Senior Machine Learning Manager, Merchandising and Content Understanding
Netflix - USA - Remote
Posted Apr 1, 2026
Benefits
- Parental leave
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- 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
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- 401(k) match
- Listed Source: EMPLR_CONTRIB_INCOME_AMT. source Last checked Jun 13, 2026.
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Schedule
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- Weekend work
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Application
- Cover letter
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- Assessment
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- Deadline
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Where they hire
State eligibility is not yet verified.
About this role
Senior Machine Learning Manager, Merchandising and Content Understanding USA - Remote 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. The Merchandising and Content Understanding Data Science and Engineering organization shapes how members discover and engage with Netflix. We build foundational algorithmic capabilities and agentic frameworks for content understanding that power merchandising, discovery, ratings, and a wide range of applications across Netflix. We are seeking a Senior Manager to lead a group of Research Scientists, ML Engineers, Data Scientists, and Analytics Engineers focused on Multimodal Large Language Models (MLLMs) and agentic systems for deep, complex content understanding. In this role, you will own a multi‑domain portfolio, define strategy, and drive high‑impact algorithmic systems that shape how Netflix represents and merchandises its catalog globally. Responsibilities Define and execute a cohesive strategy for how MLLMs and agentic systems power deep, complex content understanding applications across Netflix. Oversee end‑to‑end initiatives spanning research, ML engineering, measurement science, and continuous improvement. Manage and grow a multidisciplinary organization: attract and retain top talent across levels and disciplines; develop strong technical leaders and managers. Shape the organizational structure, operating model, and interfaces between teams to maximize leverage, alignment, and velocity. Partner closely with cross‑functional leaders to define
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