for ad personalization, improving ad quality and performance across Netflix’s ad-supported tier. Build, train, and evaluate models on large-scale production data and develop online/offline evaluation frameworks to measure impact. Partner with product teams on optimization objectives and trade-offs, and communicate experiment results to both technical and non-technical stakeholders.
Location: United States
Workplace: Remote
Employment Type: Full time
Job Function: Data Science & Machine Learning
Seniority: Mid level

Key Responsibilities

  • •Design and implement ML and optimization algorithms to improve ad quality and performance.
  • •Build, train, and evaluate models on large-scale production data.
  • •Develop online and offline evaluation frameworks to measure impact of improvements.
  • •Partner with product teams to define optimization objectives, constraints, and trade-offs aligned to business goals.
  • •Communicate technical decisions, trade-offs, and experiment results to technical and non-technical stakeholders.

Pay and Benefits

Salary: USD 466,000 - 750,000 annually
Perks:Health Insurance401kEquityDisabilityPaid LeaveHsaFlexible SpendingLife Insurance

Key Requirements

  • •PhD or Master’s in Computer Science, Statistics, Mathematics, or a related quantitative field.
  • •Proficiency in Python, Scala, or Java.
  • •Deep knowledge of machine learning, optimization, and data analysis techniques.
  • •Experience prototyping and deploying algorithms using large-scale production data.
  • •Experience in ad optimization (e.g., targeting, ranking, bidding).
Experience:Ad tech
Education:PhD / Doctorate in Computer Science, Statistics, Mathematics (or related quantitative field)
Skills:CommunicationCollaborationBusiness acumen
Tech Stack:PythonScalaJavaMachine learningOptimization

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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