Machine Learning Scientist 6 - Ads Member Understanding

Netflix
United States
Workplace: RemoteFull timeUSD 600,000 - 1,066,000 annuallyFunction: Data Science & Machine LearningEducation: phdSkills: ["Communication","Cross-functional collaboration","Business acumen","Technical strategy communication","Judgment"]

Lead user-understanding ML efforts for Netflix’s ads ranking organization within Ads Data Science and Engineering. Leverage multimodal signals and LLM-based techniques to build a user-understanding foundation that improves ad targeting, ranking, and bidding, while shaping privacy-aware 1P/3P data strategy. Partner across teams to productionize signals and measure incremental value through rigorous online and offline evaluation frameworks.

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FursaFursa
Netflix
Netflix
2 months ago

Machine Learning Scientist 6 - Ads Member Understanding

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Last checked: 21 hours agoStatus: Live

Job Summary

Lead user-understanding ML efforts for Netflix’s ads ranking organization within Ads Data Science and Engineering. Leverage multimodal signals and LLM-based techniques to build a user-understanding foundation that improves ad targeting, ranking, and bidding, while shaping privacy-aware 1P/3P data strategy. Partner across teams to productionize signals and measure incremental value through rigorous online and offline evaluation frameworks.
Location: United States
Workplace: Remote
Employment Type: Full time
Job Function: Data Science & Machine Learning
Seniority: Mid level

Key Responsibilities

  • •Set the technical direction for user understanding using multimodal signals from content, viewing behavior, and context.
  • •Shape and deliver a scalable Netflix data strategy for user understanding, partnering with privacy, legal, and platform engineering.
  • •Partner with ranking, bidding, and pacing teams to get user-understanding signals into production and drive downstream impact.
  • •Build rigorous online and offline evaluation frameworks to quantify incremental value of new signals, representations, and models.
  • •Communicate technical strategy, trade-offs, and results to technical and non-technical audiences, including senior leadership.

Pay and Benefits

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

Key Requirements

  • •Advanced degree (PhD or Master’s) in Computer Science, Statistics, Mathematics, or related quantitative field, or equivalent industry experience.
  • •7+ years building and shipping production ML systems at scale, with staff/senior-staff-level scope and impact.
  • •Proven track record building user/audience understanding systems (e.g., embeddings, representation learning, identity resolution), ideally for monetization or ads.
  • •Hands-on experience applying LLMs to user modeling, content understanding, or recommendation.
  • •Proficiency in Python, Scala, or Java, with experience prototyping and deploying models on large-scale production data.
Experience:Production machine learningAdsRecommendationIdentity resolutionLLMMultimodal
Education:PhD / Doctorate in Computer Science, Statistics, Mathematics, or a related quantitative field
Skills:CommunicationCross-functional collaborationBusiness acumenTechnical strategy communicationJudgment
Tech Stack:PythonScalaJavaLLMEmbeddingsRepresentation learning

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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