Machine Learning Scientist (L6) - Live Ads

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

Build and lead the ML technical roadmap for Netflix’s Live Ads, partnering with the Live Ads product team and collaborating across ML pods spanning forecasting, targeting & personalization, bidding & pacing, auction, and yield optimization. Design and implement ML and optimization algorithms to improve ad quality and performance, and develop online/offline evaluation frameworks using large-scale production data. Communicate trade-offs and experiment results to technical and non-technical stakeholders, including senior leadership.

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FursaFursa
Netflix
Netflix
2 months ago

Machine Learning Scientist (L6) - Live Ads

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

Job Summary

Build and lead the ML technical roadmap for Netflix’s Live Ads, partnering with the Live Ads product team and collaborating across ML pods spanning forecasting, targeting & personalization, bidding & pacing, auction, and yield optimization. Design and implement ML and optimization algorithms to improve ad quality and performance, and develop online/offline evaluation frameworks using large-scale production data. Communicate trade-offs and experiment results to technical and non-technical stakeholders, including senior leadership.
Location: Panama, United States
Workplace: Remote
Employment Type: Full time
Job Function: Data Science & Machine Learning
Seniority: Mid level

Key Responsibilities

  • •Define and drive the ML technical roadmap in partnership with the Live Ads product team, aligning technical investments with business priorities.
  • •Architect and deliver ML solutions across forecasting, targeting & personalization, bidding & pacing, auction, and yield optimization in collaboration with horizontal pods.
  • •Design and implement machine learning and optimization algorithms to improve ad quality and performance.
  • •Build, train, and evaluate models using large-scale production data and develop online/offline evaluation frameworks.
  • •Partner with the product team to define optimization objectives, constraints, and trade-offs; communicate decisions and experiment results to stakeholders.

Pay and Benefits

Salary: USD 600,000 - 1,066,000 annually
Equity and Bonus:Equity
Perks:Health Insurance401kEquityDisability ProgramsPaid Leave

Key Requirements

  • •PhD or Master’s in Computer Science, Statistics, Mathematics, or a related quantitative field.
  • •7+ years building and shipping production machine learning systems at scale, with staff/senior staff-level scope and impact.
  • •Deep knowledge of machine learning, optimization, and data analysis techniques.
  • •Experience in ad optimization stack areas such as targeting, ranking, and bidding (Live ads is a plus).
  • •Proficiency with Python, Scala, or Java, plus strong communication to influence technical direction and collaborate across teams.
Experience:Production machine learningAd techReal-time adsLarge-scale data
Education:PhD / Doctorate
Skills:CommunicationCollaborationTechnical leadershipBusiness acumen
Tech Stack:PythonScalaJava

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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