Machine Learning Scientist 6, Creative & Policy - Ads

Netflix
United States
Workplace: OnsiteFull timeUSD 600,000 - 1,066,000 annuallyFunction: Data Science & Machine LearningSkills: ["Leadership","Communication","Cross-functional collaboration","Quantitative and qualitative analysis","High EQ"]

Design, develop, and operate machine-learning algorithms that understand ad creatives and enforce creative policy for Netflix’s ad-supported tier. Lead a team in a 0–1, high-ambiguity environment, partnering with Product, Engineering, and stakeholder groups to auto-review creatives, assign attributes, and extract strategic insights from creative data. Act as a product ambassador, ensure high-quality technical output, and translate business objectives into actionable analytics.

Loading

Loading job details...

Preparing the role view and application actions.

FursaFursa
Netflix
Netflix
4 months ago

Machine Learning Scientist 6, Creative & Policy - Ads

✓ Verified Job

Canonical indexed version, validated from employer's careers page.

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

Job Summary

Design, develop, and operate machine-learning algorithms that understand ad creatives and enforce creative policy for Netflix’s ad-supported tier. Lead a team in a 0–1, high-ambiguity environment, partnering with Product, Engineering, and stakeholder groups to auto-review creatives, assign attributes, and extract strategic insights from creative data. Act as a product ambassador, ensure high-quality technical output, and translate business objectives into actionable analytics.
Location: United States
Workplace: Onsite
Employment Type: Full time
Job Function: Data Science & Machine Learning
Seniority: Manager level

Key Responsibilities

  • •Hire, inspire, and grow high-performing Machine Learning Scientists, Analytics Engineers, and Data Scientists.
  • •Lead partnerships with stakeholders across Product, Engineering, Consumer Insights, Content, and Strategy.
  • •Develop a team charter and roadmap to optimize impact as business needs evolve.
  • •Act as an ambassador between Product, Engineering, Strategy, and DSE by deepening knowledge of the Netflix Ads product.
  • •Ensure the team produces consistently trustworthy, high-quality technical outputs that influence and impact the business.

Pay and Benefits

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

Key Requirements

  • •Demonstrated leadership experience that enables you to organize and drive cross-functional projects, overcome challenges, and propose solutions.
  • •Ability to work quantitatively and qualitatively to assess complex systems, with strong communication and high EQ for cross-team collaboration.
  • •Experience working with multimodal LLMs and VLMs.
  • •Experience building and leading hybrid Analytics, Data, and ML teams in the Ads space.
  • •Capacity to translate business objectives into actionable analyses and quantitative product/business recommendations.
Experience:AdvertisingAdsMachine learningAI
Skills:LeadershipCommunicationCross-functional collaborationQuantitative and qualitative analysisHigh EQ
Tech Stack:Multimodal LLMsVLMsMachine learningAIAnalytics

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
WebsiteLinkedInGlassdoor