Machine Learning Scientist 5 - Ads Bidding

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

Design and implement machine-learning–driven bidding algorithms for ad personalization, optimizing performance against objectives like clicks, conversions, CPA, and ROAS. Build, train, and evaluate models on large-scale production data while handling marketplace dynamics, seasonality, and distribution shifts. Create online/offline evaluation frameworks, influence auction/pricing mechanism design, and partner with product teams to define objectives and communicate results to technical and non-technical stakeholders.

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FursaFursa
Netflix
Netflix
3 months ago

Machine Learning Scientist 5 - Ads Bidding

✓ Verified Job

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Source: Company careers pageValidated by: Fursa AI
Last checked: 22 hours agoStatus: Live

Job Summary

Design and implement machine-learning–driven bidding algorithms for ad personalization, optimizing performance against objectives like clicks, conversions, CPA, and ROAS. Build, train, and evaluate models on large-scale production data while handling marketplace dynamics, seasonality, and distribution shifts. Create online/offline evaluation frameworks, influence auction/pricing mechanism design, and partner with product teams to define objectives and communicate results to technical and non-technical stakeholders.
Location: United States
Workplace: Remote
Employment Type: Full time
Job Function: Data Science & Machine Learning

Key Responsibilities

  • •Design and implement machine learning–driven bidding algorithms to optimize ad performance against objectives like clicks, conversions, CPA, and ROAS.
  • •Build, train, and evaluate bidding algorithms on large-scale production data, ensuring robustness to marketplace dynamics, seasonality, and distribution shifts.
  • •Develop online and offline evaluation frameworks to measure the impact of bidding algorithms and policy changes.
  • •Inform auction and pricing mechanism design to align bidding algorithms, marketplace efficiency, and business goals.
  • •Partner with product teams to define bidding objectives, constraints, and trade-offs, and communicate decisions and experiment results to technical and non-technical stakeholders.

Pay and Benefits

Salary: USD 466,000 - 750,000 annually
Equity and Bonus:Equity
Perks:Health Insurance401kEquityDisability InsurancePaid 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, and data analysis techniques.
  • •Experience prototyping and deploying algorithms using large-scale production data.
  • •Strong ability to translate technical results into business impact, including experience building bidding algorithms.
Experience:Ad techMachine learningProduction data
Education:Master's
Skills:CommunicationCollaborationBusiness 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
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