Netflix

2 months ago

Machine Learning Manager, Creative & Policy - Ads

✓ Verified Job

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

Source: Company careers pageValidated by: Fursa AI

Last checked: 21 hours agoStatus: Live

Job Summary

Lead the Creative & Policy DSE team for Netflix Ads, designing, developing, and operating ML algorithms that understand creatives and enforce advertising policy using multimodal LLMs/VLMs. Hire and grow Machine Learning Scientists, Analytics Engineers, and Data Scientists, partner with Product and Engineering, and drive a 0–1 roadmap to auto-review creatives, extract insights, and deliver trustworthy technical outputs that shape the business.

Location: United States

Workplace: Onsite

Employment Type: Full time

Job Function: Data Science & Machine Learning

Seniority: Manager level

Key Responsibilities

•Hire, inspire, and grow a high-performing team of Machine Learning Scientists, Analytics Engineers, and Data Scientists.
•Lead partnerships across product, engineering, consumer insights, content, and strategy.
•Instill an inclusive, innovative, and collaborative team culture.
•Develop team charter and roadmap to optimize impact and reflect evolving business needs.
•Ensure the team produces consistently trustworthy, high-quality technical outputs that influence the business.

Pay and Benefits

Salary: USD 523,000 - 920,000 annually

Equity and Bonus:Equity

Perks:Health Insurance401kEquityDisabilityHsa/fsaPaid LeaveLife Insurance

Key Requirements

•Demonstrated tenacity, resilience, and leadership experience to organize and drive cross-functional projects and propose solutions.
•Ability to be both quantitative and qualitative, assessing complex systems and using strong EQ to be a product ambassador.
•Experience as a player-coach who can develop roadmaps and strategy and execute technical work with consistent high-quality outputs.
•Superb communication skills for relationships across technical and creative audiences, including meticulous writing and presentations.
•Experience working with multimodal LLMs, VLMs and building/leading hybrid analytics, data, and ML teams in the Ads space.

Experience:AdsArtificial intelligenceMachine learningAnalyticsData science

Skills:LeadershipCross-functional collaborationCommunicationQuantitative and qualitative reasoningStakeholder management

Tech Stack:Multimodal LLMsVLMsMLAIAnalyticsDataMachine 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

Glassdoor: 4.1

Website LinkedIn Glassdoor

Loading job details...

Preparing the role view and application actions.

Netflix

2 months ago

Machine Learning Manager, Creative & Policy - Ads

✓ Verified Job

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

Source: Company careers pageValidated by: Fursa AI

Last checked: 21 hours agoStatus: Live

Job Summary

Location: United States

Workplace: Onsite

Employment Type: Full time

Job Function: Data Science & Machine Learning

Seniority: Manager level

Key Responsibilities

•Hire, inspire, and grow a high-performing team of Machine Learning Scientists, Analytics Engineers, and Data Scientists.
•Lead partnerships across product, engineering, consumer insights, content, and strategy.
•Instill an inclusive, innovative, and collaborative team culture.
•Develop team charter and roadmap to optimize impact and reflect evolving business needs.
•Ensure the team produces consistently trustworthy, high-quality technical outputs that influence the business.

Pay and Benefits

Salary: USD 523,000 - 920,000 annually

Equity and Bonus:Equity

Perks:Health Insurance401kEquityDisabilityHsa/fsaPaid LeaveLife Insurance

Key Requirements

•Demonstrated tenacity, resilience, and leadership experience to organize and drive cross-functional projects and propose solutions.
•Ability to be both quantitative and qualitative, assessing complex systems and using strong EQ to be a product ambassador.
•Experience as a player-coach who can develop roadmaps and strategy and execute technical work with consistent high-quality outputs.
•Superb communication skills for relationships across technical and creative audiences, including meticulous writing and presentations.
•Experience working with multimodal LLMs, VLMs and building/leading hybrid analytics, data, and ML teams in the Ads space.

Experience:AdsArtificial intelligenceMachine learningAnalyticsData science

Skills:LeadershipCross-functional collaborationCommunicationQuantitative and qualitative reasoningStakeholder management

Tech Stack:Multimodal LLMsVLMsMLAIAnalyticsDataMachine 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

Glassdoor: 4.1

Website LinkedIn Glassdoor