Research Scientist 6 - Ad Marketplace

Netflix
Panama
Workplace: RemoteFull timeUSD 600,000 - 1,066,000 annuallyFunction: Data Science & Machine LearningEducation: phdSkills: ["Communication","Collaboration","Business acumen"]

Design and implement machine learning and optimization algorithms for Netflix’s Ad Marketplace, improving ad quality and performance. Build, train, and evaluate models using large-scale production data, and develop online/offline evaluation frameworks to measure impact. Partner with product teams to define objectives, constraints, and trade-offs, and communicate experiment results and technical guidance to drive adoption of ML-driven solutions.

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Netflix
Netflix
2 months ago

Research Scientist 6 - Ad Marketplace

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Last checked: 21 hours agoStatus: Live

Job Summary

Design and implement machine learning and optimization algorithms for Netflix’s Ad Marketplace, improving ad quality and performance. Build, train, and evaluate models using large-scale production data, and develop online/offline evaluation frameworks to measure impact. Partner with product teams to define objectives, constraints, and trade-offs, and communicate experiment results and technical guidance to drive adoption of ML-driven solutions.
Location: Panama
Workplace: Remote
Employment Type: Full time
Job Function: Data Science & Machine Learning
Seniority: Mid level

Key Responsibilities

  • •Design and implement machine learning 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 the impact of model and algorithm improvements.
  • •Partner with product teams to define optimization objectives, constraints, and trade-offs aligned with business and product goals.
  • •Communicate technical decisions, trade-offs, and experiment results to technical and non-technical stakeholders and guide adoption.

Pay and Benefits

Salary: USD 600,000 - 1,066,000 annually
Equity and Bonus:Equity
Perks:Health Insurance401kEquityDisabilityPaid Leave

Key Requirements

  • •Advanced degree (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, auction design, pricing, and data analysis techniques.
  • •Experience prototyping and deploying algorithms using large-scale production data.
  • •Experience with ad optimization (e.g., targeting, ranking, bidding) and strong communication and collaboration skills.
Experience:Ad techMachine learning
Education:PhD / Doctorate
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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