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Machine Learning Scientist - Ads - Remote

Posted Yesterday
Software Development
Full Time
CA, USA
$170,000 - $720,000/year

Overview

The Machine Learning Scientist will develop innovative, data-driven solutions for ad personalization at Netflix, leveraging machine learning models to enhance user experience while driving impactful results for advertisers.

In Short

  • Develop and prototype machine learning models for advertising challenges.
  • Deploy models using production-scale data.
  • Apply various modeling techniques and model assessment strategies.
  • Translate model outputs into actionable metrics for stakeholders.
  • Collaborate with product managers and business stakeholders.
  • Communicate findings effectively to technical and non-technical audiences.
  • Work on high-impact problems influencing Netflix’s revenue stream.
  • Innovate using Netflix’s infrastructure and datasets.
  • Champion user experience and privacy in ad algorithms.
  • Stay updated on advancements in machine learning and data science.

Requirements

  • Advanced degree in Computer Science, Statistics, Mathematics, or related field.
  • Proficiency in Python or Scala.
  • Deep knowledge of machine learning and statistical modeling.
  • Experience with large-scale production data.
  • Strong business acumen and communication skills.
  • Experience in building ad relevance and conversion models.

Benefits

  • Comprehensive health plans and mental health support.
  • 401(k) Retirement Plan with employer match.
  • Stock Option Program.
  • Flexible paid time off for full-time salaried employees.
  • Paid leave of absence programs.

Netflix

Netflix

Netflix Global is a leading entertainment service provider with 278 million paid memberships across over 190 countries, offering a diverse range of TV series, films, and games in various genres and languages. The company prioritizes a seamless viewing experience, allowing members to watch content anytime, anywhere, with flexible subscription plans. The N-Tech Systems Engineering team at Netflix is dedicated to enhancing employee collaboration and productivity by developing technical solutions that streamline workflows and reduce friction. With a commitment to innovation and a unique company culture that values diversity and inclusion, Netflix aims to entertain the world by providing access to high-quality content in more than 30 languages.

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