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Machine Learning Scientist 5 - Ads Demand Science

Netflix · USA - Remote · Remote

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About Netflix

Watch Netflix movies & TV shows online or stream right to your smart TV, game console, PC, Mac, mobile, tablet and more. Backed by IVP and Redpoint.

About the role

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. Found on 1752vc Careers, the job board for startup and VC roles.

What they're looking for

  • Advanced degree (PhD or Master's) in Computer Science, Statistics, Mathematics, or a related quantitative field
  • Experience building and shipping ML models or systems in production
  • Curious and motivated to learn across ML domains, not attached to a single specialty
  • Strong collaborator who's energized by building alongside others, not just independently
  • Comfortable with ambiguity, able to take ownership with minimal oversight
  • Proficient in Python and SQL
More about this role

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 Demand Science team within Ads Data Science & Engineering plays a crucial role in Netflix Ads growth by equipping the business to efficiently attract, activate, and scale advertiser demand. As a machine learning scientist in Media Planning, you'll work across the ML models and AI agents that turn advertiser briefs into optimized, ready-to-buy media plans. We're looking for a generalist who's curious, motivated to learn, and eager to build alongside the rest of the team, not someone who's already settled into one corner of ML.

  • Design and ship production ML models and conversational AI agents that parse advertiser requests and help sellers plan and compare media plan options.
  • Build and evolve the systems that evaluate and improve agent and model decision quality over time.
  • Partner with scientists and...

Read the full posting on Netflix's site ↗

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