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# Machine Learning Scientist 6, Creative & Policy - Ads

- **Company:** Netflix, Inc.
- **Location:** Los Gatos, CA, United States
- **Contract:** Permanent contract
- **Skills:** Data Analysis, Machine Learning, Large Language Models
- **Published:** September 3, 2026
- **Apply:** https://www.gamesjobsdirect.com/job/netflix-game-studio/machine-learning-scientist-6-creative-policy-ads/352173

## About the Role

* Demonstrated tenacity, resilience, and leadership experience that enables you to organize and drive cross-functional projects, overcome challenges, and propose solutions.
 * Be both quantitative and qualitative. You should be able to quickly assess and understand complex systems, but also have high EQ, so that you can be a product ambassador to the rest of the organization.
 * You are a player-coach. You can develop roadmaps and strategy, but also execute on technical work and ensure that your team produces consistent high quality outputs.
 * Superb communication skills - You must be able to cultivate strong working relationships, communicate effectively, write meticulously, and give outstanding presentations to both technical and creative audiences.
 * Experience working with multimodal LLMs, VLMs.
 * Experience building and leading hybrid Analytics, Data and ML teams in the Ads space.
 * Capacity and passion to translate business objectives into actionable analyses, and use analytics to guide product and business with quantitative recommendations.
 * A passion for TV and movies and defining the future of entertainment.

## Description

* 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 culture that is innovative and collaborative, both within your team and in the broader organization.
 * Develop a team charter and roadmap that optimizes the impact of the team and reflects evolving business needs.
 * Act as an ambassador between the Product, Engineering, Strategy, and DSE teams by having a deep knowledge of how the Netflix Ads product works.
 * Ensure that your team is producing consistently trustworthy and high-quality technical outputs that influence & impact the business.


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