Machine Learning Manager, Creative & Policy - Ads
Netflix - Los Gatos,California,United States of America
Posted Apr 30, 2026
Benefits
- Parental leave
- Not verified
- Non-birth-parent leave
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- Family-building benefits
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- Fertility benefits: Not verified
- Adoption assistance: Not verified
- Surrogacy assistance: Not verified
- Mental health support
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- Relocation assistance
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- Childcare support
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- Learning budget
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- Verification
- Not verified last checked Jun 13, 2026
- Salary
- Not verified not verified - source not recorded; timestamp not recorded
- 401(k) match
- Listed Source: EMPLR_CONTRIB_INCOME_AMT. source Last checked Jun 13, 2026.
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Schedule
- Shift type
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- Weekend work
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Application
- Cover letter
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- Assessment
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- Deadline
- Not stated
Where they hire
State eligibility is not yet verified.
About this role
Machine Learning Manager, Creative & Policy - Ads Los Gatos,California,United States of America At Netflix, our mission is to entertain the world. Together, we are writing the next episode - pushing the boundaries of storytelling, global fandom and making the unimaginable a reality. We are a dream team obsessed with the uncomfortable excitement of discovering what happens when you merge creativity, intuition and cutting-edge technology. Come be a part of what's next. In April 2022, we announced that we are creating a new lower-priced, ad-supported tier for our customers. We are now working toward our goal of providing more choice for consumers and a premium, better-than-linear TV brand experience for advertisers. That said, we are looking for the founding members of this new business area for Netflix! The Creative & Policy DSE team design, develop, and operate algorithms governing creative understanding and policy enforcement. We focus on using Machine Learning & AI to auto-review creatives, assign attributes, and enforce policy restrictions. Your team is also responsible for extracting insights from Creative data and providing guidance to the business, both strategically and operationally. You are expected to build and lead a strong team with ML/AI and analytical talents, partner closely with Product & Engineering, and operate in a 0 - 1 space with high ambiguity. Responsibilities Hire, inspire, and grow high-performing Machine Learning Scientists, Analytics Engineers, and Data Scientists. Lead strong partnerships with stakeholders from across the business - from product, engineering, to consumer insights, content, and strategy. Instill an inclusive
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